diff --git a/module2/exo2/exercice_fr.Rmd b/module2/exo2/exercice_fr.Rmd index 7eece5e296bb586e88166aa8a263ca75b44c2b9e..bbdb61d4673e2cf1ea1b02a2082d9b946b289d7f 100644 --- a/module2/exo2/exercice_fr.Rmd +++ b/module2/exo2/exercice_fr.Rmd @@ -18,6 +18,12 @@ Lorsque vous cliquerez sur le bouton **Knit** ce document sera compilé afin de ```{r cars} summary(cars) +vector = c(14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0) +mean(vector) +max(vector) +min(vector) +median(vector) +sd(vector) ``` Et on peut aussi aisément inclure des figures. Par exemple: diff --git a/module2/exo2/exercice_fr.html b/module2/exo2/exercice_fr.html new file mode 100644 index 0000000000000000000000000000000000000000..ba7dcf3638b18f14735a6c8a89c4502f3146cd5c --- /dev/null +++ b/module2/exo2/exercice_fr.html @@ -0,0 +1,453 @@ + + + + + + + + + + + + + + +Votre titre + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + +
+

Quelques explications

+

Ceci est un document R markdown que vous pouvez aisément exporter au +format HTML, PDF, et MS Word. Pour plus de détails sur R Markdown +consultez http://rmarkdown.rstudio.com.

+

Lorsque vous cliquerez sur le bouton Knit ce +document sera compilé afin de ré-exécuter le code R et d’inclure les +résultats dans un document final. Comme nous vous l’avons montré dans la +vidéo, on inclue du code R de la façon suivante:

+
summary(cars)
+
##      speed           dist       
+##  Min.   : 4.0   Min.   :  2.00  
+##  1st Qu.:12.0   1st Qu.: 26.00  
+##  Median :15.0   Median : 36.00  
+##  Mean   :15.4   Mean   : 42.98  
+##  3rd Qu.:19.0   3rd Qu.: 56.00  
+##  Max.   :25.0   Max.   :120.00
+
vector = c(14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0)
+mean(vector)
+
## [1] 14.113
+
max(vector)
+
## [1] 23.4
+
min(vector)
+
## [1] 2.8
+
median(vector)
+
## [1] 14.5
+
sd(vector)
+
## [1] 4.334094
+

Et on peut aussi aisément inclure des figures. Par exemple:

+

+

Vous remarquerez le paramètre echo = FALSE qui indique +que le code ne doit pas apparaître dans la version finale du document. +Nous vous recommandons dans le cadre de ce MOOC de ne pas utiliser ce +paramètre car l’objectif est que vos analyses de données soient +parfaitement transparentes pour être reproductibles.

+

Comme les résultats ne sont pas stockés dans les fichiers Rmd, pour +faciliter la relecture de vos analyses par d’autres personnes, vous +aurez donc intérêt à générer un HTML ou un PDF et à le commiter.

+

Maintenant, à vous de jouer! Vous pouvez effacer toutes ces +informations et les remplacer par votre document computationnel.

+
+ + + + +
+ + + + + + + + + + + + + + + diff --git a/module2/exo3/exercice_en.Rmd b/module2/exo3/exercice_en.Rmd index 13b258ddd0da29bc3bf08c64b6a1db742f6d5409..f368cdf6528472d9a16649a060bbda0820317b78 100644 --- a/module2/exo3/exercice_en.Rmd +++ b/module2/exo3/exercice_en.Rmd @@ -8,6 +8,7 @@ output: html_document ```{r setup, include=FALSE} knitr::opts_chunk$set(echo = TRUE) +vector = c(14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0) ``` ## Some explanations @@ -17,13 +18,15 @@ This is an R Markdown document that you can easily export to HTML, PDF, and MS W When you click on the button **Knit**, the document will be compiled in order to re-execute the R code and to include the results into the final document. As we have shown in the video, R code is inserted as follows: ```{r cars} -summary(cars) +x=vector +plot(x, type = "l", lty = 1) +lines(x, type = "l",col="blue", lty = 1) ``` It is also straightforward to include figures. For example: ```{r pressure, echo=FALSE} -plot(pressure) +hist(vector,col="blue") ``` Note the parameter `echo = FALSE` that indicates that the code will not appear in the final version of the document. We recommend not to use this parameter in the context of this MOOC, because we want your data analyses to be perfectly transparent and reproducible. diff --git a/module2/exo3/exercice_en.html b/module2/exo3/exercice_en.html new file mode 100644 index 0000000000000000000000000000000000000000..1047260de129b2f9a24874bd49a3a06d91bbbd11 --- /dev/null +++ b/module2/exo3/exercice_en.html @@ -0,0 +1,437 @@ + + + + + + + + + + + + + + +Your title + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + +
+

Some explanations

+

This is an R Markdown document that you can easily export to HTML, +PDF, and MS Word formats. For more information on R Markdown, see http://rmarkdown.rstudio.com.

+

When you click on the button Knit, the document will +be compiled in order to re-execute the R code and to include the results +into the final document. As we have shown in the video, R code is +inserted as follows:

+
x=vector
+plot(x,  type = "l", lty = 1)
+lines(x, type = "l",col="blue", lty = 1)
+

+

It is also straightforward to include figures. For example:

+

+

Note the parameter echo = FALSE that indicates that the +code will not appear in the final version of the document. We recommend +not to use this parameter in the context of this MOOC, because we want +your data analyses to be perfectly transparent and reproducible.

+

Since the results are not stored in Rmd files, you should generate an +HTML or PDF version of your exercises and commit them. Otherwise reading +and checking your analysis will be difficult for anyone else but +you.

+

Now it’s your turn! You can delete all this information and replace +it by your computational document.

+
+ + + + +
+ + + + + + + + + + + + + + +