NJ_Update exercice_en.Rmd

parent 0465ae8e
--- ---
title: "Your title" title: "module2/exo3/exercice_en.Rmd (By using R)"
author: "Your name" author: "NJ"
date: "Today's date" date: "2025-July"
output: html_document output: html_document
--- ---
```{r setup, include=FALSE} ```{r}
knitr::opts_chunk$set(echo = TRUE) data_set <- 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 ```{r}
print(data_set)
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:
```{r cars}
summary(cars)
``` ```
It is also straightforward to include figures. For example: * Reproduce the first figure (sequence plot)
```{r}
```{r pressure, echo=FALSE} plot(data_set,
plot(pressure) type = "l", # "l" for line plot (use "p" for points, "b" for both)
main = "Values of Data Set Over Index", # Title of the plot
xlab = "Index", # Label for the x-axis
ylab = "Value", # Label for the y-axis
col = "blue", # Color of the line
lwd = 2 # Line width
)
``` ```
#+RESULTS:
[[file:./plot.png]]
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. * Reproduce the second figure (histogram)
```{r}
hist(data_set,
main = "Distribution of Data Set Values", # Title
xlab = "Value", # X-axis label
ylab = "Frequency", # Y-axis label
col = "lightblue", # Bar color
border = "black" , # Border color for bars
breaks = 5 # Suggest approximately 10 bins
)
```
#+RESULTS:
[[file:./hist.png]]
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