Update

module2/exo1/toy_document_orgmode_R_en.org

@@ -41,21 +41,47 @@ persistent from one code block to the next. The code is still executed
 using ~C-c C-c~.
 
 #+begin_src R :results output :session *R* :exports both
-summary(cars)
+summary(mtcars)
 #+end_src
 
 #+RESULTS:
-:      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
+#+begin_example
+      mpg             cyl             disp             hp       
+ Min.   :10.40   Min.   :4.000   Min.   : 71.1   Min.   : 52.0  
+ 1st Qu.:15.43   1st Qu.:4.000   1st Qu.:120.8   1st Qu.: 96.5  
+ Median :19.20   Median :6.000   Median :196.3   Median :123.0  
+ Mean   :20.09   Mean   :6.188   Mean   :230.7   Mean   :146.7  
+ 3rd Qu.:22.80   3rd Qu.:8.000   3rd Qu.:326.0   3rd Qu.:180.0  
+ Max.   :33.90   Max.   :8.000   Max.   :472.0   Max.   :335.0  
+      drat             wt             qsec             vs        
+ Min.   :2.760   Min.   :1.513   Min.   :14.50   Min.   :0.0000  
+ 1st Qu.:3.080   1st Qu.:2.581   1st Qu.:16.89   1st Qu.:0.0000  
+ Median :3.695   Median :3.325   Median :17.71   Median :0.0000  
+ Mean   :3.597   Mean   :3.217   Mean   :17.85   Mean   :0.4375  
+ 3rd Qu.:3.920   3rd Qu.:3.610   3rd Qu.:18.90   3rd Qu.:1.0000  
+ Max.   :4.930   Max.   :5.424   Max.   :22.90   Max.   :1.0000  
+       am              gear            carb      
+ Min.   :0.0000   Min.   :3.000   Min.   :1.000  
+ 1st Qu.:0.0000   1st Qu.:3.000   1st Qu.:2.000  
+ Median :0.0000   Median :4.000   Median :2.000  
+ Mean   :0.4062   Mean   :3.688   Mean   :2.812  
+ 3rd Qu.:1.0000   3rd Qu.:4.000   3rd Qu.:4.000  
+ Max.   :1.0000   Max.   :5.000   Max.   :8.000
+#+end_example
 
 Finally, an example for graphical output:
 #+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R* 
-plot(cars)
+library(ggplot2)
+
+ggplot() + 
+    geom_point(data=mtcars, mapping=aes(x=wt, y=mpg, color=factor(gear))) +
+    scale_x_continuous("Weight") +
+    scale_y_continuous("Milage") + 
+    scale_color_discrete("Gear") + 
+    theme_bw()
+
+ggsave('./cars.png', width=5, height=2.5, units="in", dpi=120)
+
 #+end_src
 
 #+RESULTS:

module2/exo1/toy_document_orgmode_python_en.org

@@ -63,11 +63,11 @@ Finally, an example for graphical output:
 #+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
 import matplotlib.pyplot as plt
 
-plt.figure(figsize=(10,5))
+plt.figure(figsize=(6,3))
 plt.plot(x,numpy.cos(x)/x)
 plt.tight_layout()
 
-plt.savefig(matplot_lib_filename)
+plt.savefig(matplot_lib_filename, bbox_inches='tight')
 print(matplot_lib_filename)
 #+end_src
 

module2/exo2/exercice_en.Rmd

@@ -23,7 +23,14 @@ summary(cars)
 It is also straightforward to include figures. For example:
 
 ```{r pressure, echo=FALSE}
-plot(pressure)
+library(ggplot2)
+
+ggplot() + 
+    geom_point(data=mtcars, mapping=aes(x=wt, y=mpg, color=factor(gear))) +
+    scale_x_continuous("Weight") +
+    scale_y_continuous("Milage") + 
+    scale_color_discrete("Gear") + 
+    theme_bw()
 ```
 
 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.