Added calculation of summary statistics to module2/exo2/exercice_en.Rmd

module2/exo2/exercice_en.Rmd

 ---
-title: "Your title"
-author: "Your name"
-date: "Today's date"
+title: "Exercice 02 (2nd part)"
+author: "Anders Mårell"
+date: "2023-06-09"
 output: html_document
+editor_options: 
+  chunk_output_type: console
 ---
 
 
@@ -10,24 +12,42 @@ output: html_document
 knitr::opts_chunk$set(echo = TRUE)
 ```
 
-## Some explanations
+# Doing a simple calculation on your own
 
-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>.
+Compute the mean and the standard variation, the minimum, the median, and the maximum of the following data set:
 
-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}
+x <- 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)
+```
+
+We now calculate the mean:
+```{r}
+mean(x)
+```
 
-```{r cars}
-summary(cars)
+We now calculate the standard deviation:
+```{r}
+sd(x)
 ```
 
-It is also straightforward to include figures. For example:
+We now calculate the min:
 
-```{r pressure, echo=FALSE}
-plot(pressure)
+```{r}
+min(x)
 ```
 
-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.
+We now calculate the median:
+```{r}
+median(x)
+```
 
-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.
+We now calculate the max:
+```{r}
+max(x)
+```
+
+We can also use summary:
+```{r}
+summary(x)
+```
 
-Now it's your turn! You can delete all this information and replace it by your computational document.