course
/
r4ds
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Fix merge conflict

This commit is contained in:
hadley 2016-07-31 11:47:51 -05:00
parent c4168bbd37
commit d58ce97ea4
1 changed files with 1 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
EDA.Rmd
View File

@ -427,13 +427,7 @@ Then visualise with `geom_tile()` and the fill aesthetic:
diamonds %>%
count(color, cut) %>%
ggplot(mapping = aes(x = color, y = cut)) +
<<<<<<< HEAD
geom_tile(aes(fill = n))
||||||| merged common ancestors
geom_tile(aes(fill = n))
=======
geom_tile(mapping = aes(fill = n))
>>>>>>> 3eb371e1111d5ec11bacc14d8b4d38208a055bed
geom_tile(mapping = aes(fill = n))
```
If the categorical variables are unordered, you might want to use the seriation package to simultaneously reorder the rows and columns in order to more clearly reveal interesting patterns. For larger plots, you might want to try the d3heatmap or heatmaply packages, which create interactive plots.