From afc8d7e997023004fb1954cda07512d3a5471d8f Mon Sep 17 00:00:00 2001 From: Marc Oudart Date: Fri, 10 Apr 2020 20:15:57 +0200 Subject: [PATCH] =?UTF-8?q?D=C3=A9but=20module=203=20et=20essais=20noteboo?= =?UTF-8?q?ks?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../Journal-de-bord_MOOC-RR_Marc-Oudart_2.Rmd | 9 + .../exo4/Calcul_telephone.Rmd | 2 +- module2/exo4/Calcul_telephone.pdf | Bin 0 -> 301442 bytes .../exo4/Calcul_t\303\251l\303\251phone.log" | 2 +- module2/exo4/test notebook.Rmd | 411 +++- module2/exo4/test notebook.nb.html | 478 ++++- module2/exo4/test-notebook.Rmd | 415 ++++ module2/exo4/test-notebook.knit.md | 620 ++++++ module2/exo4/test-notebook.pdf | Bin 0 -> 281576 bytes module2/exo4/test-notebook.tex | 853 ++++++++ module2/exo4/test-notebook.utf8.md | 620 ++++++ .../figure-latex/unnamed-chunk-10-1.pdf | Bin 0 -> 4436 bytes .../figure-latex/unnamed-chunk-11-1.pdf | Bin 0 -> 4408 bytes .../figure-latex/unnamed-chunk-12-1.pdf | Bin 0 -> 4438 bytes .../figure-latex/unnamed-chunk-13-1.pdf | Bin 0 -> 4464 bytes .../figure-latex/unnamed-chunk-14-1.pdf | Bin 0 -> 4390 bytes .../figure-latex/unnamed-chunk-19-1.pdf | Bin 0 -> 4643 bytes .../figure-latex/unnamed-chunk-2-1.pdf | Bin 0 -> 4324 bytes .../figure-latex/unnamed-chunk-20-1.pdf | Bin 0 -> 4314 bytes .../figure-latex/unnamed-chunk-3-1.pdf | Bin 0 -> 4318 bytes .../figure-latex/unnamed-chunk-4-1.pdf | Bin 0 -> 4398 bytes .../figure-latex/unnamed-chunk-5-1.pdf | Bin 0 -> 4335 bytes .../figure-latex/unnamed-chunk-6-1.pdf | Bin 0 -> 4338 bytes module3/Analyse syndrome grippal.Rmd | 122 ++ module3/incidence-PAY-3.csv | 1851 +++++++++++++++++ 25 files changed, 5366 insertions(+), 17 deletions(-) rename "module2/exo4/Calcul_t\303\251l\303\251phone.Rmd" => module2/exo4/Calcul_telephone.Rmd (100%) create mode 100644 module2/exo4/Calcul_telephone.pdf create mode 100644 module2/exo4/test-notebook.Rmd create mode 100644 module2/exo4/test-notebook.knit.md create mode 100644 module2/exo4/test-notebook.pdf create mode 100644 module2/exo4/test-notebook.tex create mode 100644 module2/exo4/test-notebook.utf8.md create mode 100644 module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-10-1.pdf create mode 100644 module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-11-1.pdf create mode 100644 module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-12-1.pdf create mode 100644 module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-13-1.pdf create mode 100644 module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-14-1.pdf create mode 100644 module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-19-1.pdf create mode 100644 module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-2-1.pdf create mode 100644 module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-20-1.pdf create mode 100644 module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-3-1.pdf create mode 100644 module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-4-1.pdf create mode 100644 module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-5-1.pdf create mode 100644 module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-6-1.pdf create mode 100644 module3/Analyse syndrome grippal.Rmd create mode 100644 module3/incidence-PAY-3.csv diff --git a/journal/Journal-de-bord_MOOC-RR_Marc-Oudart_2.Rmd b/journal/Journal-de-bord_MOOC-RR_Marc-Oudart_2.Rmd index 2eaa0e9..0e9f8a2 100644 --- a/journal/Journal-de-bord_MOOC-RR_Marc-Oudart_2.Rmd +++ b/journal/Journal-de-bord_MOOC-RR_Marc-Oudart_2.Rmd @@ -226,7 +226,16 @@ Tout est dans le dossier des modules 2. Notamment le fichier de l'exercice 4. - Exercice 5 : +Done dans le dossier associé. +# Module 3 : La main à la pate - une analyse réplicable +## L'étude de cas : Grippe +Téléchargement des données hebdomadaires des cas de syndrome grippaux depuis 1985 sur le site du [réseau sentinnelles](https://www.sentiweb.fr/france/fr/?page=table). + +S'il y a des données manquantes dans le fichier --> __NE JAMAIS LES MODIFIER A LA MAIN mais toujours dans du code pour les personnes voulant réutiliser l'étude puissent comprendre pourquoi la ligne a été supprimée.__ + +# Importation des données +Voir le document RMardown _Analyse syndrome grippal_. -

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-

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+
+

L’étude

+

Cette étude consiste à évaluer mon usage du téléphone depuis le 25 février 2020 pour établir un lien entre la mise en place du confinement le 17 mars 2020 et mon usage téléphonique.

+
+
+

Le fichier de données

+

Le fichier de données ci-après est une table représentant différents paramètres chaque jour depuis le 25/02/2020 :
+- Le nombre d’appels émis : Appels_emis
+- Le nombre d’appels reçus : Appels_recus (Comprends aussi les appels manqués)
+- La durée totale des appels de la journée en seconde : Duree_appels
+- Le nombre de messages reçus : Messages_recus
+- Le nombre de messages envoyés : Messages_envoyes

+

Le fichier peut être importé comme ceci :

+ + + +
df<-read.csv("C:/Users/Marc/Desktop/MOOC/mooc-rr/module2/exo4/Book1.csv", sep = ";")
+head(df)
+ + + +
+
+

L’analyse de l’usage téléphonique

+

Tout d’abord on peut plotter les différents paramètres au cours du temps pour se donner un aperçu de mon usage :

+
    +
  1. Les appels émis
    2. +
+ + + +
barplot(df$Appels_emis, names.arg = df$ï..Date)
+ + + +

Les dates sont mal positionnées mais c’est pas grave. Il semble que j’ai beaucoup appelé autour de la date du 17 mars.

+
    +
  1. Appels reçus
    2. +
+ + + +
barplot(df$Appels_recus, names.arg = df$ï..Date)
+ + + +

Il semble que j’ai reçu beaucoup d’appels la veille du 17 mars puis que j’ai reçu + d’appels en général après cette période qu’avant.

+
    +
  1. Durée appel
    2. +
+ + + +
barplot(df$Duree_appel, names.arg = df$ï..Date)
+ + + +

Là c’est très voyant. J’ai passé beaucoup de temps au téléphone après le 16 mars comparé à avant (sauf 2 fois).

+
    +
  1. Messages reçus
    2. +
+ + + +
barplot(df$Messages_recus, names.arg = df$ï..Date)
+ + + +
    +
  1. Messages envoyés
    2. +
+ + + +
barplot(df$Messages_envoyes, names.arg = df$ï..Date)
+ + + +

Pour les messages, la tendance est inverse aux appels : je reçois et envoie - de sms depuis le 17 mars comparé à avant.
+J’ai eput être changé mon usage de l’un à l’autre.
+Sauf autour du 16-17 mars où j’ai beaucoup communiqué.

+
+

Représentation des moyennes avant et après le 17 mars

+

Je vais rajouté une colonne pour indiqué avant ou après le 17 mars.

+ + + +
add<-c(rep("avant",21), rep("après",21))
+df$add<-add
+ + + +

Oui je sais c’est vraiment nul mais en gros je sais qu’il y a 42 lignes dans mon tableau (je peux le vérifier avec length(df$Appels_emis) par exemple) et que le 17 mars est la 22ème ligne.
+J’ai donc ajouté 21 fois “avant” et 21 fois “après” sur une colonne dans mon data frame df.

+

Maintenant on va pouvoir calculer les moyennes des paramètres avant et après (inclus) le 17 mars 2020.

+ + + +
m_appels_emis<-c(mean(df$Appels_emis[df$add=="avant"]), mean(df$Appels_emis[df$add=="après"]))
+m_appels_recus<-c(mean(df$Appels_recus[df$add=="avant"]), mean(df$Appels_recus[df$add=="après"]))
+m_duree_appel<-c(mean(df$Duree_appel[df$add=="avant"]), mean(df$Duree_appel[df$add=="après"]))
+m_messages_recus<-c(mean(df$Messages_recus[df$add=="avant"]), mean(df$Messages_recus[df$add=="après"]))
+m_messages_envoyes<-c(mean(df$Messages_envoyes[df$add=="avant"]), mean(df$Messages_envoyes[df$add=="après"]))
+m_appels_emis
+m_appels_recus
+m_messages_recus
+m_messages_envoyes
+ + + +

Et les écarts-types :

+ + + +
sd_appels_emis<-c(sd(df$Appels_emis[df$add=="avant"]), sd(df$Appels_emis[df$add=="après"]))
+sd_appels_recus<-c(sd(df$Appels_recus[df$add=="avant"]), sd(df$Appels_recus[df$add=="après"]))
+sd_duree_appel<-c(sd(df$Duree_appel[df$add=="avant"]), sd(df$Duree_appel[df$add=="après"]))
+sd_messages_recus<-c(sd(df$Messages_recus[df$add=="avant"]), sd(df$Messages_recus[df$add=="après"]))
+sd_messages_envoyes<-c(sd(df$Messages_envoyes[df$add=="avant"]), sd(df$Messages_envoyes[df$add=="après"]))
+ + + +

Maintenant on va pouvoir plotter les moyennes de tous les paramètres avant et après (inclus) le 17 mars 2020.
+Le mieux c’est d’utiliser ggplot.

+ + + +
#install.packages("ggplot2")
+library(ggplot2)
+a<-data.frame(m_appels_emis, sd_appels_emis, c("aa", "ap"))
+ggplot(a, aes(x = a$c..aa....ap.., y = m_appels_emis))+
+    geom_bar(stat = "identity")+
+    geom_errorbar(ymin = a$m_appels_emis-a$sd_appels_emis, ymax = a$m_appels_emis+a$sd_appels_emis)+ 
+    ylim(-1,4)+
+    labs(title="Appels émis")
+ + + + +
b<-data.frame(m_appels_recus, sd_appels_recus, c("aa", "ap"))
+ggplot(b, aes(x = b$c..aa....ap.., y = b$m_appels_recus))+
+    geom_bar(stat = "identity")+
+    geom_errorbar(ymin = b$m_appels_recus-b$sd_appels_recus, ymax = b$m_appels_recus+b$sd_appels_recus)+ 
+    ylim(-1,3)+
+    labs(title="Appels recus")
+ + + + +
c<-data.frame(m_duree_appel, sd_duree_appel, c("aa", "ap"))
+ggplot(c, aes(x = c$c..aa....ap.., y = c$m_duree_appel))+
+    geom_bar(stat = "identity")+
+    geom_errorbar(ymin = c$m_duree_appel-c$sd_duree_appel, ymax = c$m_duree_appel+c$sd_duree_appel)+ 
+    ylim(-500,2000)+
+    labs(title="Duree appel")
+ + + + +
d<-data.frame(m_messages_envoyes, sd_messages_envoyes, c("aa", "ap"))
+ggplot(d, aes(x = d$c..aa....ap.., y = d$m_messages_envoyes))+
+    geom_bar(stat = "identity")+
+    geom_errorbar(ymin = d$m_messages_envoyes-d$sd_messages_envoyes, ymax = d$m_messages_envoyes+d$sd_messages_envoyes)+ 
+    ylim(0,12)+
+    labs(title="Messages envoyes")
+ + + + +
e<-data.frame(m_messages_recus, sd_messages_recus, c("aa", "ap"))
+ggplot(e, aes(x = e$c..aa....ap.., y = e$m_messages_recus))+
+    geom_bar(stat = "identity")+
+    geom_errorbar(ymin = e$m_messages_recus-e$sd_messages_recus, ymax = e$m_messages_recus+e$sd_messages_recus)+ 
+    ylim(-2,12)+
+    labs(title="Messages recus")
+ + + +

Bilan : On voit des augmentations dans les appels et une diminution dans les messages mais les écarts types sont énormes

+

A mon avis, rien n’est significatif mais on peut s’entrainer sur un cas.
+Comme il n’y a que 21 valeurs dans chaque groupe, je ne peux pas appliquer le théorème central limite. Je vais donc vérifier la distribution normale de chaque groupe ainsi que l’égalité des variances pour voir quel test statistique appliqué.
+Prenons comme exemple la durée de l’appel.

- -
plot(cars)
+ +
shapiro.test(df$Duree_appel[df$add=="avant"])
+shapiro.test(df$Duree_appel[df$add=="après"])
-

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+

Les tests de Shapiro-Wilk sont significatifs donc les distributions ne sont pas normales.
+Utilisation de tests non paramétriques type Mann-Whitney :

+ + +
wilcox.test(df$Duree_appel[df$add=="avant"],df$Duree_appel[df$add=="après"])
+ + + +

Ah ben en fait la durée des appels a significativement augmentée après le 17 mars 2020. Je ne suis pas super fort en statistiques donc j’espère que c’est correct. Aussi, 21 échantillons par groupe c’est pas mal pour un test non paramétrique.

+

Du coup on va essayer de mettre une étoile sur le plot (ce qui n’est pas compris dans les fonctions ggplot).
+Pour cela on va donc tester le code d’un ami disponible sur Github.

+ + + +
#install.packages("devtools")
+library(devtools)
+#Besoin de Rtools 3.5
+#install_github("EvenStar69/significativity.bar/significativity.bar")
+library(significativity.bar)
+ + + +

Bon j’ai dû un peu changer sa fonction parce qu’elle n’est plus compatible avec ggplot 3.3.
+J’ai changé la manière de retrouver les coordonnées y : The position of ymax in ggplot_build(plot)$data[[1]] changed from column 6 to 7.
+Et j’ai changé la manière de retrouver l’échalle en y : panel_ranges in ggplot_build(plot)$layout does not exist anymore … use panel_scale_y instead.
+J’ai aussi dû mettre à jour R vers la version 3.6.3.
+Voici le code modifié de sa fonction :

+ + + +
significativity_bar <- function(plot, groups, text = "*", text_height = 0.0275, size_bar = 1, color_bar = "black", size_text = 8, color_text = "black", font_face = 1, font_style = "serif", line_type = "solid"){
+  
+  
+  
+  if (!require("ggplot2", character.only=T, quietly=T)){ # use library ggplot
+    
+    install.packages("ggplot2")
+    
+    library(ggplot2, character.only=T)
+    
+  }
+  
+  
+  
+  if (class(plot)[1] != "gg"){
+    
+    stop("Your input plot is not a ggplot")
+    
+  }
+  
+  if (length(groups) != 2){
+    
+    stop("Please select only 2 groups between which you want the error bar")
+    
+  }
+  
+  if (!is.vector(groups)){
+    
+    stop("Please input your 2 selected groups in a vector")
+    
+  }
+  
+  if (!is.character(text)) {
+    
+    stop("Please input the text above the bar as character")
+    
+  }
+  
+  if (!is.numeric(text_height) | length(text_height) > 1){
+    
+    stop("Please input one numeric value for the text height")
+    
+  }
+  
+  if (!is.numeric(size_bar) | length(size_bar) > 1){
+    
+    stop("Please input one numeric value for the bar size")
+    
+  }
+  
+  if (!is.character(color_bar)){
+    
+    stop("Please input an existing R color, as a character, for the color of the bar")
+    
+  }
+  
+  if (!is.numeric(size_text) | length(size_text) > 1){
+    
+    stop("Please input one numeric value for the text size")
+    
+  }
+  
+  if (!is.numeric(font_face) | length(font_face) > 1){
+    
+    stop("Please input one numeric value for the font face")
+    
+  }
+  
+  if (!is.character(color_text)){
+    
+    stop("Please input an existing R color, as a character, for the color of the text")
+    
+  }
+  
+  if (!is.character(font_style)){
+    
+    stop("Please input an existing font family, as a character, for the color of the bar")
+    
+  }
+  
+  if (!is.character(line_type)){
+    
+    stop("Please input an existing line style, as a character, for the color of the bar")
+    
+  }
+  
+  
+  
+  if (text_height >=1){
+    
+    warning("text_height should be between 0 and 1, default value for * and around 0.04 for text are advised")
+    
+  }
+  
+  
+  
+  
+  
+  if (class(as.list.environment(plot$layers[[1]])$geom)[1] == "GeomPoint"){ # if the ggplot is a dotplot
+    
+    coords = ggplot_build(plot)$data[[1]] # get the coordinates of the points
+    
+    xcoords = c()
+    
+    ycoords = c()
+    
+    for (i in groups){ # get the x coordinates of all coordinates in a vector, for the 2 selected groups
+      
+      xcoord_temp = unique(coords$x)[i]
+      
+      xcoords = append(xcoords, xcoord_temp)
+      
+    }
+    
+    for (i in c(1,2)){
+      
+      ycoord_temp = max(coords[coords$x == xcoords[i],]$y) # get the y coordinate of the upper point of each group
+      
+      ycoords = append(ycoords, ycoord_temp)
+      
+    }
+    
+    
+    
+    y_range = ggplot_build(plot)$layout$panel_scales_y[[1]]$limits # get the total height of the y scale
+    # panel_ranges in ggplot_build(plot)$layout does not exist anymore ... use panel_scale_y instead
+    
+    y_sum = sum(abs(y_range)) 
+    
+    y_scale = (7.5/100)*y_sum # starting position of the vertical bar (determined % of the total y scale)
+    
+    bar_height = y_scale + ((5/100)*y_sum) # final position of the vertical bar (determined % of the total y scale in addition to y_scale)
+    
+    
+    
+    ycoord_top = max(ycoords) # the bar should take the heighest of the two groups as a reference
+    
+    coord_bar = data.frame(x = c(xcoords[1], xcoords[1], xcoords[2], xcoords[2]), y = c(ycoord_top + y_scale, ycoord_top + bar_height, ycoord_top + bar_height, ycoord_top + y_scale)) # final coordinates of the bar
+    
+    
+    
+    star_x = mean(xcoords) # x coordinate of the text above the bar (in the middle of the two groups)
+    
+    star_y = ycoord_top + bar_height + ((2.75/100)*y_sum) # y coordinate of the text above the bar (above the bar by a determined factor)
+    
+    coord_star = c(star_x, star_y) # x,y coordinates of the text above the bar
+    
+    
+    
+    plot = plot + geom_path(data = coord_bar, aes(x=x, y=y), size = size_bar, color = color_bar, linetype = line_type) + annotate("text", x = star_x, y = star_y, label = text, size = size_text, color = color_text, fontface = font_face, family = font_style) # create the new ggplot
+    
+    print(plot)
+    
+    
+    
+  } else if (class(as.list.environment(plot$layers[[1]])$geom)[1] == "GeomBar") { # if the ggplot is a dotplot
+    
+    coords = ggplot_build(plot)$data[[1]]
+    
+    xcoords = c()  
+    
+    ycoords = c()
+    
+    for (i in groups){ # get the x and y coordinates of the two groups                                      
+      
+      xcoord_temp = mean(c(coords[i,]$xmin, coords[i,]$xmax))
+      
+      xcoords = append(xcoords, xcoord_temp)
+      
+      ycoord_temp = coords[i,7] # The position of ymax in ggplot_build(plot)$data[[1]] changed from column 6 to 7
+      
+      ycoords = append(ycoords, ycoord_temp)
+      
+    }
+    
+    
+    
+    y_range = ggplot_build(plot)$layout$panel_scales_y[[1]]$limits # get the total height of the y scale
+    
+    y_sum = sum(abs(y_range))
+    
+    y_scale = (7.5/100)*y_sum  # starting position of the vertical bar (determined % of the total y scale)
+    
+    bar_height = y_scale + ((5/100)*y_sum) # final position of the vertical bar (determined % of the total y scale in addition to y_scale)
+    
+    
+    
+    ycoord_top = max(ycoords) # the bar should take the heighest of the two groups as a reference
+    
+    coord_bar = data.frame(x = c(xcoords[1], xcoords[1], xcoords[2], xcoords[2]), y = c(ycoord_top + y_scale, ycoord_top + bar_height, ycoord_top + bar_height, ycoord_top + y_scale)) #  final coordinates of the bar
+    
+    
+    
+    star_x = mean(xcoords) # x coordinate of the text above the bar (in the middle of the two groups)
+    
+    star_y = ycoord_top + bar_height + (text_height*y_sum) # y coordinate of the text above the bar (above the bar by a determined factor)
+    
+    coord_star = c(star_x, star_y) # x,y coordinates of the text above the bar
+    
+    
+    
+    plot = plot + geom_path(data = coord_bar, aes(x=x, y=y), size = size_bar, color = color_bar, linetype = line_type) + annotate("text", x = star_x, y = star_y, label = text, size = size_text, color = color_text, fontface = font_face, family = font_style) # create the new ggplot
+    
+    print(plot)
+    
+  }
+  
+}
+ + + + + + +
gg<- ggplot(c, aes(x = c..aa....ap.., y = as.numeric(m_duree_appel)))+
+    geom_bar(stat = "identity")+
+    geom_errorbar(ymin = m_duree_appel-sd_duree_appel, ymax = m_duree_appel+sd_duree_appel)+ 
+    ylim(-500,5000)+
+    labs(title="Duree appel")
+significativity_bar(gg, groups = c(1,2))
+ + + +
+
+

Taux de réponses

+

Cette partie c’est juste pour voir si je répond autant aux messages qu’on m’en envoie.

+ + + +
Ratio<-df$Messages_recus/df$Messages_envoyes
+#Remplacement des NaN et inf (division par 0) en 0.
+Ratio[is.na(Ratio)]<-0
+Ratio[is.infinite(Ratio)]<-0
+barplot(Ratio)
+ + + + +
mean(Ratio)
+ + + +

En moyenne c’est assez équilibré : je réponds autant de fois qu’on m’envoie un message.

+
+
+
+

Conclusion

+

J’ai passé pas mal de temps à faire ça mais ça m’a permis de bien prendre en main l’outil.
+Je conçois que mon étude est assez sale et que les manières de plotter ne sont vraiment pas optimisées mais ce n’était pas vraiment le but de l’exercice.

+

Après avoir compilé, je n’ai pas pû le faire en pdf (des erreurs de polices qui ne passent pas avec LaTeX on dirait …).
+Aussi, j’ai remarqué qu’il fallait laissé un retour chariot après la visualisation du plot sinon le texte se met à côté dans le rendu.

+ +
-
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
+
---
title: "R Notebook"
output:
  pdf_document: default
  html_notebook: default
---


## L'étude
Cette étude consiste à évaluer mon usage du téléphone depuis le 25 février 2020 pour établir un lien entre la mise en place du confinement le 17 mars 2020 et mon usage téléphonique.

## Le fichier de données
Le fichier de données ci-après est une table représentant différents paramètres chaque jour depuis le 25/02/2020 :   
- Le nombre d'appels émis : Appels\_emis  
- Le nombre d'appels reçus : Appels\_recus (Comprends aussi les appels manqués)  
- La durée totale des appels de la journée en seconde : Duree\_appels  
- Le nombre de messages reçus : Messages\_recus  
- Le nombre de messages envoyés : Messages\_envoyes  
  
Le fichier peut être importé comme ceci :  
```{r}
df<-read.csv("C:/Users/Marc/Desktop/MOOC/mooc-rr/module2/exo4/Book1.csv", sep = ";")
head(df)
```

## L'analyse de l'usage téléphonique

Tout d'abord on peut plotter les différents paramètres au cours du temps pour se donner un aperçu de mon usage :  
  
1. Les appels émis  
```{r}
barplot(df$Appels_emis, names.arg = df$ï..Date)
```

Les dates sont mal positionnées mais c'est pas grave. Il semble que j'ai beaucoup appelé autour de la date du 17 mars.  
  
2. Appels reçus  
```{r}
barplot(df$Appels_recus, names.arg = df$ï..Date)
```

Il semble que j'ai reçu beaucoup d'appels la veille du 17 mars puis que j'ai reçu + d'appels en général après cette période qu'avant.  
  
3. Durée appel  
```{r}
barplot(df$Duree_appel, names.arg = df$ï..Date)
```

Là c'est très voyant. J'ai passé beaucoup de temps au téléphone après le 16 mars comparé à avant (sauf 2 fois).  
  
4. Messages reçus  
```{r}
barplot(df$Messages_recus, names.arg = df$ï..Date)
```
  
5. Messages envoyés  
```{r}
barplot(df$Messages_envoyes, names.arg = df$ï..Date)
```

Pour les messages, la tendance est inverse aux appels : je reçois et envoie - de sms depuis le 17 mars comparé à avant.  
J'ai eput être changé mon usage de l'un à l'autre.  
Sauf autour du 16-17 mars où j'ai beaucoup communiqué.  

### Représentation des moyennes avant et après le 17 mars
Je vais rajouté une colonne pour indiqué avant ou après le 17 mars.  
```{r}
add<-c(rep("avant",21), rep("après",21))
df$add<-add
```
Oui je sais c'est vraiment nul mais en gros je sais qu'il y a 42 lignes dans mon tableau (je peux le vérifier avec `length(df$Appels_emis)` par exemple) et que le 17 mars est la 22ème ligne.  
J'ai donc ajouté 21 fois "avant" et 21 fois "après" sur une colonne dans mon data frame df.  
  
  
Maintenant on va pouvoir calculer les moyennes des paramètres avant et après (inclus) le 17 mars 2020.  
```{r}
m_appels_emis<-c(mean(df$Appels_emis[df$add=="avant"]), mean(df$Appels_emis[df$add=="après"]))
m_appels_recus<-c(mean(df$Appels_recus[df$add=="avant"]), mean(df$Appels_recus[df$add=="après"]))
m_duree_appel<-c(mean(df$Duree_appel[df$add=="avant"]), mean(df$Duree_appel[df$add=="après"]))
m_messages_recus<-c(mean(df$Messages_recus[df$add=="avant"]), mean(df$Messages_recus[df$add=="après"]))
m_messages_envoyes<-c(mean(df$Messages_envoyes[df$add=="avant"]), mean(df$Messages_envoyes[df$add=="après"]))
m_appels_emis
m_appels_recus
m_messages_recus
m_messages_envoyes
```
Et les écarts-types :  
```{r}
sd_appels_emis<-c(sd(df$Appels_emis[df$add=="avant"]), sd(df$Appels_emis[df$add=="après"]))
sd_appels_recus<-c(sd(df$Appels_recus[df$add=="avant"]), sd(df$Appels_recus[df$add=="après"]))
sd_duree_appel<-c(sd(df$Duree_appel[df$add=="avant"]), sd(df$Duree_appel[df$add=="après"]))
sd_messages_recus<-c(sd(df$Messages_recus[df$add=="avant"]), sd(df$Messages_recus[df$add=="après"]))
sd_messages_envoyes<-c(sd(df$Messages_envoyes[df$add=="avant"]), sd(df$Messages_envoyes[df$add=="après"]))
```

  
Maintenant on va pouvoir plotter les moyennes de tous les paramètres avant et après (inclus) le 17 mars 2020.  
Le mieux c'est d'utiliser ggplot.   
```{r}
#install.packages("ggplot2")
library(ggplot2)
a<-data.frame(m_appels_emis, sd_appels_emis, c("aa", "ap"))
ggplot(a, aes(x = a$c..aa....ap.., y = m_appels_emis))+
    geom_bar(stat = "identity")+
    geom_errorbar(ymin = a$m_appels_emis-a$sd_appels_emis, ymax = a$m_appels_emis+a$sd_appels_emis)+ 
    ylim(-1,4)+
    labs(title="Appels émis")
```
```{r}
b<-data.frame(m_appels_recus, sd_appels_recus, c("aa", "ap"))
ggplot(b, aes(x = b$c..aa....ap.., y = b$m_appels_recus))+
    geom_bar(stat = "identity")+
    geom_errorbar(ymin = b$m_appels_recus-b$sd_appels_recus, ymax = b$m_appels_recus+b$sd_appels_recus)+ 
    ylim(-1,3)+
    labs(title="Appels recus")
```
```{r}
c<-data.frame(m_duree_appel, sd_duree_appel, c("aa", "ap"))
ggplot(c, aes(x = c$c..aa....ap.., y = c$m_duree_appel))+
    geom_bar(stat = "identity")+
    geom_errorbar(ymin = c$m_duree_appel-c$sd_duree_appel, ymax = c$m_duree_appel+c$sd_duree_appel)+ 
    ylim(-500,2000)+
    labs(title="Duree appel")
```
```{r}
d<-data.frame(m_messages_envoyes, sd_messages_envoyes, c("aa", "ap"))
ggplot(d, aes(x = d$c..aa....ap.., y = d$m_messages_envoyes))+
    geom_bar(stat = "identity")+
    geom_errorbar(ymin = d$m_messages_envoyes-d$sd_messages_envoyes, ymax = d$m_messages_envoyes+d$sd_messages_envoyes)+ 
    ylim(0,12)+
    labs(title="Messages envoyes")
```
```{r}
e<-data.frame(m_messages_recus, sd_messages_recus, c("aa", "ap"))
ggplot(e, aes(x = e$c..aa....ap.., y = e$m_messages_recus))+
    geom_bar(stat = "identity")+
    geom_errorbar(ymin = e$m_messages_recus-e$sd_messages_recus, ymax = e$m_messages_recus+e$sd_messages_recus)+ 
    ylim(-2,12)+
    labs(title="Messages recus")
```

__Bilan : On voit des augmentations dans les appels et une diminution dans les messages mais les écarts types sont énormes__  
  
A mon avis, rien n'est significatif mais on peut s'entrainer sur un cas.  
Comme il n'y a que 21 valeurs dans chaque groupe, je ne peux pas appliquer le théorème central limite. Je vais donc vérifier la distribution normale de chaque groupe ainsi que l'égalité des variances pour voir quel test statistique appliqué.  
Prenons comme exemple la durée de l'appel.  
```{r}
shapiro.test(df$Duree_appel[df$add=="avant"])
shapiro.test(df$Duree_appel[df$add=="après"])
```
Les tests de Shapiro-Wilk sont significatifs donc les distributions ne sont pas normales.  
Utilisation de tests non paramétriques type Mann-Whitney :  
```{r}
wilcox.test(df$Duree_appel[df$add=="avant"],df$Duree_appel[df$add=="après"])
```
Ah ben en fait la durée des appels a significativement augmentée après le 17 mars 2020. Je ne suis pas super fort en statistiques donc j'espère que c'est correct. Aussi, 21 échantillons par groupe c'est pas mal pour un test non paramétrique.  
  
Du coup on va essayer de mettre une étoile sur le plot (ce qui n'est pas compris dans les fonctions ggplot).  
Pour cela on va donc tester le code d'un ami disponible sur [Github](https://github.com/EvenStar69/significativity.bar).  
```{r}
#install.packages("devtools")
library(devtools)
#Besoin de Rtools 3.5
#install_github("EvenStar69/significativity.bar/significativity.bar")
library(significativity.bar)
```
Bon j'ai dû un peu changer sa fonction parce qu'elle n'est plus compatible avec ggplot 3.3.  
J'ai changé la manière de retrouver les coordonnées y : The position of ymax in ggplot\_build(plot)\$data[[1]] changed from column 6 to 7.  
Et j'ai changé la manière de retrouver l'échalle en y : panel_ranges in ggplot\_build(plot)\$layout does not exist anymore ... use panel\_scale\_y instead.  
J'ai aussi dû mettre à jour R vers la version 3.6.3.  
Voici le code modifié de sa fonction :  
```{r}
significativity_bar <- function(plot, groups, text = "*", text_height = 0.0275, size_bar = 1, color_bar = "black", size_text = 8, color_text = "black", font_face = 1, font_style = "serif", line_type = "solid"){
  
  
  
  if (!require("ggplot2", character.only=T, quietly=T)){ # use library ggplot
    
    install.packages("ggplot2")
    
    library(ggplot2, character.only=T)
    
  }
  
  
  
  if (class(plot)[1] != "gg"){
    
    stop("Your input plot is not a ggplot")
    
  }
  
  if (length(groups) != 2){
    
    stop("Please select only 2 groups between which you want the error bar")
    
  }
  
  if (!is.vector(groups)){
    
    stop("Please input your 2 selected groups in a vector")
    
  }
  
  if (!is.character(text)) {
    
    stop("Please input the text above the bar as character")
    
  }
  
  if (!is.numeric(text_height) | length(text_height) > 1){
    
    stop("Please input one numeric value for the text height")
    
  }
  
  if (!is.numeric(size_bar) | length(size_bar) > 1){
    
    stop("Please input one numeric value for the bar size")
    
  }
  
  if (!is.character(color_bar)){
    
    stop("Please input an existing R color, as a character, for the color of the bar")
    
  }
  
  if (!is.numeric(size_text) | length(size_text) > 1){
    
    stop("Please input one numeric value for the text size")
    
  }
  
  if (!is.numeric(font_face) | length(font_face) > 1){
    
    stop("Please input one numeric value for the font face")
    
  }
  
  if (!is.character(color_text)){
    
    stop("Please input an existing R color, as a character, for the color of the text")
    
  }
  
  if (!is.character(font_style)){
    
    stop("Please input an existing font family, as a character, for the color of the bar")
    
  }
  
  if (!is.character(line_type)){
    
    stop("Please input an existing line style, as a character, for the color of the bar")
    
  }
  
  
  
  if (text_height >=1){
    
    warning("text_height should be between 0 and 1, default value for * and around 0.04 for text are advised")
    
  }
  
  
  
  
  
  if (class(as.list.environment(plot$layers[[1]])$geom)[1] == "GeomPoint"){ # if the ggplot is a dotplot
    
    coords = ggplot_build(plot)$data[[1]] # get the coordinates of the points
    
    xcoords = c()
    
    ycoords = c()
    
    for (i in groups){ # get the x coordinates of all coordinates in a vector, for the 2 selected groups
      
      xcoord_temp = unique(coords$x)[i]
      
      xcoords = append(xcoords, xcoord_temp)
      
    }
    
    for (i in c(1,2)){
      
      ycoord_temp = max(coords[coords$x == xcoords[i],]$y) # get the y coordinate of the upper point of each group
      
      ycoords = append(ycoords, ycoord_temp)
      
    }
    
    
    
    y_range = ggplot_build(plot)$layout$panel_scales_y[[1]]$limits # get the total height of the y scale
    # panel_ranges in ggplot_build(plot)$layout does not exist anymore ... use panel_scale_y instead
    
    y_sum = sum(abs(y_range)) 
    
    y_scale = (7.5/100)*y_sum # starting position of the vertical bar (determined % of the total y scale)
    
    bar_height = y_scale + ((5/100)*y_sum) # final position of the vertical bar (determined % of the total y scale in addition to y_scale)
    
    
    
    ycoord_top = max(ycoords) # the bar should take the heighest of the two groups as a reference
    
    coord_bar = data.frame(x = c(xcoords[1], xcoords[1], xcoords[2], xcoords[2]), y = c(ycoord_top + y_scale, ycoord_top + bar_height, ycoord_top + bar_height, ycoord_top + y_scale)) # final coordinates of the bar
    
    
    
    star_x = mean(xcoords) # x coordinate of the text above the bar (in the middle of the two groups)
    
    star_y = ycoord_top + bar_height + ((2.75/100)*y_sum) # y coordinate of the text above the bar (above the bar by a determined factor)
    
    coord_star = c(star_x, star_y) # x,y coordinates of the text above the bar
    
    
    
    plot = plot + geom_path(data = coord_bar, aes(x=x, y=y), size = size_bar, color = color_bar, linetype = line_type) + annotate("text", x = star_x, y = star_y, label = text, size = size_text, color = color_text, fontface = font_face, family = font_style) # create the new ggplot
    
    print(plot)
    
    
    
  } else if (class(as.list.environment(plot$layers[[1]])$geom)[1] == "GeomBar") { # if the ggplot is a dotplot
    
    coords = ggplot_build(plot)$data[[1]]
    
    xcoords = c()  
    
    ycoords = c()
    
    for (i in groups){ # get the x and y coordinates of the two groups                                      
      
      xcoord_temp = mean(c(coords[i,]$xmin, coords[i,]$xmax))
      
      xcoords = append(xcoords, xcoord_temp)
      
      ycoord_temp = coords[i,7] # The position of ymax in ggplot_build(plot)$data[[1]] changed from column 6 to 7
      
      ycoords = append(ycoords, ycoord_temp)
      
    }
    
    
    
    y_range = ggplot_build(plot)$layout$panel_scales_y[[1]]$limits # get the total height of the y scale
    
    y_sum = sum(abs(y_range))
    
    y_scale = (7.5/100)*y_sum  # starting position of the vertical bar (determined % of the total y scale)
    
    bar_height = y_scale + ((5/100)*y_sum) # final position of the vertical bar (determined % of the total y scale in addition to y_scale)
    
    
    
    ycoord_top = max(ycoords) # the bar should take the heighest of the two groups as a reference
    
    coord_bar = data.frame(x = c(xcoords[1], xcoords[1], xcoords[2], xcoords[2]), y = c(ycoord_top + y_scale, ycoord_top + bar_height, ycoord_top + bar_height, ycoord_top + y_scale)) #  final coordinates of the bar
    
    
    
    star_x = mean(xcoords) # x coordinate of the text above the bar (in the middle of the two groups)
    
    star_y = ycoord_top + bar_height + (text_height*y_sum) # y coordinate of the text above the bar (above the bar by a determined factor)
    
    coord_star = c(star_x, star_y) # x,y coordinates of the text above the bar
    
    
    
    plot = plot + geom_path(data = coord_bar, aes(x=x, y=y), size = size_bar, color = color_bar, linetype = line_type) + annotate("text", x = star_x, y = star_y, label = text, size = size_text, color = color_text, fontface = font_face, family = font_style) # create the new ggplot
    
    print(plot)
    
  }
  
}
```


```{r}
gg<- ggplot(c, aes(x = c..aa....ap.., y = as.numeric(m_duree_appel)))+
    geom_bar(stat = "identity")+
    geom_errorbar(ymin = m_duree_appel-sd_duree_appel, ymax = m_duree_appel+sd_duree_appel)+ 
    ylim(-500,5000)+
    labs(title="Duree appel")
significativity_bar(gg, groups = c(1,2))
```


### Taux de réponses

Cette partie c'est juste pour voir si je répond autant aux messages qu'on m'en envoie.  
```{r}
Ratio<-df$Messages_recus/df$Messages_envoyes
#Remplacement des NaN et inf (division par 0) en 0.
Ratio[is.na(Ratio)]<-0
Ratio[is.infinite(Ratio)]<-0
barplot(Ratio)
```
```{r}
mean(Ratio)
```
En moyenne c'est assez équilibré : je réponds autant de fois qu'on m'envoie un message.  

## Conclusion

__J'ai passé pas mal de temps à faire ça mais ça m'a permis de bien prendre en main l'outil.  
Je conçois que mon étude est assez sale et que les manières de plotter ne sont vraiment pas optimisées mais ce n'était pas vraiment le but de l'exercice.__  
  
__Après avoir compilé, je n'ai pas pû le faire en pdf (des erreurs de polices qui ne passent pas avec LaTeX on dirait ...).  
Aussi, j'ai remarqué qu'il fallait laissé un retour chariot après la visualisation du plot sinon le texte se met à côté dans le rendu.__

diff --git a/module2/exo4/test-notebook.Rmd b/module2/exo4/test-notebook.Rmd new file mode 100644 index 0000000..aace0ad --- /dev/null +++ b/module2/exo4/test-notebook.Rmd @@ -0,0 +1,415 @@ +--- +title: "R Notebook" +output: + pdf_document: default + html_notebook: default +--- + + +## L'étude +Cette étude consiste à évaluer mon usage du téléphone depuis le 25 février 2020 pour établir un lien entre la mise en place du confinement le 17 mars 2020 et mon usage téléphonique. + +## Le fichier de données +Le fichier de données ci-après est une table représentant différents paramètres chaque jour depuis le 25/02/2020 : +- Le nombre d'appels émis : Appels\_emis +- Le nombre d'appels reçus : Appels\_recus (Comprends aussi les appels manqués) +- La durée totale des appels de la journée en seconde : Duree\_appels +- Le nombre de messages reçus : Messages\_recus +- Le nombre de messages envoyés : Messages\_envoyes + +Le fichier peut être importé comme ceci : +```{r} +df<-read.csv("C:/Users/Marc/Desktop/MOOC/mooc-rr/module2/exo4/Book1.csv", sep = ";") +head(df) +``` + +## L'analyse de l'usage téléphonique + +Tout d'abord on peut plotter les différents paramètres au cours du temps pour se donner un aperçu de mon usage : + +1. Les appels émis +```{r} +barplot(df$Appels_emis, names.arg = df$ï..Date) +``` + +Les dates sont mal positionnées mais c'est pas grave. Il semble que j'ai beaucoup appelé autour de la date du 17 mars. + +2. Appels reçus +```{r} +barplot(df$Appels_recus, names.arg = df$ï..Date) +``` + +Il semble que j'ai reçu beaucoup d'appels la veille du 17 mars puis que j'ai reçu + d'appels en général après cette période qu'avant. + +3. Durée appel +```{r} +barplot(df$Duree_appel, names.arg = df$ï..Date) +``` + +Là c'est très voyant. J'ai passé beaucoup de temps au téléphone après le 16 mars comparé à avant (sauf 2 fois). + +4. Messages reçus +```{r} +barplot(df$Messages_recus, names.arg = df$ï..Date) +``` + +5. Messages envoyés +```{r} +barplot(df$Messages_envoyes, names.arg = df$ï..Date) +``` + +Pour les messages, la tendance est inverse aux appels : je reçois et envoie - de sms depuis le 17 mars comparé à avant. +J'ai eput être changé mon usage de l'un à l'autre. +Sauf autour du 16-17 mars où j'ai beaucoup communiqué. + +### Représentation des moyennes avant et après le 17 mars +Je vais rajouté une colonne pour indiqué avant ou après le 17 mars. +```{r} +add<-c(rep("avant",21), rep("après",21)) +df$add<-add +``` +Oui je sais c'est vraiment nul mais en gros je sais qu'il y a 42 lignes dans mon tableau (je peux le vérifier avec `length(df$Appels_emis)` par exemple) et que le 17 mars est la 22ème ligne. +J'ai donc ajouté 21 fois "avant" et 21 fois "après" sur une colonne dans mon data frame df. + + +Maintenant on va pouvoir calculer les moyennes des paramètres avant et après (inclus) le 17 mars 2020. +```{r} +m_appels_emis<-c(mean(df$Appels_emis[df$add=="avant"]), mean(df$Appels_emis[df$add=="après"])) +m_appels_recus<-c(mean(df$Appels_recus[df$add=="avant"]), mean(df$Appels_recus[df$add=="après"])) +m_duree_appel<-c(mean(df$Duree_appel[df$add=="avant"]), mean(df$Duree_appel[df$add=="après"])) +m_messages_recus<-c(mean(df$Messages_recus[df$add=="avant"]), mean(df$Messages_recus[df$add=="après"])) +m_messages_envoyes<-c(mean(df$Messages_envoyes[df$add=="avant"]), mean(df$Messages_envoyes[df$add=="après"])) +m_appels_emis +m_appels_recus +m_messages_recus +m_messages_envoyes +``` +Et les écarts-types : +```{r} +sd_appels_emis<-c(sd(df$Appels_emis[df$add=="avant"]), sd(df$Appels_emis[df$add=="après"])) +sd_appels_recus<-c(sd(df$Appels_recus[df$add=="avant"]), sd(df$Appels_recus[df$add=="après"])) +sd_duree_appel<-c(sd(df$Duree_appel[df$add=="avant"]), sd(df$Duree_appel[df$add=="après"])) +sd_messages_recus<-c(sd(df$Messages_recus[df$add=="avant"]), sd(df$Messages_recus[df$add=="après"])) +sd_messages_envoyes<-c(sd(df$Messages_envoyes[df$add=="avant"]), sd(df$Messages_envoyes[df$add=="après"])) +``` + + +Maintenant on va pouvoir plotter les moyennes de tous les paramètres avant et après (inclus) le 17 mars 2020. +Le mieux c'est d'utiliser ggplot. +```{r} +#install.packages("ggplot2") +library(ggplot2) +a<-data.frame(m_appels_emis, sd_appels_emis, c("aa", "ap")) +ggplot(a, aes(x = a$c..aa....ap.., y = m_appels_emis))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = a$m_appels_emis-a$sd_appels_emis, ymax = a$m_appels_emis+a$sd_appels_emis)+ + ylim(-1,4)+ + labs(title="Appels émis") +``` +```{r} +b<-data.frame(m_appels_recus, sd_appels_recus, c("aa", "ap")) +ggplot(b, aes(x = b$c..aa....ap.., y = b$m_appels_recus))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = b$m_appels_recus-b$sd_appels_recus, ymax = b$m_appels_recus+b$sd_appels_recus)+ + ylim(-1,3)+ + labs(title="Appels recus") +``` +```{r} +c<-data.frame(m_duree_appel, sd_duree_appel, c("aa", "ap")) +ggplot(c, aes(x = c$c..aa....ap.., y = c$m_duree_appel))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = c$m_duree_appel-c$sd_duree_appel, ymax = c$m_duree_appel+c$sd_duree_appel)+ + ylim(-500,2000)+ + labs(title="Duree appel") +``` +```{r} +d<-data.frame(m_messages_envoyes, sd_messages_envoyes, c("aa", "ap")) +ggplot(d, aes(x = d$c..aa....ap.., y = d$m_messages_envoyes))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = d$m_messages_envoyes-d$sd_messages_envoyes, ymax = d$m_messages_envoyes+d$sd_messages_envoyes)+ + ylim(0,12)+ + labs(title="Messages envoyes") +``` +```{r} +e<-data.frame(m_messages_recus, sd_messages_recus, c("aa", "ap")) +ggplot(e, aes(x = e$c..aa....ap.., y = e$m_messages_recus))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = e$m_messages_recus-e$sd_messages_recus, ymax = e$m_messages_recus+e$sd_messages_recus)+ + ylim(-2,12)+ + labs(title="Messages recus") +``` + +__Bilan : On voit des augmentations dans les appels et une diminution dans les messages mais les écarts types sont énormes__ + +A mon avis, rien n'est significatif mais on peut s'entrainer sur un cas. +Comme il n'y a que 21 valeurs dans chaque groupe, je ne peux pas appliquer le théorème central limite. Je vais donc vérifier la distribution normale de chaque groupe ainsi que l'égalité des variances pour voir quel test statistique appliqué. +Prenons comme exemple la durée de l'appel. +```{r} +shapiro.test(df$Duree_appel[df$add=="avant"]) +shapiro.test(df$Duree_appel[df$add=="après"]) +``` +Les tests de Shapiro-Wilk sont significatifs donc les distributions ne sont pas normales. +Utilisation de tests non paramétriques type Mann-Whitney : +```{r} +wilcox.test(df$Duree_appel[df$add=="avant"],df$Duree_appel[df$add=="après"]) +``` +Ah ben en fait la durée des appels a significativement augmentée après le 17 mars 2020. Je ne suis pas super fort en statistiques donc j'espère que c'est correct. Aussi, 21 échantillons par groupe c'est pas mal pour un test non paramétrique. + +Du coup on va essayer de mettre une étoile sur le plot (ce qui n'est pas compris dans les fonctions ggplot). +Pour cela on va donc tester le code d'un ami disponible sur [Github](https://github.com/EvenStar69/significativity.bar). +```{r} +#install.packages("devtools") +library(devtools) +#Besoin de Rtools 3.5 +#install_github("EvenStar69/significativity.bar/significativity.bar") +library(significativity.bar) +``` +Bon j'ai dû un peu changer sa fonction parce qu'elle n'est plus compatible avec ggplot 3.3. +J'ai changé la manière de retrouver les coordonnées y : The position of ymax in ggplot\_build(plot)\$data[[1]] changed from column 6 to 7. +Et j'ai changé la manière de retrouver l'échalle en y : panel_ranges in ggplot\_build(plot)\$layout does not exist anymore ... use panel\_scale\_y instead. +J'ai aussi dû mettre à jour R vers la version 3.6.3. +Voici le code modifié de sa fonction : +```{r} +significativity_bar <- function(plot, groups, text = "*", text_height = 0.0275, size_bar = 1, color_bar = "black", size_text = 8, color_text = "black", font_face = 1, font_style = "serif", line_type = "solid"){ + + + + if (!require("ggplot2", character.only=T, quietly=T)){ # use library ggplot + + install.packages("ggplot2") + + library(ggplot2, character.only=T) + + } + + + + if (class(plot)[1] != "gg"){ + + stop("Your input plot is not a ggplot") + + } + + if (length(groups) != 2){ + + stop("Please select only 2 groups between which you want the error bar") + + } + + if (!is.vector(groups)){ + + stop("Please input your 2 selected groups in a vector") + + } + + if (!is.character(text)) { + + stop("Please input the text above the bar as character") + + } + + if (!is.numeric(text_height) | length(text_height) > 1){ + + stop("Please input one numeric value for the text height") + + } + + if (!is.numeric(size_bar) | length(size_bar) > 1){ + + stop("Please input one numeric value for the bar size") + + } + + if (!is.character(color_bar)){ + + stop("Please input an existing R color, as a character, for the color of the bar") + + } + + if (!is.numeric(size_text) | length(size_text) > 1){ + + stop("Please input one numeric value for the text size") + + } + + if (!is.numeric(font_face) | length(font_face) > 1){ + + stop("Please input one numeric value for the font face") + + } + + if (!is.character(color_text)){ + + stop("Please input an existing R color, as a character, for the color of the text") + + } + + if (!is.character(font_style)){ + + stop("Please input an existing font family, as a character, for the color of the bar") + + } + + if (!is.character(line_type)){ + + stop("Please input an existing line style, as a character, for the color of the bar") + + } + + + + if (text_height >=1){ + + warning("text_height should be between 0 and 1, default value for * and around 0.04 for text are advised") + + } + + + + + + if (class(as.list.environment(plot$layers[[1]])$geom)[1] == "GeomPoint"){ # if the ggplot is a dotplot + + coords = ggplot_build(plot)$data[[1]] # get the coordinates of the points + + xcoords = c() + + ycoords = c() + + for (i in groups){ # get the x coordinates of all coordinates in a vector, for the 2 selected groups + + xcoord_temp = unique(coords$x)[i] + + xcoords = append(xcoords, xcoord_temp) + + } + + for (i in c(1,2)){ + + ycoord_temp = max(coords[coords$x == xcoords[i],]$y) # get the y coordinate of the upper point of each group + + ycoords = append(ycoords, ycoord_temp) + + } + + + + y_range = ggplot_build(plot)$layout$panel_scales_y[[1]]$limits # get the total height of the y scale + # panel_ranges in ggplot_build(plot)$layout does not exist anymore ... use panel_scale_y instead + + y_sum = sum(abs(y_range)) + + y_scale = (7.5/100)*y_sum # starting position of the vertical bar (determined % of the total y scale) + + bar_height = y_scale + ((5/100)*y_sum) # final position of the vertical bar (determined % of the total y scale in addition to y_scale) + + + + ycoord_top = max(ycoords) # the bar should take the heighest of the two groups as a reference + + coord_bar = data.frame(x = c(xcoords[1], xcoords[1], xcoords[2], xcoords[2]), y = c(ycoord_top + y_scale, ycoord_top + bar_height, ycoord_top + bar_height, ycoord_top + y_scale)) # final coordinates of the bar + + + + star_x = mean(xcoords) # x coordinate of the text above the bar (in the middle of the two groups) + + star_y = ycoord_top + bar_height + ((2.75/100)*y_sum) # y coordinate of the text above the bar (above the bar by a determined factor) + + coord_star = c(star_x, star_y) # x,y coordinates of the text above the bar + + + + plot = plot + geom_path(data = coord_bar, aes(x=x, y=y), size = size_bar, color = color_bar, linetype = line_type) + annotate("text", x = star_x, y = star_y, label = text, size = size_text, color = color_text, fontface = font_face, family = font_style) # create the new ggplot + + print(plot) + + + + } else if (class(as.list.environment(plot$layers[[1]])$geom)[1] == "GeomBar") { # if the ggplot is a dotplot + + coords = ggplot_build(plot)$data[[1]] + + xcoords = c() + + ycoords = c() + + for (i in groups){ # get the x and y coordinates of the two groups + + xcoord_temp = mean(c(coords[i,]$xmin, coords[i,]$xmax)) + + xcoords = append(xcoords, xcoord_temp) + + ycoord_temp = coords[i,7] # The position of ymax in ggplot_build(plot)$data[[1]] changed from column 6 to 7 + + ycoords = append(ycoords, ycoord_temp) + + } + + + + y_range = ggplot_build(plot)$layout$panel_scales_y[[1]]$limits # get the total height of the y scale + + y_sum = sum(abs(y_range)) + + y_scale = (7.5/100)*y_sum # starting position of the vertical bar (determined % of the total y scale) + + bar_height = y_scale + ((5/100)*y_sum) # final position of the vertical bar (determined % of the total y scale in addition to y_scale) + + + + ycoord_top = max(ycoords) # the bar should take the heighest of the two groups as a reference + + coord_bar = data.frame(x = c(xcoords[1], xcoords[1], xcoords[2], xcoords[2]), y = c(ycoord_top + y_scale, ycoord_top + bar_height, ycoord_top + bar_height, ycoord_top + y_scale)) # final coordinates of the bar + + + + star_x = mean(xcoords) # x coordinate of the text above the bar (in the middle of the two groups) + + star_y = ycoord_top + bar_height + (text_height*y_sum) # y coordinate of the text above the bar (above the bar by a determined factor) + + coord_star = c(star_x, star_y) # x,y coordinates of the text above the bar + + + + plot = plot + geom_path(data = coord_bar, aes(x=x, y=y), size = size_bar, color = color_bar, linetype = line_type) + annotate("text", x = star_x, y = star_y, label = text, size = size_text, color = color_text, fontface = font_face, family = font_style) # create the new ggplot + + print(plot) + + } + +} +``` + + +```{r} +gg<- ggplot(c, aes(x = c..aa....ap.., y = as.numeric(m_duree_appel)))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = m_duree_appel-sd_duree_appel, ymax = m_duree_appel+sd_duree_appel)+ + ylim(-500,5000)+ + labs(title="Duree appel") +significativity_bar(gg, groups = c(1,2)) +``` + + +### Taux de réponses + +Cette partie c'est juste pour voir si je répond autant aux messages qu'on m'en envoie. +```{r} +Ratio<-df$Messages_recus/df$Messages_envoyes +#Remplacement des NaN et inf (division par 0) en 0. +Ratio[is.na(Ratio)]<-0 +Ratio[is.infinite(Ratio)]<-0 +barplot(Ratio) +``` +```{r} +mean(Ratio) +``` +En moyenne c'est assez équilibré : je réponds autant de fois qu'on m'envoie un message. + +## Conclusion + +__J'ai passé pas mal de temps à faire ça mais ça m'a permis de bien prendre en main l'outil. +Je conçois que mon étude est assez sale et que les manières de plotter ne sont vraiment pas optimisées mais ce n'était pas vraiment le but de l'exercice.__ + +__Après avoir compilé, je n'ai pas pû le faire en pdf (des erreurs de polices qui ne passent pas avec LaTeX on dirait ...). +Aussi, j'ai remarqué qu'il fallait laissé un retour chariot après la visualisation du plot sinon le texte se met à côté dans le rendu.__ diff --git a/module2/exo4/test-notebook.knit.md b/module2/exo4/test-notebook.knit.md new file mode 100644 index 0000000..817d160 --- /dev/null +++ b/module2/exo4/test-notebook.knit.md @@ -0,0 +1,620 @@ +--- +title: "R Notebook" +output: + pdf_document: default + html_notebook: default +--- + + +## L'étude +Cette étude consiste à évaluer mon usage du téléphone depuis le 25 février 2020 pour établir un lien entre la mise en place du confinement le 17 mars 2020 et mon usage téléphonique. + +## Le fichier de données +Le fichier de données ci-après est une table représentant différents paramètres chaque jour depuis le 25/02/2020 : +- Le nombre d'appels émis : Appels\_emis +- Le nombre d'appels reçus : Appels\_recus (Comprends aussi les appels manqués) +- La durée totale des appels de la journée en seconde : Duree\_appels +- Le nombre de messages reçus : Messages\_recus +- Le nombre de messages envoyés : Messages\_envoyes + +Le fichier peut être importé comme ceci : + +```r +df<-read.csv("C:/Users/Marc/Desktop/MOOC/mooc-rr/module2/exo4/Book1.csv", sep = ";") +head(df) +``` + +``` +## ï..Date Appels_emis Appels_recus Duree_appel Messages_recus +## 1 25/02/2020 0 0 0 6 +## 2 26/02/2020 1 1 5 3 +## 3 27/02/2020 0 0 0 3 +## 4 28/02/2020 0 0 0 0 +## 5 29/02/2020 3 1 3470 1 +## 6 01/03/2020 1 1 141 15 +## Messages_envoyes +## 1 4 +## 2 4 +## 3 2 +## 4 0 +## 5 0 +## 6 7 +``` + +## L'analyse de l'usage téléphonique + +Tout d'abord on peut plotter les différents paramètres au cours du temps pour se donner un aperçu de mon usage : + +1. Les appels émis + +```r +barplot(df$Appels_emis, names.arg = df$ï..Date) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-2-1.pdf) + +Les dates sont mal positionnées mais c'est pas grave. Il semble que j'ai beaucoup appelé autour de la date du 17 mars. + +2. Appels reçus + +```r +barplot(df$Appels_recus, names.arg = df$ï..Date) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-3-1.pdf) + +Il semble que j'ai reçu beaucoup d'appels la veille du 17 mars puis que j'ai reçu + d'appels en général après cette période qu'avant. + +3. Durée appel + +```r +barplot(df$Duree_appel, names.arg = df$ï..Date) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-4-1.pdf) + +Là c'est très voyant. J'ai passé beaucoup de temps au téléphone après le 16 mars comparé à avant (sauf 2 fois). + +4. Messages reçus + +```r +barplot(df$Messages_recus, names.arg = df$ï..Date) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-5-1.pdf) + +5. Messages envoyés + +```r +barplot(df$Messages_envoyes, names.arg = df$ï..Date) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-6-1.pdf) + +Pour les messages, la tendance est inverse aux appels : je reçois et envoie - de sms depuis le 17 mars comparé à avant. +J'ai eput être changé mon usage de l'un à l'autre. +Sauf autour du 16-17 mars où j'ai beaucoup communiqué. + +### Représentation des moyennes avant et après le 17 mars +Je vais rajouté une colonne pour indiqué avant ou après le 17 mars. + +```r +add<-c(rep("avant",21), rep("après",21)) +df$add<-add +``` +Oui je sais c'est vraiment nul mais en gros je sais qu'il y a 42 lignes dans mon tableau (je peux le vérifier avec `length(df$Appels_emis)` par exemple) et que le 17 mars est la 22ème ligne. +J'ai donc ajouté 21 fois "avant" et 21 fois "après" sur une colonne dans mon data frame df. + + +Maintenant on va pouvoir calculer les moyennes des paramètres avant et après (inclus) le 17 mars 2020. + +```r +m_appels_emis<-c(mean(df$Appels_emis[df$add=="avant"]), mean(df$Appels_emis[df$add=="après"])) +m_appels_recus<-c(mean(df$Appels_recus[df$add=="avant"]), mean(df$Appels_recus[df$add=="après"])) +m_duree_appel<-c(mean(df$Duree_appel[df$add=="avant"]), mean(df$Duree_appel[df$add=="après"])) +m_messages_recus<-c(mean(df$Messages_recus[df$add=="avant"]), mean(df$Messages_recus[df$add=="après"])) +m_messages_envoyes<-c(mean(df$Messages_envoyes[df$add=="avant"]), mean(df$Messages_envoyes[df$add=="après"])) +m_appels_emis +``` + +``` +## [1] 1.142857 1.523810 +``` + +```r +m_appels_recus +``` + +``` +## [1] 0.8095238 1.1904762 +``` + +```r +m_messages_recus +``` + +``` +## [1] 6.285714 2.761905 +``` + +```r +m_messages_envoyes +``` + +``` +## [1] 5.285714 1.523810 +``` +Et les écarts-types : + +```r +sd_appels_emis<-c(sd(df$Appels_emis[df$add=="avant"]), sd(df$Appels_emis[df$add=="après"])) +sd_appels_recus<-c(sd(df$Appels_recus[df$add=="avant"]), sd(df$Appels_recus[df$add=="après"])) +sd_duree_appel<-c(sd(df$Duree_appel[df$add=="avant"]), sd(df$Duree_appel[df$add=="après"])) +sd_messages_recus<-c(sd(df$Messages_recus[df$add=="avant"]), sd(df$Messages_recus[df$add=="après"])) +sd_messages_envoyes<-c(sd(df$Messages_envoyes[df$add=="avant"]), sd(df$Messages_envoyes[df$add=="après"])) +``` + + +Maintenant on va pouvoir plotter les moyennes de tous les paramètres avant et après (inclus) le 17 mars 2020. +Le mieux c'est d'utiliser ggplot. + +```r +#install.packages("ggplot2") +library(ggplot2) +a<-data.frame(m_appels_emis, sd_appels_emis, c("aa", "ap")) +ggplot(a, aes(x = a$c..aa....ap.., y = m_appels_emis))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = a$m_appels_emis-a$sd_appels_emis, ymax = a$m_appels_emis+a$sd_appels_emis)+ + ylim(-1,4)+ + labs(title="Appels émis") +``` + +``` +## Warning: Use of `a$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. + +## Warning: Use of `a$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-10-1.pdf) + +```r +b<-data.frame(m_appels_recus, sd_appels_recus, c("aa", "ap")) +ggplot(b, aes(x = b$c..aa....ap.., y = b$m_appels_recus))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = b$m_appels_recus-b$sd_appels_recus, ymax = b$m_appels_recus+b$sd_appels_recus)+ + ylim(-1,3)+ + labs(title="Appels recus") +``` + +``` +## Warning: Use of `b$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `b$m_appels_recus` is discouraged. Use `m_appels_recus` instead. +``` + +``` +## Warning: Use of `b$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `b$m_appels_recus` is discouraged. Use `m_appels_recus` instead. +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-11-1.pdf) + +```r +c<-data.frame(m_duree_appel, sd_duree_appel, c("aa", "ap")) +ggplot(c, aes(x = c$c..aa....ap.., y = c$m_duree_appel))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = c$m_duree_appel-c$sd_duree_appel, ymax = c$m_duree_appel+c$sd_duree_appel)+ + ylim(-500,2000)+ + labs(title="Duree appel") +``` + +``` +## Warning: Use of `c$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `c$m_duree_appel` is discouraged. Use `m_duree_appel` instead. +``` + +``` +## Warning: Use of `c$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `c$m_duree_appel` is discouraged. Use `m_duree_appel` instead. +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-12-1.pdf) + +```r +d<-data.frame(m_messages_envoyes, sd_messages_envoyes, c("aa", "ap")) +ggplot(d, aes(x = d$c..aa....ap.., y = d$m_messages_envoyes))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = d$m_messages_envoyes-d$sd_messages_envoyes, ymax = d$m_messages_envoyes+d$sd_messages_envoyes)+ + ylim(0,12)+ + labs(title="Messages envoyes") +``` + +``` +## Warning: Use of `d$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `d$m_messages_envoyes` is discouraged. Use `m_messages_envoyes` +## instead. +``` + +``` +## Warning: Use of `d$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `d$m_messages_envoyes` is discouraged. Use `m_messages_envoyes` +## instead. +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-13-1.pdf) + +```r +e<-data.frame(m_messages_recus, sd_messages_recus, c("aa", "ap")) +ggplot(e, aes(x = e$c..aa....ap.., y = e$m_messages_recus))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = e$m_messages_recus-e$sd_messages_recus, ymax = e$m_messages_recus+e$sd_messages_recus)+ + ylim(-2,12)+ + labs(title="Messages recus") +``` + +``` +## Warning: Use of `e$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `e$m_messages_recus` is discouraged. Use `m_messages_recus` +## instead. +``` + +``` +## Warning: Use of `e$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `e$m_messages_recus` is discouraged. Use `m_messages_recus` +## instead. +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-14-1.pdf) + +__Bilan : On voit des augmentations dans les appels et une diminution dans les messages mais les écarts types sont énormes__ + +A mon avis, rien n'est significatif mais on peut s'entrainer sur un cas. +Comme il n'y a que 21 valeurs dans chaque groupe, je ne peux pas appliquer le théorème central limite. Je vais donc vérifier la distribution normale de chaque groupe ainsi que l'égalité des variances pour voir quel test statistique appliqué. +Prenons comme exemple la durée de l'appel. + +```r +shapiro.test(df$Duree_appel[df$add=="avant"]) +``` + +``` +## +## Shapiro-Wilk normality test +## +## data: df$Duree_appel[df$add == "avant"] +## W = 0.53087, p-value = 3.968e-07 +``` + +```r +shapiro.test(df$Duree_appel[df$add=="après"]) +``` + +``` +## +## Shapiro-Wilk normality test +## +## data: df$Duree_appel[df$add == "après"] +## W = 0.88753, p-value = 0.0202 +``` +Les tests de Shapiro-Wilk sont significatifs donc les distributions ne sont pas normales. +Utilisation de tests non paramétriques type Mann-Whitney : + +```r +wilcox.test(df$Duree_appel[df$add=="avant"],df$Duree_appel[df$add=="après"]) +``` + +``` +## Warning in wilcox.test.default(df$Duree_appel[df$add == "avant"], +## df$Duree_appel[df$add == : cannot compute exact p-value with ties +``` + +``` +## +## Wilcoxon rank sum test with continuity correction +## +## data: df$Duree_appel[df$add == "avant"] and df$Duree_appel[df$add == "après"] +## W = 140.5, p-value = 0.03965 +## alternative hypothesis: true location shift is not equal to 0 +``` +Ah ben en fait la durée des appels a significativement augmentée après le 17 mars 2020. Je ne suis pas super fort en statistiques donc j'espère que c'est correct. Aussi, 21 échantillons par groupe c'est pas mal pour un test non paramétrique. + +Du coup on va essayer de mettre une étoile sur le plot (ce qui n'est pas compris dans les fonctions ggplot). +Pour cela on va donc tester le code d'un ami disponible sur [Github](https://github.com/EvenStar69/significativity.bar). + +```r +#install.packages("devtools") +library(devtools) +``` + +``` +## Loading required package: usethis +``` + +```r +#Besoin de Rtools 3.5 +#install_github("EvenStar69/significativity.bar/significativity.bar") +library(significativity.bar) +``` +Bon j'ai dû un peu changer sa fonction parce qu'elle n'est plus compatible avec ggplot 3.3. +J'ai changé la manière de retrouver les coordonnées y : The position of ymax in ggplot\_build(plot)\$data[[1]] changed from column 6 to 7. +Et j'ai changé la manière de retrouver l'échalle en y : panel_ranges in ggplot\_build(plot)\$layout does not exist anymore ... use panel\_scale\_y instead. +J'ai aussi dû mettre à jour R vers la version 3.6.3. +Voici le code modifié de sa fonction : + +```r +significativity_bar <- function(plot, groups, text = "*", text_height = 0.0275, size_bar = 1, color_bar = "black", size_text = 8, color_text = "black", font_face = 1, font_style = "serif", line_type = "solid"){ + + + + if (!require("ggplot2", character.only=T, quietly=T)){ # use library ggplot + + install.packages("ggplot2") + + library(ggplot2, character.only=T) + + } + + + + if (class(plot)[1] != "gg"){ + + stop("Your input plot is not a ggplot") + + } + + if (length(groups) != 2){ + + stop("Please select only 2 groups between which you want the error bar") + + } + + if (!is.vector(groups)){ + + stop("Please input your 2 selected groups in a vector") + + } + + if (!is.character(text)) { + + stop("Please input the text above the bar as character") + + } + + if (!is.numeric(text_height) | length(text_height) > 1){ + + stop("Please input one numeric value for the text height") + + } + + if (!is.numeric(size_bar) | length(size_bar) > 1){ + + stop("Please input one numeric value for the bar size") + + } + + if (!is.character(color_bar)){ + + stop("Please input an existing R color, as a character, for the color of the bar") + + } + + if (!is.numeric(size_text) | length(size_text) > 1){ + + stop("Please input one numeric value for the text size") + + } + + if (!is.numeric(font_face) | length(font_face) > 1){ + + stop("Please input one numeric value for the font face") + + } + + if (!is.character(color_text)){ + + stop("Please input an existing R color, as a character, for the color of the text") + + } + + if (!is.character(font_style)){ + + stop("Please input an existing font family, as a character, for the color of the bar") + + } + + if (!is.character(line_type)){ + + stop("Please input an existing line style, as a character, for the color of the bar") + + } + + + + if (text_height >=1){ + + warning("text_height should be between 0 and 1, default value for * and around 0.04 for text are advised") + + } + + + + + + if (class(as.list.environment(plot$layers[[1]])$geom)[1] == "GeomPoint"){ # if the ggplot is a dotplot + + coords = ggplot_build(plot)$data[[1]] # get the coordinates of the points + + xcoords = c() + + ycoords = c() + + for (i in groups){ # get the x coordinates of all coordinates in a vector, for the 2 selected groups + + xcoord_temp = unique(coords$x)[i] + + xcoords = append(xcoords, xcoord_temp) + + } + + for (i in c(1,2)){ + + ycoord_temp = max(coords[coords$x == xcoords[i],]$y) # get the y coordinate of the upper point of each group + + ycoords = append(ycoords, ycoord_temp) + + } + + + + y_range = ggplot_build(plot)$layout$panel_scales_y[[1]]$limits # get the total height of the y scale + # panel_ranges in ggplot_build(plot)$layout does not exist anymore ... use panel_scale_y instead + + y_sum = sum(abs(y_range)) + + y_scale = (7.5/100)*y_sum # starting position of the vertical bar (determined % of the total y scale) + + bar_height = y_scale + ((5/100)*y_sum) # final position of the vertical bar (determined % of the total y scale in addition to y_scale) + + + + ycoord_top = max(ycoords) # the bar should take the heighest of the two groups as a reference + + coord_bar = data.frame(x = c(xcoords[1], xcoords[1], xcoords[2], xcoords[2]), y = c(ycoord_top + y_scale, ycoord_top + bar_height, ycoord_top + bar_height, ycoord_top + y_scale)) # final coordinates of the bar + + + + star_x = mean(xcoords) # x coordinate of the text above the bar (in the middle of the two groups) + + star_y = ycoord_top + bar_height + ((2.75/100)*y_sum) # y coordinate of the text above the bar (above the bar by a determined factor) + + coord_star = c(star_x, star_y) # x,y coordinates of the text above the bar + + + + plot = plot + geom_path(data = coord_bar, aes(x=x, y=y), size = size_bar, color = color_bar, linetype = line_type) + annotate("text", x = star_x, y = star_y, label = text, size = size_text, color = color_text, fontface = font_face, family = font_style) # create the new ggplot + + print(plot) + + + + } else if (class(as.list.environment(plot$layers[[1]])$geom)[1] == "GeomBar") { # if the ggplot is a dotplot + + coords = ggplot_build(plot)$data[[1]] + + xcoords = c() + + ycoords = c() + + for (i in groups){ # get the x and y coordinates of the two groups + + xcoord_temp = mean(c(coords[i,]$xmin, coords[i,]$xmax)) + + xcoords = append(xcoords, xcoord_temp) + + ycoord_temp = coords[i,7] # The position of ymax in ggplot_build(plot)$data[[1]] changed from column 6 to 7 + + ycoords = append(ycoords, ycoord_temp) + + } + + + + y_range = ggplot_build(plot)$layout$panel_scales_y[[1]]$limits # get the total height of the y scale + + y_sum = sum(abs(y_range)) + + y_scale = (7.5/100)*y_sum # starting position of the vertical bar (determined % of the total y scale) + + bar_height = y_scale + ((5/100)*y_sum) # final position of the vertical bar (determined % of the total y scale in addition to y_scale) + + + + ycoord_top = max(ycoords) # the bar should take the heighest of the two groups as a reference + + coord_bar = data.frame(x = c(xcoords[1], xcoords[1], xcoords[2], xcoords[2]), y = c(ycoord_top + y_scale, ycoord_top + bar_height, ycoord_top + bar_height, ycoord_top + y_scale)) # final coordinates of the bar + + + + star_x = mean(xcoords) # x coordinate of the text above the bar (in the middle of the two groups) + + star_y = ycoord_top + bar_height + (text_height*y_sum) # y coordinate of the text above the bar (above the bar by a determined factor) + + coord_star = c(star_x, star_y) # x,y coordinates of the text above the bar + + + + plot = plot + geom_path(data = coord_bar, aes(x=x, y=y), size = size_bar, color = color_bar, linetype = line_type) + annotate("text", x = star_x, y = star_y, label = text, size = size_text, color = color_text, fontface = font_face, family = font_style) # create the new ggplot + + print(plot) + + } + +} +``` + + + +```r +gg<- ggplot(c, aes(x = c..aa....ap.., y = as.numeric(m_duree_appel)))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = m_duree_appel-sd_duree_appel, ymax = m_duree_appel+sd_duree_appel)+ + ylim(-500,5000)+ + labs(title="Duree appel") +significativity_bar(gg, groups = c(1,2)) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-19-1.pdf) + + +### Taux de réponses + +Cette partie c'est juste pour voir si je répond autant aux messages qu'on m'en envoie. + +```r +Ratio<-df$Messages_recus/df$Messages_envoyes +#Remplacement des NaN et inf (division par 0) en 0. +Ratio[is.na(Ratio)]<-0 +Ratio[is.infinite(Ratio)]<-0 +barplot(Ratio) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-20-1.pdf) + +```r +mean(Ratio) +``` + +``` +## [1] 1.067513 +``` +En moyenne c'est assez équilibré : je réponds autant de fois qu'on m'envoie un message. + +## Conclusion + +__J'ai passé pas mal de temps à faire ça mais ça m'a permis de bien prendre en main l'outil. +Je conçois que mon étude est assez sale et que les manières de plotter ne sont vraiment pas optimisées mais ce n'était 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a/module2/exo4/test-notebook.tex b/module2/exo4/test-notebook.tex new file mode 100644 index 0000000..8fdb97a --- /dev/null +++ b/module2/exo4/test-notebook.tex @@ -0,0 +1,853 @@ +% Options for packages loaded elsewhere +\PassOptionsToPackage{unicode}{hyperref} +\PassOptionsToPackage{hyphens}{url} +% +\documentclass[ +]{article} +\usepackage{lmodern} +\usepackage{amssymb,amsmath} +\usepackage{ifxetex,ifluatex} +\ifnum 0\ifxetex 1\fi\ifluatex 1\fi=0 % if pdftex + \usepackage[T1]{fontenc} + \usepackage[utf8]{inputenc} + \usepackage{textcomp} % provide euro and other symbols +\else % if luatex or xetex + \usepackage{unicode-math} + \defaultfontfeatures{Scale=MatchLowercase} + \defaultfontfeatures[\rmfamily]{Ligatures=TeX,Scale=1} +\fi +% Use upquote if available, for straight quotes in verbatim environments +\IfFileExists{upquote.sty}{\usepackage{upquote}}{} +\IfFileExists{microtype.sty}{% use microtype if available + \usepackage[]{microtype} + \UseMicrotypeSet[protrusion]{basicmath} % disable protrusion for tt fonts +}{} +\makeatletter +\@ifundefined{KOMAClassName}{% if non-KOMA class + \IfFileExists{parskip.sty}{% + \usepackage{parskip} + }{% else + \setlength{\parindent}{0pt} + \setlength{\parskip}{6pt plus 2pt minus 1pt}} +}{% if KOMA class + \KOMAoptions{parskip=half}} +\makeatother +\usepackage{xcolor} +\IfFileExists{xurl.sty}{\usepackage{xurl}}{} % add URL line breaks if available +\IfFileExists{bookmark.sty}{\usepackage{bookmark}}{\usepackage{hyperref}} +\hypersetup{ + pdftitle={R Notebook}, + hidelinks, + pdfcreator={LaTeX via pandoc}} +\urlstyle{same} % disable monospaced font for URLs +\usepackage[margin=1in]{geometry} +\usepackage{color} +\usepackage{fancyvrb} +\newcommand{\VerbBar}{|} +\newcommand{\VERB}{\Verb[commandchars=\\\{\}]} +\DefineVerbatimEnvironment{Highlighting}{Verbatim}{commandchars=\\\{\}} +% Add ',fontsize=\small' for more characters per line +\usepackage{framed} +\definecolor{shadecolor}{RGB}{248,248,248} +\newenvironment{Shaded}{\begin{snugshade}}{\end{snugshade}} +\newcommand{\AlertTok}[1]{\textcolor[rgb]{0.94,0.16,0.16}{#1}} +\newcommand{\AnnotationTok}[1]{\textcolor[rgb]{0.56,0.35,0.01}{\textbf{\textit{#1}}}} +\newcommand{\AttributeTok}[1]{\textcolor[rgb]{0.77,0.63,0.00}{#1}} +\newcommand{\BaseNTok}[1]{\textcolor[rgb]{0.00,0.00,0.81}{#1}} +\newcommand{\BuiltInTok}[1]{#1} +\newcommand{\CharTok}[1]{\textcolor[rgb]{0.31,0.60,0.02}{#1}} +\newcommand{\CommentTok}[1]{\textcolor[rgb]{0.56,0.35,0.01}{\textit{#1}}} +\newcommand{\CommentVarTok}[1]{\textcolor[rgb]{0.56,0.35,0.01}{\textbf{\textit{#1}}}} +\newcommand{\ConstantTok}[1]{\textcolor[rgb]{0.00,0.00,0.00}{#1}} +\newcommand{\ControlFlowTok}[1]{\textcolor[rgb]{0.13,0.29,0.53}{\textbf{#1}}} +\newcommand{\DataTypeTok}[1]{\textcolor[rgb]{0.13,0.29,0.53}{#1}} +\newcommand{\DecValTok}[1]{\textcolor[rgb]{0.00,0.00,0.81}{#1}} +\newcommand{\DocumentationTok}[1]{\textcolor[rgb]{0.56,0.35,0.01}{\textbf{\textit{#1}}}} +\newcommand{\ErrorTok}[1]{\textcolor[rgb]{0.64,0.00,0.00}{\textbf{#1}}} +\newcommand{\ExtensionTok}[1]{#1} +\newcommand{\FloatTok}[1]{\textcolor[rgb]{0.00,0.00,0.81}{#1}} +\newcommand{\FunctionTok}[1]{\textcolor[rgb]{0.00,0.00,0.00}{#1}} +\newcommand{\ImportTok}[1]{#1} +\newcommand{\InformationTok}[1]{\textcolor[rgb]{0.56,0.35,0.01}{\textbf{\textit{#1}}}} +\newcommand{\KeywordTok}[1]{\textcolor[rgb]{0.13,0.29,0.53}{\textbf{#1}}} +\newcommand{\NormalTok}[1]{#1} +\newcommand{\OperatorTok}[1]{\textcolor[rgb]{0.81,0.36,0.00}{\textbf{#1}}} +\newcommand{\OtherTok}[1]{\textcolor[rgb]{0.56,0.35,0.01}{#1}} +\newcommand{\PreprocessorTok}[1]{\textcolor[rgb]{0.56,0.35,0.01}{\textit{#1}}} +\newcommand{\RegionMarkerTok}[1]{#1} +\newcommand{\SpecialCharTok}[1]{\textcolor[rgb]{0.00,0.00,0.00}{#1}} +\newcommand{\SpecialStringTok}[1]{\textcolor[rgb]{0.31,0.60,0.02}{#1}} +\newcommand{\StringTok}[1]{\textcolor[rgb]{0.31,0.60,0.02}{#1}} +\newcommand{\VariableTok}[1]{\textcolor[rgb]{0.00,0.00,0.00}{#1}} +\newcommand{\VerbatimStringTok}[1]{\textcolor[rgb]{0.31,0.60,0.02}{#1}} +\newcommand{\WarningTok}[1]{\textcolor[rgb]{0.56,0.35,0.01}{\textbf{\textit{#1}}}} +\usepackage{graphicx} +\makeatletter +\def\maxwidth{\ifdim\Gin@nat@width>\linewidth\linewidth\else\Gin@nat@width\fi} +\def\maxheight{\ifdim\Gin@nat@height>\textheight\textheight\else\Gin@nat@height\fi} +\makeatother +% Scale images if necessary, so that they will not overflow the page +% margins by default, and it is still possible to overwrite the defaults +% using explicit options in \includegraphics[width, height, ...]{} +\setkeys{Gin}{width=\maxwidth,height=\maxheight,keepaspectratio} +% Set default figure placement to htbp +\makeatletter +\def\fps@figure{htbp} +\makeatother +\setlength{\emergencystretch}{3em} % prevent overfull lines +\providecommand{\tightlist}{% + \setlength{\itemsep}{0pt}\setlength{\parskip}{0pt}} +\setcounter{secnumdepth}{-\maxdimen} % remove section numbering + +\title{R Notebook} +\author{} +\date{} + +\begin{document} +\maketitle + +\hypertarget{luxe9tude}{% +\subsection{L'étude}\label{luxe9tude}} + +Cette étude consiste à évaluer mon usage du téléphone depuis le 25 +février 2020 pour établir un lien entre la mise en place du confinement +le 17 mars 2020 et mon usage téléphonique. + +\hypertarget{le-fichier-de-donnuxe9es}{% +\subsection{Le fichier de données}\label{le-fichier-de-donnuxe9es}} + +Le fichier de données ci-après est une table représentant différents +paramètres chaque jour depuis le 25/02/2020 :\\ +- Le nombre d'appels émis : Appels\_emis\\ +- Le nombre d'appels reçus : Appels\_recus (Comprends aussi les appels +manqués)\\ +- La durée totale des appels de la journée en seconde : Duree\_appels\\ +- Le nombre de messages reçus : Messages\_recus\\ +- Le nombre de messages envoyés : Messages\_envoyes + +Le fichier peut être importé comme ceci : + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{df\textless{}{-}}\KeywordTok{read.csv}\NormalTok{(}\StringTok{"C:/Users/Marc/Desktop/MOOC/mooc{-}rr/module2/exo4/Book1.csv"}\NormalTok{, }\DataTypeTok{sep =} \StringTok{";"}\NormalTok{)} +\KeywordTok{head}\NormalTok{(df)} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## ï..Date Appels_emis Appels_recus Duree_appel Messages_recus +## 1 25/02/2020 0 0 0 6 +## 2 26/02/2020 1 1 5 3 +## 3 27/02/2020 0 0 0 3 +## 4 28/02/2020 0 0 0 0 +## 5 29/02/2020 3 1 3470 1 +## 6 01/03/2020 1 1 141 15 +## Messages_envoyes +## 1 4 +## 2 4 +## 3 2 +## 4 0 +## 5 0 +## 6 7 +\end{verbatim} + +\hypertarget{lanalyse-de-lusage-tuxe9luxe9phonique}{% +\subsection{L'analyse de l'usage +téléphonique}\label{lanalyse-de-lusage-tuxe9luxe9phonique}} + +Tout d'abord on peut plotter les différents paramètres au cours du temps +pour se donner un aperçu de mon usage : + +\begin{enumerate} +\def\labelenumi{\arabic{enumi}.} +\tightlist +\item + Les appels émis +\end{enumerate} + +\begin{Shaded} +\begin{Highlighting}[] +\KeywordTok{barplot}\NormalTok{(df}\OperatorTok{$}\NormalTok{Appels\_emis, }\DataTypeTok{names.arg =}\NormalTok{ df}\OperatorTok{$}\NormalTok{ï..Date)} +\end{Highlighting} +\end{Shaded} + +\includegraphics{test-notebook_files/figure-latex/unnamed-chunk-2-1.pdf} + +Les dates sont mal positionnées mais c'est pas grave. Il semble que j'ai +beaucoup appelé autour de la date du 17 mars. + +\begin{enumerate} +\def\labelenumi{\arabic{enumi}.} +\setcounter{enumi}{1} +\tightlist +\item + Appels reçus +\end{enumerate} + +\begin{Shaded} +\begin{Highlighting}[] +\KeywordTok{barplot}\NormalTok{(df}\OperatorTok{$}\NormalTok{Appels\_recus, }\DataTypeTok{names.arg =}\NormalTok{ df}\OperatorTok{$}\NormalTok{ï..Date)} +\end{Highlighting} +\end{Shaded} + +\includegraphics{test-notebook_files/figure-latex/unnamed-chunk-3-1.pdf} + +Il semble que j'ai reçu beaucoup d'appels la veille du 17 mars puis que +j'ai reçu + d'appels en général après cette période qu'avant. + +\begin{enumerate} +\def\labelenumi{\arabic{enumi}.} +\setcounter{enumi}{2} +\tightlist +\item + Durée appel +\end{enumerate} + +\begin{Shaded} +\begin{Highlighting}[] +\KeywordTok{barplot}\NormalTok{(df}\OperatorTok{$}\NormalTok{Duree\_appel, }\DataTypeTok{names.arg =}\NormalTok{ df}\OperatorTok{$}\NormalTok{ï..Date)} +\end{Highlighting} +\end{Shaded} + +\includegraphics{test-notebook_files/figure-latex/unnamed-chunk-4-1.pdf} + +Là c'est très voyant. J'ai passé beaucoup de temps au téléphone après le +16 mars comparé à avant (sauf 2 fois). + +\begin{enumerate} +\def\labelenumi{\arabic{enumi}.} +\setcounter{enumi}{3} +\tightlist +\item + Messages reçus +\end{enumerate} + +\begin{Shaded} +\begin{Highlighting}[] +\KeywordTok{barplot}\NormalTok{(df}\OperatorTok{$}\NormalTok{Messages\_recus, }\DataTypeTok{names.arg =}\NormalTok{ df}\OperatorTok{$}\NormalTok{ï..Date)} +\end{Highlighting} +\end{Shaded} + +\includegraphics{test-notebook_files/figure-latex/unnamed-chunk-5-1.pdf} + +\begin{enumerate} +\def\labelenumi{\arabic{enumi}.} +\setcounter{enumi}{4} +\tightlist +\item + Messages envoyés +\end{enumerate} + +\begin{Shaded} +\begin{Highlighting}[] +\KeywordTok{barplot}\NormalTok{(df}\OperatorTok{$}\NormalTok{Messages\_envoyes, }\DataTypeTok{names.arg =}\NormalTok{ df}\OperatorTok{$}\NormalTok{ï..Date)} +\end{Highlighting} +\end{Shaded} + +\includegraphics{test-notebook_files/figure-latex/unnamed-chunk-6-1.pdf} + +Pour les messages, la tendance est inverse aux appels : je reçois et +envoie - de sms depuis le 17 mars comparé à avant.\\ +J'ai eput être changé mon usage de l'un à l'autre.\\ +Sauf autour du 16-17 mars où j'ai beaucoup communiqué. + +\hypertarget{repruxe9sentation-des-moyennes-avant-et-apruxe8s-le-17-mars}{% +\subsubsection{Représentation des moyennes avant et après le 17 +mars}\label{repruxe9sentation-des-moyennes-avant-et-apruxe8s-le-17-mars}} + +Je vais rajouté une colonne pour indiqué avant ou après le 17 mars. + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{add\textless{}{-}}\KeywordTok{c}\NormalTok{(}\KeywordTok{rep}\NormalTok{(}\StringTok{"avant"}\NormalTok{,}\DecValTok{21}\NormalTok{), }\KeywordTok{rep}\NormalTok{(}\StringTok{"après"}\NormalTok{,}\DecValTok{21}\NormalTok{))} +\NormalTok{df}\OperatorTok{$}\NormalTok{add\textless{}{-}add} +\end{Highlighting} +\end{Shaded} + +Oui je sais c'est vraiment nul mais en gros je sais qu'il y a 42 lignes +dans mon tableau (je peux le vérifier avec +\texttt{length(df\$Appels\_emis)} par exemple) et que le 17 mars est la +22ème ligne.\\ +J'ai donc ajouté 21 fois ``avant'' et 21 fois ``après'' sur une colonne +dans mon data frame df. + +Maintenant on va pouvoir calculer les moyennes des paramètres avant et +après (inclus) le 17 mars 2020. + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{m\_appels\_emis\textless{}{-}}\KeywordTok{c}\NormalTok{(}\KeywordTok{mean}\NormalTok{(df}\OperatorTok{$}\NormalTok{Appels\_emis[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"avant"}\NormalTok{]), }\KeywordTok{mean}\NormalTok{(df}\OperatorTok{$}\NormalTok{Appels\_emis[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"après"}\NormalTok{]))} +\NormalTok{m\_appels\_recus\textless{}{-}}\KeywordTok{c}\NormalTok{(}\KeywordTok{mean}\NormalTok{(df}\OperatorTok{$}\NormalTok{Appels\_recus[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"avant"}\NormalTok{]), }\KeywordTok{mean}\NormalTok{(df}\OperatorTok{$}\NormalTok{Appels\_recus[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"après"}\NormalTok{]))} +\NormalTok{m\_duree\_appel\textless{}{-}}\KeywordTok{c}\NormalTok{(}\KeywordTok{mean}\NormalTok{(df}\OperatorTok{$}\NormalTok{Duree\_appel[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"avant"}\NormalTok{]), }\KeywordTok{mean}\NormalTok{(df}\OperatorTok{$}\NormalTok{Duree\_appel[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"après"}\NormalTok{]))} +\NormalTok{m\_messages\_recus\textless{}{-}}\KeywordTok{c}\NormalTok{(}\KeywordTok{mean}\NormalTok{(df}\OperatorTok{$}\NormalTok{Messages\_recus[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"avant"}\NormalTok{]), }\KeywordTok{mean}\NormalTok{(df}\OperatorTok{$}\NormalTok{Messages\_recus[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"après"}\NormalTok{]))} +\NormalTok{m\_messages\_envoyes\textless{}{-}}\KeywordTok{c}\NormalTok{(}\KeywordTok{mean}\NormalTok{(df}\OperatorTok{$}\NormalTok{Messages\_envoyes[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"avant"}\NormalTok{]), }\KeywordTok{mean}\NormalTok{(df}\OperatorTok{$}\NormalTok{Messages\_envoyes[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"après"}\NormalTok{]))} +\NormalTok{m\_appels\_emis} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## [1] 1.142857 1.523810 +\end{verbatim} + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{m\_appels\_recus} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## [1] 0.8095238 1.1904762 +\end{verbatim} + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{m\_messages\_recus} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## [1] 6.285714 2.761905 +\end{verbatim} + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{m\_messages\_envoyes} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## [1] 5.285714 1.523810 +\end{verbatim} + +Et les écarts-types : + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{sd\_appels\_emis\textless{}{-}}\KeywordTok{c}\NormalTok{(}\KeywordTok{sd}\NormalTok{(df}\OperatorTok{$}\NormalTok{Appels\_emis[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"avant"}\NormalTok{]), }\KeywordTok{sd}\NormalTok{(df}\OperatorTok{$}\NormalTok{Appels\_emis[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"après"}\NormalTok{]))} +\NormalTok{sd\_appels\_recus\textless{}{-}}\KeywordTok{c}\NormalTok{(}\KeywordTok{sd}\NormalTok{(df}\OperatorTok{$}\NormalTok{Appels\_recus[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"avant"}\NormalTok{]), }\KeywordTok{sd}\NormalTok{(df}\OperatorTok{$}\NormalTok{Appels\_recus[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"après"}\NormalTok{]))} +\NormalTok{sd\_duree\_appel\textless{}{-}}\KeywordTok{c}\NormalTok{(}\KeywordTok{sd}\NormalTok{(df}\OperatorTok{$}\NormalTok{Duree\_appel[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"avant"}\NormalTok{]), }\KeywordTok{sd}\NormalTok{(df}\OperatorTok{$}\NormalTok{Duree\_appel[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"après"}\NormalTok{]))} +\NormalTok{sd\_messages\_recus\textless{}{-}}\KeywordTok{c}\NormalTok{(}\KeywordTok{sd}\NormalTok{(df}\OperatorTok{$}\NormalTok{Messages\_recus[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"avant"}\NormalTok{]), }\KeywordTok{sd}\NormalTok{(df}\OperatorTok{$}\NormalTok{Messages\_recus[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"après"}\NormalTok{]))} +\NormalTok{sd\_messages\_envoyes\textless{}{-}}\KeywordTok{c}\NormalTok{(}\KeywordTok{sd}\NormalTok{(df}\OperatorTok{$}\NormalTok{Messages\_envoyes[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"avant"}\NormalTok{]), }\KeywordTok{sd}\NormalTok{(df}\OperatorTok{$}\NormalTok{Messages\_envoyes[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"après"}\NormalTok{]))} +\end{Highlighting} +\end{Shaded} + +Maintenant on va pouvoir plotter les moyennes de tous les paramètres +avant et après (inclus) le 17 mars 2020.\\ +Le mieux c'est d'utiliser ggplot. + +\begin{Shaded} +\begin{Highlighting}[] +\CommentTok{\#install.packages("ggplot2")} +\KeywordTok{library}\NormalTok{(ggplot2)} +\NormalTok{a\textless{}{-}}\KeywordTok{data.frame}\NormalTok{(m\_appels\_emis, sd\_appels\_emis, }\KeywordTok{c}\NormalTok{(}\StringTok{"aa"}\NormalTok{, }\StringTok{"ap"}\NormalTok{))} +\KeywordTok{ggplot}\NormalTok{(a, }\KeywordTok{aes}\NormalTok{(}\DataTypeTok{x =}\NormalTok{ a}\OperatorTok{$}\NormalTok{c..aa....ap.., }\DataTypeTok{y =}\NormalTok{ m\_appels\_emis))}\OperatorTok{+} +\StringTok{ }\KeywordTok{geom\_bar}\NormalTok{(}\DataTypeTok{stat =} \StringTok{"identity"}\NormalTok{)}\OperatorTok{+} +\StringTok{ }\KeywordTok{geom\_errorbar}\NormalTok{(}\DataTypeTok{ymin =}\NormalTok{ a}\OperatorTok{$}\NormalTok{m\_appels\_emis}\OperatorTok{{-}}\NormalTok{a}\OperatorTok{$}\NormalTok{sd\_appels\_emis, }\DataTypeTok{ymax =}\NormalTok{ a}\OperatorTok{$}\NormalTok{m\_appels\_emis}\OperatorTok{+}\NormalTok{a}\OperatorTok{$}\NormalTok{sd\_appels\_emis)}\OperatorTok{+}\StringTok{ } +\StringTok{ }\KeywordTok{ylim}\NormalTok{(}\OperatorTok{{-}}\DecValTok{1}\NormalTok{,}\DecValTok{4}\NormalTok{)}\OperatorTok{+} +\StringTok{ }\KeywordTok{labs}\NormalTok{(}\DataTypeTok{title=}\StringTok{"Appels émis"}\NormalTok{)} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## Warning: Use of `a$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. + +## Warning: Use of `a$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +\end{verbatim} + +\includegraphics{test-notebook_files/figure-latex/unnamed-chunk-10-1.pdf} + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{b\textless{}{-}}\KeywordTok{data.frame}\NormalTok{(m\_appels\_recus, sd\_appels\_recus, }\KeywordTok{c}\NormalTok{(}\StringTok{"aa"}\NormalTok{, }\StringTok{"ap"}\NormalTok{))} +\KeywordTok{ggplot}\NormalTok{(b, }\KeywordTok{aes}\NormalTok{(}\DataTypeTok{x =}\NormalTok{ b}\OperatorTok{$}\NormalTok{c..aa....ap.., }\DataTypeTok{y =}\NormalTok{ b}\OperatorTok{$}\NormalTok{m\_appels\_recus))}\OperatorTok{+} +\StringTok{ }\KeywordTok{geom\_bar}\NormalTok{(}\DataTypeTok{stat =} \StringTok{"identity"}\NormalTok{)}\OperatorTok{+} +\StringTok{ }\KeywordTok{geom\_errorbar}\NormalTok{(}\DataTypeTok{ymin =}\NormalTok{ b}\OperatorTok{$}\NormalTok{m\_appels\_recus}\OperatorTok{{-}}\NormalTok{b}\OperatorTok{$}\NormalTok{sd\_appels\_recus, }\DataTypeTok{ymax =}\NormalTok{ b}\OperatorTok{$}\NormalTok{m\_appels\_recus}\OperatorTok{+}\NormalTok{b}\OperatorTok{$}\NormalTok{sd\_appels\_recus)}\OperatorTok{+}\StringTok{ } +\StringTok{ }\KeywordTok{ylim}\NormalTok{(}\OperatorTok{{-}}\DecValTok{1}\NormalTok{,}\DecValTok{3}\NormalTok{)}\OperatorTok{+} +\StringTok{ }\KeywordTok{labs}\NormalTok{(}\DataTypeTok{title=}\StringTok{"Appels recus"}\NormalTok{)} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## Warning: Use of `b$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +\end{verbatim} + +\begin{verbatim} +## Warning: Use of `b$m_appels_recus` is discouraged. Use `m_appels_recus` instead. +\end{verbatim} + +\begin{verbatim} +## Warning: Use of `b$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +\end{verbatim} + +\begin{verbatim} +## Warning: Use of `b$m_appels_recus` is discouraged. Use `m_appels_recus` instead. +\end{verbatim} + +\includegraphics{test-notebook_files/figure-latex/unnamed-chunk-11-1.pdf} + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{c\textless{}{-}}\KeywordTok{data.frame}\NormalTok{(m\_duree\_appel, sd\_duree\_appel, }\KeywordTok{c}\NormalTok{(}\StringTok{"aa"}\NormalTok{, }\StringTok{"ap"}\NormalTok{))} +\KeywordTok{ggplot}\NormalTok{(c, }\KeywordTok{aes}\NormalTok{(}\DataTypeTok{x =}\NormalTok{ c}\OperatorTok{$}\NormalTok{c..aa....ap.., }\DataTypeTok{y =}\NormalTok{ c}\OperatorTok{$}\NormalTok{m\_duree\_appel))}\OperatorTok{+} +\StringTok{ }\KeywordTok{geom\_bar}\NormalTok{(}\DataTypeTok{stat =} \StringTok{"identity"}\NormalTok{)}\OperatorTok{+} +\StringTok{ }\KeywordTok{geom\_errorbar}\NormalTok{(}\DataTypeTok{ymin =}\NormalTok{ c}\OperatorTok{$}\NormalTok{m\_duree\_appel}\OperatorTok{{-}}\NormalTok{c}\OperatorTok{$}\NormalTok{sd\_duree\_appel, }\DataTypeTok{ymax =}\NormalTok{ c}\OperatorTok{$}\NormalTok{m\_duree\_appel}\OperatorTok{+}\NormalTok{c}\OperatorTok{$}\NormalTok{sd\_duree\_appel)}\OperatorTok{+}\StringTok{ } +\StringTok{ }\KeywordTok{ylim}\NormalTok{(}\OperatorTok{{-}}\DecValTok{500}\NormalTok{,}\DecValTok{2000}\NormalTok{)}\OperatorTok{+} +\StringTok{ }\KeywordTok{labs}\NormalTok{(}\DataTypeTok{title=}\StringTok{"Duree appel"}\NormalTok{)} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## Warning: Use of `c$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +\end{verbatim} + +\begin{verbatim} +## Warning: Use of `c$m_duree_appel` is discouraged. Use `m_duree_appel` instead. +\end{verbatim} + +\begin{verbatim} +## Warning: Use of `c$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +\end{verbatim} + +\begin{verbatim} +## Warning: Use of `c$m_duree_appel` is discouraged. Use `m_duree_appel` instead. +\end{verbatim} + +\includegraphics{test-notebook_files/figure-latex/unnamed-chunk-12-1.pdf} + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{d\textless{}{-}}\KeywordTok{data.frame}\NormalTok{(m\_messages\_envoyes, sd\_messages\_envoyes, }\KeywordTok{c}\NormalTok{(}\StringTok{"aa"}\NormalTok{, }\StringTok{"ap"}\NormalTok{))} +\KeywordTok{ggplot}\NormalTok{(d, }\KeywordTok{aes}\NormalTok{(}\DataTypeTok{x =}\NormalTok{ d}\OperatorTok{$}\NormalTok{c..aa....ap.., }\DataTypeTok{y =}\NormalTok{ d}\OperatorTok{$}\NormalTok{m\_messages\_envoyes))}\OperatorTok{+} +\StringTok{ }\KeywordTok{geom\_bar}\NormalTok{(}\DataTypeTok{stat =} \StringTok{"identity"}\NormalTok{)}\OperatorTok{+} +\StringTok{ }\KeywordTok{geom\_errorbar}\NormalTok{(}\DataTypeTok{ymin =}\NormalTok{ d}\OperatorTok{$}\NormalTok{m\_messages\_envoyes}\OperatorTok{{-}}\NormalTok{d}\OperatorTok{$}\NormalTok{sd\_messages\_envoyes, }\DataTypeTok{ymax =}\NormalTok{ d}\OperatorTok{$}\NormalTok{m\_messages\_envoyes}\OperatorTok{+}\NormalTok{d}\OperatorTok{$}\NormalTok{sd\_messages\_envoyes)}\OperatorTok{+}\StringTok{ } +\StringTok{ }\KeywordTok{ylim}\NormalTok{(}\DecValTok{0}\NormalTok{,}\DecValTok{12}\NormalTok{)}\OperatorTok{+} +\StringTok{ }\KeywordTok{labs}\NormalTok{(}\DataTypeTok{title=}\StringTok{"Messages envoyes"}\NormalTok{)} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## Warning: Use of `d$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +\end{verbatim} + +\begin{verbatim} +## Warning: Use of `d$m_messages_envoyes` is discouraged. Use `m_messages_envoyes` +## instead. +\end{verbatim} + +\begin{verbatim} +## Warning: Use of `d$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +\end{verbatim} + +\begin{verbatim} +## Warning: Use of `d$m_messages_envoyes` is discouraged. Use `m_messages_envoyes` +## instead. +\end{verbatim} + +\includegraphics{test-notebook_files/figure-latex/unnamed-chunk-13-1.pdf} + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{e\textless{}{-}}\KeywordTok{data.frame}\NormalTok{(m\_messages\_recus, sd\_messages\_recus, }\KeywordTok{c}\NormalTok{(}\StringTok{"aa"}\NormalTok{, }\StringTok{"ap"}\NormalTok{))} +\KeywordTok{ggplot}\NormalTok{(e, }\KeywordTok{aes}\NormalTok{(}\DataTypeTok{x =}\NormalTok{ e}\OperatorTok{$}\NormalTok{c..aa....ap.., }\DataTypeTok{y =}\NormalTok{ e}\OperatorTok{$}\NormalTok{m\_messages\_recus))}\OperatorTok{+} +\StringTok{ }\KeywordTok{geom\_bar}\NormalTok{(}\DataTypeTok{stat =} \StringTok{"identity"}\NormalTok{)}\OperatorTok{+} +\StringTok{ }\KeywordTok{geom\_errorbar}\NormalTok{(}\DataTypeTok{ymin =}\NormalTok{ e}\OperatorTok{$}\NormalTok{m\_messages\_recus}\OperatorTok{{-}}\NormalTok{e}\OperatorTok{$}\NormalTok{sd\_messages\_recus, }\DataTypeTok{ymax =}\NormalTok{ e}\OperatorTok{$}\NormalTok{m\_messages\_recus}\OperatorTok{+}\NormalTok{e}\OperatorTok{$}\NormalTok{sd\_messages\_recus)}\OperatorTok{+}\StringTok{ } +\StringTok{ }\KeywordTok{ylim}\NormalTok{(}\OperatorTok{{-}}\DecValTok{2}\NormalTok{,}\DecValTok{12}\NormalTok{)}\OperatorTok{+} +\StringTok{ }\KeywordTok{labs}\NormalTok{(}\DataTypeTok{title=}\StringTok{"Messages recus"}\NormalTok{)} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## Warning: Use of `e$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +\end{verbatim} + +\begin{verbatim} +## Warning: Use of `e$m_messages_recus` is discouraged. Use `m_messages_recus` +## instead. +\end{verbatim} + +\begin{verbatim} +## Warning: Use of `e$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +\end{verbatim} + +\begin{verbatim} +## Warning: Use of `e$m_messages_recus` is discouraged. Use `m_messages_recus` +## instead. +\end{verbatim} + +\includegraphics{test-notebook_files/figure-latex/unnamed-chunk-14-1.pdf} + +\textbf{Bilan : On voit des augmentations dans les appels et une +diminution dans les messages mais les écarts types sont énormes} + +A mon avis, rien n'est significatif mais on peut s'entrainer sur un +cas.\\ +Comme il n'y a que 21 valeurs dans chaque groupe, je ne peux pas +appliquer le théorème central limite. Je vais donc vérifier la +distribution normale de chaque groupe ainsi que l'égalité des variances +pour voir quel test statistique appliqué.\\ +Prenons comme exemple la durée de l'appel. + +\begin{Shaded} +\begin{Highlighting}[] +\KeywordTok{shapiro.test}\NormalTok{(df}\OperatorTok{$}\NormalTok{Duree\_appel[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"avant"}\NormalTok{])} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## +## Shapiro-Wilk normality test +## +## data: df$Duree_appel[df$add == "avant"] +## W = 0.53087, p-value = 3.968e-07 +\end{verbatim} + +\begin{Shaded} +\begin{Highlighting}[] +\KeywordTok{shapiro.test}\NormalTok{(df}\OperatorTok{$}\NormalTok{Duree\_appel[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"après"}\NormalTok{])} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## +## Shapiro-Wilk normality test +## +## data: df$Duree_appel[df$add == "après"] +## W = 0.88753, p-value = 0.0202 +\end{verbatim} + +Les tests de Shapiro-Wilk sont significatifs donc les distributions ne +sont pas normales.\\ +Utilisation de tests non paramétriques type Mann-Whitney : + +\begin{Shaded} +\begin{Highlighting}[] +\KeywordTok{wilcox.test}\NormalTok{(df}\OperatorTok{$}\NormalTok{Duree\_appel[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"avant"}\NormalTok{],df}\OperatorTok{$}\NormalTok{Duree\_appel[df}\OperatorTok{$}\NormalTok{add}\OperatorTok{==}\StringTok{"après"}\NormalTok{])} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## Warning in wilcox.test.default(df$Duree_appel[df$add == "avant"], +## df$Duree_appel[df$add == : cannot compute exact p-value with ties +\end{verbatim} + +\begin{verbatim} +## +## Wilcoxon rank sum test with continuity correction +## +## data: df$Duree_appel[df$add == "avant"] and df$Duree_appel[df$add == "après"] +## W = 140.5, p-value = 0.03965 +## alternative hypothesis: true location shift is not equal to 0 +\end{verbatim} + +Ah ben en fait la durée des appels a significativement augmentée après +le 17 mars 2020. Je ne suis pas super fort en statistiques donc j'espère +que c'est correct. Aussi, 21 échantillons par groupe c'est pas mal pour +un test non paramétrique. + +Du coup on va essayer de mettre une étoile sur le plot (ce qui n'est pas +compris dans les fonctions ggplot).\\ +Pour cela on va donc tester le code d'un ami disponible sur +\href{https://github.com/EvenStar69/significativity.bar}{Github}. + +\begin{Shaded} +\begin{Highlighting}[] +\CommentTok{\#install.packages("devtools")} +\KeywordTok{library}\NormalTok{(devtools)} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## Loading required package: usethis +\end{verbatim} + +\begin{Shaded} +\begin{Highlighting}[] +\CommentTok{\#Besoin de Rtools 3.5} +\CommentTok{\#install\_github("EvenStar69/significativity.bar/significativity.bar")} +\KeywordTok{library}\NormalTok{(significativity.bar)} +\end{Highlighting} +\end{Shaded} + +Bon j'ai dû un peu changer sa fonction parce qu'elle n'est plus +compatible avec ggplot 3.3.\\ +J'ai changé la manière de retrouver les coordonnées y : The position of +ymax in ggplot\_build(plot)\$data{[}{[}1{]}{]} changed from column 6 to +7.\\ +Et j'ai changé la manière de retrouver l'échalle en y : panel\_ranges in +ggplot\_build(plot)\$layout does not exist anymore \ldots{} use +panel\_scale\_y instead.\\ +J'ai aussi dû mettre à jour R vers la version 3.6.3.\\ +Voici le code modifié de sa fonction : + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{significativity\_bar \textless{}{-}}\StringTok{ }\ControlFlowTok{function}\NormalTok{(plot, groups, }\DataTypeTok{text =} \StringTok{"*"}\NormalTok{, }\DataTypeTok{text\_height =} \FloatTok{0.0275}\NormalTok{, }\DataTypeTok{size\_bar =} \DecValTok{1}\NormalTok{, }\DataTypeTok{color\_bar =} \StringTok{"black"}\NormalTok{, }\DataTypeTok{size\_text =} \DecValTok{8}\NormalTok{, }\DataTypeTok{color\_text =} \StringTok{"black"}\NormalTok{, }\DataTypeTok{font\_face =} \DecValTok{1}\NormalTok{, }\DataTypeTok{font\_style =} \StringTok{"serif"}\NormalTok{, }\DataTypeTok{line\_type =} \StringTok{"solid"}\NormalTok{)\{} + + + + \ControlFlowTok{if}\NormalTok{ (}\OperatorTok{!}\KeywordTok{require}\NormalTok{(}\StringTok{"ggplot2"}\NormalTok{, }\DataTypeTok{character.only=}\NormalTok{T, }\DataTypeTok{quietly=}\NormalTok{T))\{ }\CommentTok{\# use library ggplot} + + \KeywordTok{install.packages}\NormalTok{(}\StringTok{"ggplot2"}\NormalTok{)} + + \KeywordTok{library}\NormalTok{(ggplot2, }\DataTypeTok{character.only=}\NormalTok{T)} + +\NormalTok{ \}} + + + + \ControlFlowTok{if}\NormalTok{ (}\KeywordTok{class}\NormalTok{(plot)[}\DecValTok{1}\NormalTok{] }\OperatorTok{!=}\StringTok{ "gg"}\NormalTok{)\{} + + \KeywordTok{stop}\NormalTok{(}\StringTok{"Your input plot is not a ggplot"}\NormalTok{)} + +\NormalTok{ \}} + + \ControlFlowTok{if}\NormalTok{ (}\KeywordTok{length}\NormalTok{(groups) }\OperatorTok{!=}\StringTok{ }\DecValTok{2}\NormalTok{)\{} + + \KeywordTok{stop}\NormalTok{(}\StringTok{"Please select only 2 groups between which you want the error bar"}\NormalTok{)} + +\NormalTok{ \}} + + \ControlFlowTok{if}\NormalTok{ (}\OperatorTok{!}\KeywordTok{is.vector}\NormalTok{(groups))\{} + + \KeywordTok{stop}\NormalTok{(}\StringTok{"Please input your 2 selected groups in a vector"}\NormalTok{)} + +\NormalTok{ \}} + + \ControlFlowTok{if}\NormalTok{ (}\OperatorTok{!}\KeywordTok{is.character}\NormalTok{(text)) \{} + + \KeywordTok{stop}\NormalTok{(}\StringTok{"Please input the text above the bar as character"}\NormalTok{)} + +\NormalTok{ \}} + + \ControlFlowTok{if}\NormalTok{ (}\OperatorTok{!}\KeywordTok{is.numeric}\NormalTok{(text\_height) }\OperatorTok{|}\StringTok{ }\KeywordTok{length}\NormalTok{(text\_height) }\OperatorTok{\textgreater{}}\StringTok{ }\DecValTok{1}\NormalTok{)\{} + + \KeywordTok{stop}\NormalTok{(}\StringTok{"Please input one numeric value for the text height"}\NormalTok{)} + +\NormalTok{ \}} + + \ControlFlowTok{if}\NormalTok{ (}\OperatorTok{!}\KeywordTok{is.numeric}\NormalTok{(size\_bar) }\OperatorTok{|}\StringTok{ }\KeywordTok{length}\NormalTok{(size\_bar) }\OperatorTok{\textgreater{}}\StringTok{ }\DecValTok{1}\NormalTok{)\{} + + \KeywordTok{stop}\NormalTok{(}\StringTok{"Please input one numeric value for the bar size"}\NormalTok{)} + +\NormalTok{ \}} + + \ControlFlowTok{if}\NormalTok{ (}\OperatorTok{!}\KeywordTok{is.character}\NormalTok{(color\_bar))\{} + + \KeywordTok{stop}\NormalTok{(}\StringTok{"Please input an existing R color, as a character, for the color of the bar"}\NormalTok{)} + +\NormalTok{ \}} + + \ControlFlowTok{if}\NormalTok{ (}\OperatorTok{!}\KeywordTok{is.numeric}\NormalTok{(size\_text) }\OperatorTok{|}\StringTok{ }\KeywordTok{length}\NormalTok{(size\_text) }\OperatorTok{\textgreater{}}\StringTok{ }\DecValTok{1}\NormalTok{)\{} + + \KeywordTok{stop}\NormalTok{(}\StringTok{"Please input one numeric value for the text size"}\NormalTok{)} + +\NormalTok{ \}} + + \ControlFlowTok{if}\NormalTok{ (}\OperatorTok{!}\KeywordTok{is.numeric}\NormalTok{(font\_face) }\OperatorTok{|}\StringTok{ }\KeywordTok{length}\NormalTok{(font\_face) }\OperatorTok{\textgreater{}}\StringTok{ }\DecValTok{1}\NormalTok{)\{} + + \KeywordTok{stop}\NormalTok{(}\StringTok{"Please input one numeric value for the font face"}\NormalTok{)} + +\NormalTok{ \}} + + \ControlFlowTok{if}\NormalTok{ (}\OperatorTok{!}\KeywordTok{is.character}\NormalTok{(color\_text))\{} + + \KeywordTok{stop}\NormalTok{(}\StringTok{"Please input an existing R color, as a character, for the color of the text"}\NormalTok{)} + +\NormalTok{ \}} + + \ControlFlowTok{if}\NormalTok{ (}\OperatorTok{!}\KeywordTok{is.character}\NormalTok{(font\_style))\{} + + \KeywordTok{stop}\NormalTok{(}\StringTok{"Please input an existing font family, as a character, for the color of the bar"}\NormalTok{)} + +\NormalTok{ \}} + + \ControlFlowTok{if}\NormalTok{ (}\OperatorTok{!}\KeywordTok{is.character}\NormalTok{(line\_type))\{} + + \KeywordTok{stop}\NormalTok{(}\StringTok{"Please input an existing line style, as a character, for the color of the bar"}\NormalTok{)} + +\NormalTok{ \}} + + + + \ControlFlowTok{if}\NormalTok{ (text\_height }\OperatorTok{\textgreater{}=}\DecValTok{1}\NormalTok{)\{} + + \KeywordTok{warning}\NormalTok{(}\StringTok{"text\_height should be between 0 and 1, default value for * and around 0.04 for text are advised"}\NormalTok{)} + +\NormalTok{ \}} + + + + + + \ControlFlowTok{if}\NormalTok{ (}\KeywordTok{class}\NormalTok{(}\KeywordTok{as.list.environment}\NormalTok{(plot}\OperatorTok{$}\NormalTok{layers[[}\DecValTok{1}\NormalTok{]])}\OperatorTok{$}\NormalTok{geom)[}\DecValTok{1}\NormalTok{] }\OperatorTok{==}\StringTok{ "GeomPoint"}\NormalTok{)\{ }\CommentTok{\# if the ggplot is a dotplot} + +\NormalTok{ coords =}\StringTok{ }\KeywordTok{ggplot\_build}\NormalTok{(plot)}\OperatorTok{$}\NormalTok{data[[}\DecValTok{1}\NormalTok{]] }\CommentTok{\# get the coordinates of the points} + +\NormalTok{ xcoords =}\StringTok{ }\KeywordTok{c}\NormalTok{()} + +\NormalTok{ ycoords =}\StringTok{ }\KeywordTok{c}\NormalTok{()} + + \ControlFlowTok{for}\NormalTok{ (i }\ControlFlowTok{in}\NormalTok{ groups)\{ }\CommentTok{\# get the x coordinates of all coordinates in a vector, for the 2 selected groups} + +\NormalTok{ xcoord\_temp =}\StringTok{ }\KeywordTok{unique}\NormalTok{(coords}\OperatorTok{$}\NormalTok{x)[i]} + +\NormalTok{ xcoords =}\StringTok{ }\KeywordTok{append}\NormalTok{(xcoords, xcoord\_temp)} + +\NormalTok{ \}} + + \ControlFlowTok{for}\NormalTok{ (i }\ControlFlowTok{in} \KeywordTok{c}\NormalTok{(}\DecValTok{1}\NormalTok{,}\DecValTok{2}\NormalTok{))\{} + +\NormalTok{ ycoord\_temp =}\StringTok{ }\KeywordTok{max}\NormalTok{(coords[coords}\OperatorTok{$}\NormalTok{x }\OperatorTok{==}\StringTok{ }\NormalTok{xcoords[i],]}\OperatorTok{$}\NormalTok{y) }\CommentTok{\# get the y coordinate of the upper point of each group} + +\NormalTok{ ycoords =}\StringTok{ }\KeywordTok{append}\NormalTok{(ycoords, ycoord\_temp)} + +\NormalTok{ \}} + + + +\NormalTok{ y\_range =}\StringTok{ }\KeywordTok{ggplot\_build}\NormalTok{(plot)}\OperatorTok{$}\NormalTok{layout}\OperatorTok{$}\NormalTok{panel\_scales\_y[[}\DecValTok{1}\NormalTok{]]}\OperatorTok{$}\NormalTok{limits }\CommentTok{\# get the total height of the y scale} + \CommentTok{\# panel\_ranges in ggplot\_build(plot)$layout does not exist anymore ... use panel\_scale\_y instead} + +\NormalTok{ y\_sum =}\StringTok{ }\KeywordTok{sum}\NormalTok{(}\KeywordTok{abs}\NormalTok{(y\_range)) } + +\NormalTok{ y\_scale =}\StringTok{ }\NormalTok{(}\FloatTok{7.5}\OperatorTok{/}\DecValTok{100}\NormalTok{)}\OperatorTok{*}\NormalTok{y\_sum }\CommentTok{\# starting position of the vertical bar (determined \% of the total y scale)} + +\NormalTok{ bar\_height =}\StringTok{ }\NormalTok{y\_scale }\OperatorTok{+}\StringTok{ }\NormalTok{((}\DecValTok{5}\OperatorTok{/}\DecValTok{100}\NormalTok{)}\OperatorTok{*}\NormalTok{y\_sum) }\CommentTok{\# final position of the vertical bar (determined \% of the total y scale in addition to y\_scale)} + + + +\NormalTok{ ycoord\_top =}\StringTok{ }\KeywordTok{max}\NormalTok{(ycoords) }\CommentTok{\# the bar should take the heighest of the two groups as a reference} + +\NormalTok{ coord\_bar =}\StringTok{ }\KeywordTok{data.frame}\NormalTok{(}\DataTypeTok{x =} \KeywordTok{c}\NormalTok{(xcoords[}\DecValTok{1}\NormalTok{], xcoords[}\DecValTok{1}\NormalTok{], xcoords[}\DecValTok{2}\NormalTok{], xcoords[}\DecValTok{2}\NormalTok{]), }\DataTypeTok{y =} \KeywordTok{c}\NormalTok{(ycoord\_top }\OperatorTok{+}\StringTok{ }\NormalTok{y\_scale, ycoord\_top }\OperatorTok{+}\StringTok{ }\NormalTok{bar\_height, ycoord\_top }\OperatorTok{+}\StringTok{ }\NormalTok{bar\_height, ycoord\_top }\OperatorTok{+}\StringTok{ }\NormalTok{y\_scale)) }\CommentTok{\# final coordinates of the bar} + + + +\NormalTok{ star\_x =}\StringTok{ }\KeywordTok{mean}\NormalTok{(xcoords) }\CommentTok{\# x coordinate of the text above the bar (in the middle of the two groups)} + +\NormalTok{ star\_y =}\StringTok{ }\NormalTok{ycoord\_top }\OperatorTok{+}\StringTok{ }\NormalTok{bar\_height }\OperatorTok{+}\StringTok{ }\NormalTok{((}\FloatTok{2.75}\OperatorTok{/}\DecValTok{100}\NormalTok{)}\OperatorTok{*}\NormalTok{y\_sum) }\CommentTok{\# y coordinate of the text above the bar (above the bar by a determined factor)} + +\NormalTok{ coord\_star =}\StringTok{ }\KeywordTok{c}\NormalTok{(star\_x, star\_y) }\CommentTok{\# x,y coordinates of the text above the bar} + + + +\NormalTok{ plot =}\StringTok{ }\NormalTok{plot }\OperatorTok{+}\StringTok{ }\KeywordTok{geom\_path}\NormalTok{(}\DataTypeTok{data =}\NormalTok{ coord\_bar, }\KeywordTok{aes}\NormalTok{(}\DataTypeTok{x=}\NormalTok{x, }\DataTypeTok{y=}\NormalTok{y), }\DataTypeTok{size =}\NormalTok{ size\_bar, }\DataTypeTok{color =}\NormalTok{ color\_bar, }\DataTypeTok{linetype =}\NormalTok{ line\_type) }\OperatorTok{+}\StringTok{ }\KeywordTok{annotate}\NormalTok{(}\StringTok{"text"}\NormalTok{, }\DataTypeTok{x =}\NormalTok{ star\_x, }\DataTypeTok{y =}\NormalTok{ star\_y, }\DataTypeTok{label =}\NormalTok{ text, }\DataTypeTok{size =}\NormalTok{ size\_text, }\DataTypeTok{color =}\NormalTok{ color\_text, }\DataTypeTok{fontface =}\NormalTok{ font\_face, }\DataTypeTok{family =}\NormalTok{ font\_style) }\CommentTok{\# create the new ggplot} + + \KeywordTok{print}\NormalTok{(plot)} + + + +\NormalTok{ \} }\ControlFlowTok{else} \ControlFlowTok{if}\NormalTok{ (}\KeywordTok{class}\NormalTok{(}\KeywordTok{as.list.environment}\NormalTok{(plot}\OperatorTok{$}\NormalTok{layers[[}\DecValTok{1}\NormalTok{]])}\OperatorTok{$}\NormalTok{geom)[}\DecValTok{1}\NormalTok{] }\OperatorTok{==}\StringTok{ "GeomBar"}\NormalTok{) \{ }\CommentTok{\# if the ggplot is a dotplot} + +\NormalTok{ coords =}\StringTok{ }\KeywordTok{ggplot\_build}\NormalTok{(plot)}\OperatorTok{$}\NormalTok{data[[}\DecValTok{1}\NormalTok{]]} + +\NormalTok{ xcoords =}\StringTok{ }\KeywordTok{c}\NormalTok{() } + +\NormalTok{ ycoords =}\StringTok{ }\KeywordTok{c}\NormalTok{()} + + \ControlFlowTok{for}\NormalTok{ (i }\ControlFlowTok{in}\NormalTok{ groups)\{ }\CommentTok{\# get the x and y coordinates of the two groups } + +\NormalTok{ xcoord\_temp =}\StringTok{ }\KeywordTok{mean}\NormalTok{(}\KeywordTok{c}\NormalTok{(coords[i,]}\OperatorTok{$}\NormalTok{xmin, coords[i,]}\OperatorTok{$}\NormalTok{xmax))} + +\NormalTok{ xcoords =}\StringTok{ }\KeywordTok{append}\NormalTok{(xcoords, xcoord\_temp)} + +\NormalTok{ ycoord\_temp =}\StringTok{ }\NormalTok{coords[i,}\DecValTok{7}\NormalTok{] }\CommentTok{\# The position of ymax in ggplot\_build(plot)$data[[1]] changed from column 6 to 7} + +\NormalTok{ ycoords =}\StringTok{ }\KeywordTok{append}\NormalTok{(ycoords, ycoord\_temp)} + +\NormalTok{ \}} + + + +\NormalTok{ y\_range =}\StringTok{ }\KeywordTok{ggplot\_build}\NormalTok{(plot)}\OperatorTok{$}\NormalTok{layout}\OperatorTok{$}\NormalTok{panel\_scales\_y[[}\DecValTok{1}\NormalTok{]]}\OperatorTok{$}\NormalTok{limits }\CommentTok{\# get the total height of the y scale} + +\NormalTok{ y\_sum =}\StringTok{ }\KeywordTok{sum}\NormalTok{(}\KeywordTok{abs}\NormalTok{(y\_range))} + +\NormalTok{ y\_scale =}\StringTok{ }\NormalTok{(}\FloatTok{7.5}\OperatorTok{/}\DecValTok{100}\NormalTok{)}\OperatorTok{*}\NormalTok{y\_sum }\CommentTok{\# starting position of the vertical bar (determined \% of the total y scale)} + +\NormalTok{ bar\_height =}\StringTok{ }\NormalTok{y\_scale }\OperatorTok{+}\StringTok{ }\NormalTok{((}\DecValTok{5}\OperatorTok{/}\DecValTok{100}\NormalTok{)}\OperatorTok{*}\NormalTok{y\_sum) }\CommentTok{\# final position of the vertical bar (determined \% of the total y scale in addition to y\_scale)} + + + +\NormalTok{ ycoord\_top =}\StringTok{ }\KeywordTok{max}\NormalTok{(ycoords) }\CommentTok{\# the bar should take the heighest of the two groups as a reference} + +\NormalTok{ coord\_bar =}\StringTok{ }\KeywordTok{data.frame}\NormalTok{(}\DataTypeTok{x =} \KeywordTok{c}\NormalTok{(xcoords[}\DecValTok{1}\NormalTok{], xcoords[}\DecValTok{1}\NormalTok{], xcoords[}\DecValTok{2}\NormalTok{], xcoords[}\DecValTok{2}\NormalTok{]), }\DataTypeTok{y =} \KeywordTok{c}\NormalTok{(ycoord\_top }\OperatorTok{+}\StringTok{ }\NormalTok{y\_scale, ycoord\_top }\OperatorTok{+}\StringTok{ }\NormalTok{bar\_height, ycoord\_top }\OperatorTok{+}\StringTok{ }\NormalTok{bar\_height, ycoord\_top }\OperatorTok{+}\StringTok{ }\NormalTok{y\_scale)) }\CommentTok{\# final coordinates of the bar} + + + +\NormalTok{ star\_x =}\StringTok{ }\KeywordTok{mean}\NormalTok{(xcoords) }\CommentTok{\# x coordinate of the text above the bar (in the middle of the two groups)} + +\NormalTok{ star\_y =}\StringTok{ }\NormalTok{ycoord\_top }\OperatorTok{+}\StringTok{ }\NormalTok{bar\_height }\OperatorTok{+}\StringTok{ }\NormalTok{(text\_height}\OperatorTok{*}\NormalTok{y\_sum) }\CommentTok{\# y coordinate of the text above the bar (above the bar by a determined factor)} + +\NormalTok{ coord\_star =}\StringTok{ }\KeywordTok{c}\NormalTok{(star\_x, star\_y) }\CommentTok{\# x,y coordinates of the text above the bar} + + + +\NormalTok{ plot =}\StringTok{ }\NormalTok{plot }\OperatorTok{+}\StringTok{ }\KeywordTok{geom\_path}\NormalTok{(}\DataTypeTok{data =}\NormalTok{ coord\_bar, }\KeywordTok{aes}\NormalTok{(}\DataTypeTok{x=}\NormalTok{x, }\DataTypeTok{y=}\NormalTok{y), }\DataTypeTok{size =}\NormalTok{ size\_bar, }\DataTypeTok{color =}\NormalTok{ color\_bar, }\DataTypeTok{linetype =}\NormalTok{ line\_type) }\OperatorTok{+}\StringTok{ }\KeywordTok{annotate}\NormalTok{(}\StringTok{"text"}\NormalTok{, }\DataTypeTok{x =}\NormalTok{ star\_x, }\DataTypeTok{y =}\NormalTok{ star\_y, }\DataTypeTok{label =}\NormalTok{ text, }\DataTypeTok{size =}\NormalTok{ size\_text, }\DataTypeTok{color =}\NormalTok{ color\_text, }\DataTypeTok{fontface =}\NormalTok{ font\_face, }\DataTypeTok{family =}\NormalTok{ font\_style) }\CommentTok{\# create the new ggplot} + + \KeywordTok{print}\NormalTok{(plot)} + +\NormalTok{ \}} + +\NormalTok{\}} +\end{Highlighting} +\end{Shaded} + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{gg\textless{}{-}}\StringTok{ }\KeywordTok{ggplot}\NormalTok{(c, }\KeywordTok{aes}\NormalTok{(}\DataTypeTok{x =}\NormalTok{ c..aa....ap.., }\DataTypeTok{y =} \KeywordTok{as.numeric}\NormalTok{(m\_duree\_appel)))}\OperatorTok{+} +\StringTok{ }\KeywordTok{geom\_bar}\NormalTok{(}\DataTypeTok{stat =} \StringTok{"identity"}\NormalTok{)}\OperatorTok{+} +\StringTok{ }\KeywordTok{geom\_errorbar}\NormalTok{(}\DataTypeTok{ymin =}\NormalTok{ m\_duree\_appel}\OperatorTok{{-}}\NormalTok{sd\_duree\_appel, }\DataTypeTok{ymax =}\NormalTok{ m\_duree\_appel}\OperatorTok{+}\NormalTok{sd\_duree\_appel)}\OperatorTok{+}\StringTok{ } +\StringTok{ }\KeywordTok{ylim}\NormalTok{(}\OperatorTok{{-}}\DecValTok{500}\NormalTok{,}\DecValTok{5000}\NormalTok{)}\OperatorTok{+} +\StringTok{ }\KeywordTok{labs}\NormalTok{(}\DataTypeTok{title=}\StringTok{"Duree appel"}\NormalTok{)} +\KeywordTok{significativity\_bar}\NormalTok{(gg, }\DataTypeTok{groups =} \KeywordTok{c}\NormalTok{(}\DecValTok{1}\NormalTok{,}\DecValTok{2}\NormalTok{))} +\end{Highlighting} +\end{Shaded} + +\includegraphics{test-notebook_files/figure-latex/unnamed-chunk-19-1.pdf} + +\hypertarget{taux-de-ruxe9ponses}{% +\subsubsection{Taux de réponses}\label{taux-de-ruxe9ponses}} + +Cette partie c'est juste pour voir si je répond autant aux messages +qu'on m'en envoie. + +\begin{Shaded} +\begin{Highlighting}[] +\NormalTok{Ratio\textless{}{-}df}\OperatorTok{$}\NormalTok{Messages\_recus}\OperatorTok{/}\NormalTok{df}\OperatorTok{$}\NormalTok{Messages\_envoyes} +\CommentTok{\#Remplacement des NaN et inf (division par 0) en 0.} +\NormalTok{Ratio[}\KeywordTok{is.na}\NormalTok{(Ratio)]\textless{}{-}}\DecValTok{0} +\NormalTok{Ratio[}\KeywordTok{is.infinite}\NormalTok{(Ratio)]\textless{}{-}}\DecValTok{0} +\KeywordTok{barplot}\NormalTok{(Ratio)} +\end{Highlighting} +\end{Shaded} + +\includegraphics{test-notebook_files/figure-latex/unnamed-chunk-20-1.pdf} + +\begin{Shaded} +\begin{Highlighting}[] +\KeywordTok{mean}\NormalTok{(Ratio)} +\end{Highlighting} +\end{Shaded} + +\begin{verbatim} +## [1] 1.067513 +\end{verbatim} + +En moyenne c'est assez équilibré : je réponds autant de fois qu'on +m'envoie un message. + +\hypertarget{conclusion}{% +\subsection{Conclusion}\label{conclusion}} + +\textbf{J'ai passé pas mal de temps à faire ça mais ça m'a permis de +bien prendre en main l'outil.\\ +Je conçois que mon étude est assez sale et que les manières de plotter +ne sont vraiment pas optimisées mais ce n'était pas vraiment le but de +l'exercice.} + +\textbf{Après avoir compilé, je n'ai pas pû le faire en pdf (des erreurs +de polices qui ne passent pas avec LaTeX on dirait \ldots).\\ +Aussi, j'ai remarqué qu'il fallait laissé un retour chariot après la +visualisation du plot sinon le texte se met à côté dans le rendu.} + +\end{document} diff --git a/module2/exo4/test-notebook.utf8.md b/module2/exo4/test-notebook.utf8.md new file mode 100644 index 0000000..817d160 --- /dev/null +++ b/module2/exo4/test-notebook.utf8.md @@ -0,0 +1,620 @@ +--- +title: "R Notebook" +output: + pdf_document: default + html_notebook: default +--- + + +## L'étude +Cette étude consiste à évaluer mon usage du téléphone depuis le 25 février 2020 pour établir un lien entre la mise en place du confinement le 17 mars 2020 et mon usage téléphonique. + +## Le fichier de données +Le fichier de données ci-après est une table représentant différents paramètres chaque jour depuis le 25/02/2020 : +- Le nombre d'appels émis : Appels\_emis +- Le nombre d'appels reçus : Appels\_recus (Comprends aussi les appels manqués) +- La durée totale des appels de la journée en seconde : Duree\_appels +- Le nombre de messages reçus : Messages\_recus +- Le nombre de messages envoyés : Messages\_envoyes + +Le fichier peut être importé comme ceci : + +```r +df<-read.csv("C:/Users/Marc/Desktop/MOOC/mooc-rr/module2/exo4/Book1.csv", sep = ";") +head(df) +``` + +``` +## ï..Date Appels_emis Appels_recus Duree_appel Messages_recus +## 1 25/02/2020 0 0 0 6 +## 2 26/02/2020 1 1 5 3 +## 3 27/02/2020 0 0 0 3 +## 4 28/02/2020 0 0 0 0 +## 5 29/02/2020 3 1 3470 1 +## 6 01/03/2020 1 1 141 15 +## Messages_envoyes +## 1 4 +## 2 4 +## 3 2 +## 4 0 +## 5 0 +## 6 7 +``` + +## L'analyse de l'usage téléphonique + +Tout d'abord on peut plotter les différents paramètres au cours du temps pour se donner un aperçu de mon usage : + +1. Les appels émis + +```r +barplot(df$Appels_emis, names.arg = df$ï..Date) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-2-1.pdf) + +Les dates sont mal positionnées mais c'est pas grave. Il semble que j'ai beaucoup appelé autour de la date du 17 mars. + +2. Appels reçus + +```r +barplot(df$Appels_recus, names.arg = df$ï..Date) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-3-1.pdf) + +Il semble que j'ai reçu beaucoup d'appels la veille du 17 mars puis que j'ai reçu + d'appels en général après cette période qu'avant. + +3. Durée appel + +```r +barplot(df$Duree_appel, names.arg = df$ï..Date) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-4-1.pdf) + +Là c'est très voyant. J'ai passé beaucoup de temps au téléphone après le 16 mars comparé à avant (sauf 2 fois). + +4. Messages reçus + +```r +barplot(df$Messages_recus, names.arg = df$ï..Date) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-5-1.pdf) + +5. Messages envoyés + +```r +barplot(df$Messages_envoyes, names.arg = df$ï..Date) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-6-1.pdf) + +Pour les messages, la tendance est inverse aux appels : je reçois et envoie - de sms depuis le 17 mars comparé à avant. +J'ai eput être changé mon usage de l'un à l'autre. +Sauf autour du 16-17 mars où j'ai beaucoup communiqué. + +### Représentation des moyennes avant et après le 17 mars +Je vais rajouté une colonne pour indiqué avant ou après le 17 mars. + +```r +add<-c(rep("avant",21), rep("après",21)) +df$add<-add +``` +Oui je sais c'est vraiment nul mais en gros je sais qu'il y a 42 lignes dans mon tableau (je peux le vérifier avec `length(df$Appels_emis)` par exemple) et que le 17 mars est la 22ème ligne. +J'ai donc ajouté 21 fois "avant" et 21 fois "après" sur une colonne dans mon data frame df. + + +Maintenant on va pouvoir calculer les moyennes des paramètres avant et après (inclus) le 17 mars 2020. + +```r +m_appels_emis<-c(mean(df$Appels_emis[df$add=="avant"]), mean(df$Appels_emis[df$add=="après"])) +m_appels_recus<-c(mean(df$Appels_recus[df$add=="avant"]), mean(df$Appels_recus[df$add=="après"])) +m_duree_appel<-c(mean(df$Duree_appel[df$add=="avant"]), mean(df$Duree_appel[df$add=="après"])) +m_messages_recus<-c(mean(df$Messages_recus[df$add=="avant"]), mean(df$Messages_recus[df$add=="après"])) +m_messages_envoyes<-c(mean(df$Messages_envoyes[df$add=="avant"]), mean(df$Messages_envoyes[df$add=="après"])) +m_appels_emis +``` + +``` +## [1] 1.142857 1.523810 +``` + +```r +m_appels_recus +``` + +``` +## [1] 0.8095238 1.1904762 +``` + +```r +m_messages_recus +``` + +``` +## [1] 6.285714 2.761905 +``` + +```r +m_messages_envoyes +``` + +``` +## [1] 5.285714 1.523810 +``` +Et les écarts-types : + +```r +sd_appels_emis<-c(sd(df$Appels_emis[df$add=="avant"]), sd(df$Appels_emis[df$add=="après"])) +sd_appels_recus<-c(sd(df$Appels_recus[df$add=="avant"]), sd(df$Appels_recus[df$add=="après"])) +sd_duree_appel<-c(sd(df$Duree_appel[df$add=="avant"]), sd(df$Duree_appel[df$add=="après"])) +sd_messages_recus<-c(sd(df$Messages_recus[df$add=="avant"]), sd(df$Messages_recus[df$add=="après"])) +sd_messages_envoyes<-c(sd(df$Messages_envoyes[df$add=="avant"]), sd(df$Messages_envoyes[df$add=="après"])) +``` + + +Maintenant on va pouvoir plotter les moyennes de tous les paramètres avant et après (inclus) le 17 mars 2020. +Le mieux c'est d'utiliser ggplot. + +```r +#install.packages("ggplot2") +library(ggplot2) +a<-data.frame(m_appels_emis, sd_appels_emis, c("aa", "ap")) +ggplot(a, aes(x = a$c..aa....ap.., y = m_appels_emis))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = a$m_appels_emis-a$sd_appels_emis, ymax = a$m_appels_emis+a$sd_appels_emis)+ + ylim(-1,4)+ + labs(title="Appels émis") +``` + +``` +## Warning: Use of `a$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. + +## Warning: Use of `a$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-10-1.pdf) + +```r +b<-data.frame(m_appels_recus, sd_appels_recus, c("aa", "ap")) +ggplot(b, aes(x = b$c..aa....ap.., y = b$m_appels_recus))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = b$m_appels_recus-b$sd_appels_recus, ymax = b$m_appels_recus+b$sd_appels_recus)+ + ylim(-1,3)+ + labs(title="Appels recus") +``` + +``` +## Warning: Use of `b$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `b$m_appels_recus` is discouraged. Use `m_appels_recus` instead. +``` + +``` +## Warning: Use of `b$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `b$m_appels_recus` is discouraged. Use `m_appels_recus` instead. +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-11-1.pdf) + +```r +c<-data.frame(m_duree_appel, sd_duree_appel, c("aa", "ap")) +ggplot(c, aes(x = c$c..aa....ap.., y = c$m_duree_appel))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = c$m_duree_appel-c$sd_duree_appel, ymax = c$m_duree_appel+c$sd_duree_appel)+ + ylim(-500,2000)+ + labs(title="Duree appel") +``` + +``` +## Warning: Use of `c$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `c$m_duree_appel` is discouraged. Use `m_duree_appel` instead. +``` + +``` +## Warning: Use of `c$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `c$m_duree_appel` is discouraged. Use `m_duree_appel` instead. +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-12-1.pdf) + +```r +d<-data.frame(m_messages_envoyes, sd_messages_envoyes, c("aa", "ap")) +ggplot(d, aes(x = d$c..aa....ap.., y = d$m_messages_envoyes))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = d$m_messages_envoyes-d$sd_messages_envoyes, ymax = d$m_messages_envoyes+d$sd_messages_envoyes)+ + ylim(0,12)+ + labs(title="Messages envoyes") +``` + +``` +## Warning: Use of `d$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `d$m_messages_envoyes` is discouraged. Use `m_messages_envoyes` +## instead. +``` + +``` +## Warning: Use of `d$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `d$m_messages_envoyes` is discouraged. Use `m_messages_envoyes` +## instead. +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-13-1.pdf) + +```r +e<-data.frame(m_messages_recus, sd_messages_recus, c("aa", "ap")) +ggplot(e, aes(x = e$c..aa....ap.., y = e$m_messages_recus))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = e$m_messages_recus-e$sd_messages_recus, ymax = e$m_messages_recus+e$sd_messages_recus)+ + ylim(-2,12)+ + labs(title="Messages recus") +``` + +``` +## Warning: Use of `e$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `e$m_messages_recus` is discouraged. Use `m_messages_recus` +## instead. +``` + +``` +## Warning: Use of `e$c..aa....ap..` is discouraged. Use `c..aa....ap..` instead. +``` + +``` +## Warning: Use of `e$m_messages_recus` is discouraged. Use `m_messages_recus` +## instead. +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-14-1.pdf) + +__Bilan : On voit des augmentations dans les appels et une diminution dans les messages mais les écarts types sont énormes__ + +A mon avis, rien n'est significatif mais on peut s'entrainer sur un cas. +Comme il n'y a que 21 valeurs dans chaque groupe, je ne peux pas appliquer le théorème central limite. Je vais donc vérifier la distribution normale de chaque groupe ainsi que l'égalité des variances pour voir quel test statistique appliqué. +Prenons comme exemple la durée de l'appel. + +```r +shapiro.test(df$Duree_appel[df$add=="avant"]) +``` + +``` +## +## Shapiro-Wilk normality test +## +## data: df$Duree_appel[df$add == "avant"] +## W = 0.53087, p-value = 3.968e-07 +``` + +```r +shapiro.test(df$Duree_appel[df$add=="après"]) +``` + +``` +## +## Shapiro-Wilk normality test +## +## data: df$Duree_appel[df$add == "après"] +## W = 0.88753, p-value = 0.0202 +``` +Les tests de Shapiro-Wilk sont significatifs donc les distributions ne sont pas normales. +Utilisation de tests non paramétriques type Mann-Whitney : + +```r +wilcox.test(df$Duree_appel[df$add=="avant"],df$Duree_appel[df$add=="après"]) +``` + +``` +## Warning in wilcox.test.default(df$Duree_appel[df$add == "avant"], +## df$Duree_appel[df$add == : cannot compute exact p-value with ties +``` + +``` +## +## Wilcoxon rank sum test with continuity correction +## +## data: df$Duree_appel[df$add == "avant"] and df$Duree_appel[df$add == "après"] +## W = 140.5, p-value = 0.03965 +## alternative hypothesis: true location shift is not equal to 0 +``` +Ah ben en fait la durée des appels a significativement augmentée après le 17 mars 2020. Je ne suis pas super fort en statistiques donc j'espère que c'est correct. Aussi, 21 échantillons par groupe c'est pas mal pour un test non paramétrique. + +Du coup on va essayer de mettre une étoile sur le plot (ce qui n'est pas compris dans les fonctions ggplot). +Pour cela on va donc tester le code d'un ami disponible sur [Github](https://github.com/EvenStar69/significativity.bar). + +```r +#install.packages("devtools") +library(devtools) +``` + +``` +## Loading required package: usethis +``` + +```r +#Besoin de Rtools 3.5 +#install_github("EvenStar69/significativity.bar/significativity.bar") +library(significativity.bar) +``` +Bon j'ai dû un peu changer sa fonction parce qu'elle n'est plus compatible avec ggplot 3.3. +J'ai changé la manière de retrouver les coordonnées y : The position of ymax in ggplot\_build(plot)\$data[[1]] changed from column 6 to 7. +Et j'ai changé la manière de retrouver l'échalle en y : panel_ranges in ggplot\_build(plot)\$layout does not exist anymore ... use panel\_scale\_y instead. +J'ai aussi dû mettre à jour R vers la version 3.6.3. +Voici le code modifié de sa fonction : + +```r +significativity_bar <- function(plot, groups, text = "*", text_height = 0.0275, size_bar = 1, color_bar = "black", size_text = 8, color_text = "black", font_face = 1, font_style = "serif", line_type = "solid"){ + + + + if (!require("ggplot2", character.only=T, quietly=T)){ # use library ggplot + + install.packages("ggplot2") + + library(ggplot2, character.only=T) + + } + + + + if (class(plot)[1] != "gg"){ + + stop("Your input plot is not a ggplot") + + } + + if (length(groups) != 2){ + + stop("Please select only 2 groups between which you want the error bar") + + } + + if (!is.vector(groups)){ + + stop("Please input your 2 selected groups in a vector") + + } + + if (!is.character(text)) { + + stop("Please input the text above the bar as character") + + } + + if (!is.numeric(text_height) | length(text_height) > 1){ + + stop("Please input one numeric value for the text height") + + } + + if (!is.numeric(size_bar) | length(size_bar) > 1){ + + stop("Please input one numeric value for the bar size") + + } + + if (!is.character(color_bar)){ + + stop("Please input an existing R color, as a character, for the color of the bar") + + } + + if (!is.numeric(size_text) | length(size_text) > 1){ + + stop("Please input one numeric value for the text size") + + } + + if (!is.numeric(font_face) | length(font_face) > 1){ + + stop("Please input one numeric value for the font face") + + } + + if (!is.character(color_text)){ + + stop("Please input an existing R color, as a character, for the color of the text") + + } + + if (!is.character(font_style)){ + + stop("Please input an existing font family, as a character, for the color of the bar") + + } + + if (!is.character(line_type)){ + + stop("Please input an existing line style, as a character, for the color of the bar") + + } + + + + if (text_height >=1){ + + warning("text_height should be between 0 and 1, default value for * and around 0.04 for text are advised") + + } + + + + + + if (class(as.list.environment(plot$layers[[1]])$geom)[1] == "GeomPoint"){ # if the ggplot is a dotplot + + coords = ggplot_build(plot)$data[[1]] # get the coordinates of the points + + xcoords = c() + + ycoords = c() + + for (i in groups){ # get the x coordinates of all coordinates in a vector, for the 2 selected groups + + xcoord_temp = unique(coords$x)[i] + + xcoords = append(xcoords, xcoord_temp) + + } + + for (i in c(1,2)){ + + ycoord_temp = max(coords[coords$x == xcoords[i],]$y) # get the y coordinate of the upper point of each group + + ycoords = append(ycoords, ycoord_temp) + + } + + + + y_range = ggplot_build(plot)$layout$panel_scales_y[[1]]$limits # get the total height of the y scale + # panel_ranges in ggplot_build(plot)$layout does not exist anymore ... use panel_scale_y instead + + y_sum = sum(abs(y_range)) + + y_scale = (7.5/100)*y_sum # starting position of the vertical bar (determined % of the total y scale) + + bar_height = y_scale + ((5/100)*y_sum) # final position of the vertical bar (determined % of the total y scale in addition to y_scale) + + + + ycoord_top = max(ycoords) # the bar should take the heighest of the two groups as a reference + + coord_bar = data.frame(x = c(xcoords[1], xcoords[1], xcoords[2], xcoords[2]), y = c(ycoord_top + y_scale, ycoord_top + bar_height, ycoord_top + bar_height, ycoord_top + y_scale)) # final coordinates of the bar + + + + star_x = mean(xcoords) # x coordinate of the text above the bar (in the middle of the two groups) + + star_y = ycoord_top + bar_height + ((2.75/100)*y_sum) # y coordinate of the text above the bar (above the bar by a determined factor) + + coord_star = c(star_x, star_y) # x,y coordinates of the text above the bar + + + + plot = plot + geom_path(data = coord_bar, aes(x=x, y=y), size = size_bar, color = color_bar, linetype = line_type) + annotate("text", x = star_x, y = star_y, label = text, size = size_text, color = color_text, fontface = font_face, family = font_style) # create the new ggplot + + print(plot) + + + + } else if (class(as.list.environment(plot$layers[[1]])$geom)[1] == "GeomBar") { # if the ggplot is a dotplot + + coords = ggplot_build(plot)$data[[1]] + + xcoords = c() + + ycoords = c() + + for (i in groups){ # get the x and y coordinates of the two groups + + xcoord_temp = mean(c(coords[i,]$xmin, coords[i,]$xmax)) + + xcoords = append(xcoords, xcoord_temp) + + ycoord_temp = coords[i,7] # The position of ymax in ggplot_build(plot)$data[[1]] changed from column 6 to 7 + + ycoords = append(ycoords, ycoord_temp) + + } + + + + y_range = ggplot_build(plot)$layout$panel_scales_y[[1]]$limits # get the total height of the y scale + + y_sum = sum(abs(y_range)) + + y_scale = (7.5/100)*y_sum # starting position of the vertical bar (determined % of the total y scale) + + bar_height = y_scale + ((5/100)*y_sum) # final position of the vertical bar (determined % of the total y scale in addition to y_scale) + + + + ycoord_top = max(ycoords) # the bar should take the heighest of the two groups as a reference + + coord_bar = data.frame(x = c(xcoords[1], xcoords[1], xcoords[2], xcoords[2]), y = c(ycoord_top + y_scale, ycoord_top + bar_height, ycoord_top + bar_height, ycoord_top + y_scale)) # final coordinates of the bar + + + + star_x = mean(xcoords) # x coordinate of the text above the bar (in the middle of the two groups) + + star_y = ycoord_top + bar_height + (text_height*y_sum) # y coordinate of the text above the bar (above the bar by a determined factor) + + coord_star = c(star_x, star_y) # x,y coordinates of the text above the bar + + + + plot = plot + geom_path(data = coord_bar, aes(x=x, y=y), size = size_bar, color = color_bar, linetype = line_type) + annotate("text", x = star_x, y = star_y, label = text, size = size_text, color = color_text, fontface = font_face, family = font_style) # create the new ggplot + + print(plot) + + } + +} +``` + + + +```r +gg<- ggplot(c, aes(x = c..aa....ap.., y = as.numeric(m_duree_appel)))+ + geom_bar(stat = "identity")+ + geom_errorbar(ymin = m_duree_appel-sd_duree_appel, ymax = m_duree_appel+sd_duree_appel)+ + ylim(-500,5000)+ + labs(title="Duree appel") +significativity_bar(gg, groups = c(1,2)) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-19-1.pdf) + + +### Taux de réponses + +Cette partie c'est juste pour voir si je répond autant aux messages qu'on m'en envoie. + +```r +Ratio<-df$Messages_recus/df$Messages_envoyes +#Remplacement des NaN et inf (division par 0) en 0. +Ratio[is.na(Ratio)]<-0 +Ratio[is.infinite(Ratio)]<-0 +barplot(Ratio) +``` + +![](test-notebook_files/figure-latex/unnamed-chunk-20-1.pdf) + +```r +mean(Ratio) +``` + +``` +## [1] 1.067513 +``` +En moyenne c'est assez équilibré : je réponds autant de fois qu'on m'envoie un message. + +## Conclusion + +__J'ai passé pas mal de temps à faire ça mais ça m'a permis de bien prendre en main l'outil. +Je conçois que mon étude est assez sale et que les manières de plotter ne sont vraiment pas optimisées mais ce n'était pas vraiment le but de l'exercice.__ + +__Après avoir compilé, je n'ai pas pû le faire en pdf (des erreurs de polices qui ne passent pas avec LaTeX on dirait ...). +Aussi, j'ai remarqué qu'il fallait laissé un retour chariot après la visualisation du plot sinon le texte se met à côté dans le rendu.__ diff --git a/module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-10-1.pdf b/module2/exo4/test-notebook_files/figure-latex/unnamed-chunk-10-1.pdf new file mode 100644 index 0000000000000000000000000000000000000000..bf6540015d599aced7bbca16bc79a842dbecc551 GIT binary patch literal 4436 zcmZ`-c{~(a`xhajvZo0dE`>0QG4>_KI?0-yOk*%%Ml&Pp*h9!A5!uNS*OibhBiXZz zJ)&&gh(buR)NiJH>%H&2@9+F~zUO()^PJ~%zUT9NkE9t=Uk)k{2S|p`hcATF!bcp5 z04N9oB3!u&P*(?lb%|Is8Are)(PS)03aJW%z#tGfL;JoEg(G{> zy(~ZmM6{0w4nqQ&`jUNo$#gd}BEi)cgC#On732}}3UusyECK_P254#muy|KS7OXh8@G2h{cotG6(At@MQXw1XBL) z4z|FO2);xNeLwg=_G1|QD8~gX-kt0LLLi_Zus+U`z_3cQ!8_-SCm@{=}cakM;VD+Zb7UIgun@0mo??l6c4Fj{--b6 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z{Hk!YBWdgMx^#r*mwL=RU~pvKK<~YGSL|WjWWBN>{@Yr_%{lqc*q*o{^y;rq&HD~8 zl%a-R8^PO_f0EjilJ1JKlh1`tSrGywBA4f}nN z{xRkLA!5Ie*-)pzll1SJmIJcqcUx=#d-!FK-rs}%VPk debut & data$date <= fin + sum(data$inc[semaines], na.rm = TRUE) +} +``` +L'année 1984 commence en hiver donc dans le pic donc il vaut mieux prendre des années à partir de 1985. +```{r} +annees = 1985:2020 +``` +On va créer un nouveau tableau des incidences par année. +```{r} +incidence_annuelle = data.frame(année = annees, incidence = sapply(annees, pic_annuel)) +head(incidence_annuelle) +``` + +```{r} +plot(incidence_annuelle, type="p") +``` + +Voir les pics les plus importants en faisant un tri par l'incidence. +```{r} +head(incidence_annuelle[order(-incidence_annuelle$incidence),]) +``` + +Histogramme de la fréquence des incidences en 10 catégories. +```{r} +hist(incidence_annuelle$incidence, breaks=10) +``` + diff --git a/module3/incidence-PAY-3.csv b/module3/incidence-PAY-3.csv new file mode 100644 index 0000000..2eda52e --- /dev/null +++ b/module3/incidence-PAY-3.csv @@ -0,0 +1,1851 @@ +# @source="rseau Sentinelles, INSERM, Sorbonne Universit, http://www.sentiweb.fr", @meta={"period":[198444,202014],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2020-04-10T17:15:59+02:00 +week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name +202014,3,0,0,0,0,0,0,FR,France +202013,3,0,0,0,0,0,0,FR,France +202012,3,8321,5873,10769,13,9,17,FR,France +202011,3,101704,93652,109756,154,142,166,FR,France +202010,3,104977,96650,113304,159,146,172,FR,France +202009,3,110696,102066,119326,168,155,181,FR,France +202008,3,143753,133984,153522,218,203,233,FR,France +202007,3,183610,172812,194408,279,263,295,FR,France +202006,3,206669,195481,217857,314,297,331,FR,France +202005,3,187957,177445,198469,285,269,301,FR,France +202004,3,122331,113492,131170,186,173,199,FR,France +202003,3,78413,71330,85496,119,108,130,FR,France 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