From 6a6e08fafd48954042cc9702a20c0a8fbf03f552 Mon Sep 17 00:00:00 2001
From: Laurent Modolo <laurent.modolo@ens-lyon.fr>
Date: Mon, 27 Sep 2021 10:34:21 +0200
Subject: [PATCH] add link between session 1 to 6
---
session_1/session_1.Rmd | 2 +-
session_2/session_2.Rmd | 2 ++
session_3/session_3.Rmd | 1 +
session_4/session_4.Rmd | 2 ++
session_5/session_5.Rmd | 2 ++
session_6/session_6.Rmd | 4 +++-
6 files changed, 11 insertions(+), 2 deletions(-)
diff --git a/session_1/session_1.Rmd b/session_1/session_1.Rmd
index 8078457..83fb4f4 100644
--- a/session_1/session_1.Rmd
+++ b/session_1/session_1.Rmd
@@ -758,4 +758,4 @@ unloadNamespace("ggplot2")
sessionInfo()
```
-##See you in [Session 2 : "Introduction to Tidyverse"](session_2.html)
+## See you in [Session 2 : "Introductionto Tidyverse"](http://perso.ens-lyon.fr/laurent.modolo/R/session_2/)
diff --git a/session_2/session_2.Rmd b/session_2/session_2.Rmd
index fe15a3c..252e010 100644
--- a/session_2/session_2.Rmd
+++ b/session_2/session_2.Rmd
@@ -500,6 +500,8 @@ ggplot(data = mpg, mapping = aes(x = displ, y = hwy, color = drv)) +
</p>
</details>
+## See you in [R.3: Transformations with ggplot2](http://perso.ens-lyon.fr/laurent.modolo/R/session_3/)
+
# To go further: publication ready plots
Once you have created the graph you need for your publication, you have to save it.
diff --git a/session_3/session_3.Rmd b/session_3/session_3.Rmd
index a0eff57..6b2767b 100644
--- a/session_3/session_3.Rmd
+++ b/session_3/session_3.Rmd
@@ -343,3 +343,4 @@ ggplot(data = diamonds, mapping = aes(x = cut, fill = cut)) +
By combining the right **geom**, **coordinates** and **faceting** functions, you can build a large number of different plots to present your results.
+## See you in [R.4: data transformation](http://perso.ens-lyon.fr/laurent.modolo/R/session_4/)
diff --git a/session_4/session_4.Rmd b/session_4/session_4.Rmd
index ecf70e9..84e86ea 100644
--- a/session_4/session_4.Rmd
+++ b/session_4/session_4.Rmd
@@ -410,3 +410,5 @@ mutate(
- Cumulative and rolling aggregates: R provides functions for running sums, products, mins and maxes: `cumsum()`, `cumprod()`, `cummin()`, `cummax()`; and dplyr provides `cummean()` for cumulative means.
- Logical comparisons, `<`, `<=`, `>`, `>=`, `!=`, and `==`
- 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/)
diff --git a/session_5/session_5.Rmd b/session_5/session_5.Rmd
index 4cdef13..587f923 100644
--- a/session_5/session_5.Rmd
+++ b/session_5/session_5.Rmd
@@ -394,3 +394,5 @@ flights %>%
```
</p>
</details>
+
+## See you in [R.6: tidydata](http://perso.ens-lyon.fr/laurent.modolo/R/session_6/)
diff --git a/session_6/session_6.Rmd b/session_6/session_6.Rmd
index 2f6fbde..a0c6f32 100644
--- a/session_6/session_6.Rmd
+++ b/session_6/session_6.Rmd
@@ -134,7 +134,7 @@ table2 %>%
Sometime the information can be split between different table
-```{r airlines, eval=F, echo = T}
+```{r airlines, eval=T, echo = T}
library(nycflights13)
flights
airlines
@@ -243,3 +243,5 @@ These expect the x and y inputs to have the same variables, and treat the observ
- `intersect(x, y)`: return only observations in both `x` and `y`.
- `union(x, y)`: return unique observations in `x` and `y`.
- `setdiff(x, y)`: return observations in `x`, but not in `y`.
+
+## See you in [R.7: String & RegExp](http://perso.ens-lyon.fr/laurent.modolo/R/session_7/)
--
GitLab