From 4dcd02a76c28eb9e4226fc94f38010d1575c99d4 Mon Sep 17 00:00:00 2001
From: hpolvech <helene.polveche@ens-lyon.fr>
Date: Wed, 13 Oct 2021 16:56:57 +0200
Subject: [PATCH] To go further : start
---
session_4/session_4.Rmd | 23 +++++++++++++++++++++++
1 file changed, 23 insertions(+)
diff --git a/session_4/session_4.Rmd b/session_4/session_4.Rmd
index 84e86ea..9ace90f 100644
--- a/session_4/session_4.Rmd
+++ b/session_4/session_4.Rmd
@@ -412,3 +412,26 @@ mutate(
- Ranking: there are a number of ranking functions, but you should start with `min_rank()`. There is also `row_number()`, `dense_rank()`, `percent_rank()`, `cume_dist()`, `ntile()`
## See you in [R#5: Pipping and grouping](http://perso.ens-lyon.fr/laurent.modolo/R/session_5/)
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+# To go further: Data transformation and color sets.
+
+There are a number of color palettes available in R, thanks to different packages such as `RColorBrewer`, `Viridis` or `Ghibli`.
+We will use them here to decorate our graphs, either on data already studied in the training, `mpg`, or on more specialized data such as lists of differentially expressed genes ( GSE86356 )
+
+```{r install_colorPal, eval=F}
+install.packages(c("ghibli", "RColorBrewer", "viridis"))
+```
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--
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