mv Practical_a

Makefile

@@ -9,7 +9,7 @@ public/index.html: public/ index.md
 	pandoc -s -c www/github-pandoc.css index.md -o public/index.html
 
 public/Practical_a.html: public/ M1_biosciences_dimension_reduction/Practical_a.Rmd
-	Rscript -e 'rmarkdown::render("M1_biosciences_dimension_reduction/Practical_a.Rmd", output_dir = "public/")'
+	Rscript -e 'rmarkdown::render("Practical_a.Rmd", output_dir = "public/")'
 
 clean:
 	sudo rm -r local public

M1_biosciences_dimension_reduction/Practical_a.Rmd → Practical_a.Rmd

@@ -75,7 +75,7 @@ We are going to work on the famous Palmer penguins dataset. This dataset is an i
 
 The  `palmerpenguins` data contains size measurements for three penguin species observed on three islands in the Palmer Archipelago, Antarctica.
 
-![](../img/lter_penguins.png)
+![](./img/lter_penguins.png)
 
 The `palmerpenguins` library load the `penguins` dataset into your R environment. If you are not familiar with `tibble`, you just have to know that they are equivalent to `data.frame`.
 
@@ -123,7 +123,7 @@ If you are not familiar with the `%>%` operator or pipe in R: It takes the outpu
 
 For the sake of this practical, we are going to focus on the continuous variables in the data `bill_length_mm`, `bill_depth_mm`, `flipper_length_mm` and `body_mass_g`.
 
-![](../img/culmen_depth.png)
+![](./img/culmen_depth.png)
 
 The function `pairs` renders scatter plots of each possible pairs of variables