Reputation: 387
I have the dataset below that I want to tidy up.
user_id topic may june july august september october
1 192775 talk 2 0 0 2 2 1
2 192775 walk 165 123 128 146 113 105
3 192775 bark 0 0 0 0 0 0
4 192775 harp 0 0 0 0 0 1
I want to use tidyr to shape into the below format.
user_id month talk walk bark harp
192775 may 2 165 0 0
192775 june 0 123 0 0
Any help is appreciated
Upvotes: 3
Views: 109
Reputation: 83275
With:
library(tidyr)
df %>% gather(month, val, may:october) %>% spread(topic, val)
you get:
user_id month bark harp talk walk 1 192775 august 0 0 2 146 2 192775 july 0 0 0 128 3 192775 june 0 0 0 123 4 192775 may 0 0 2 165 5 192775 october 0 1 1 105 6 192775 september 0 0 2 113
Another option is to use recast
from the reshape2
-package:
library(reshape2)
recast(df, user_id + variable ~ topic, id.var = c('user_id','topic'))
Upvotes: 5