问题描述
我有一个包含 4 个变量、月份、国家、事件类型和 n 的数据集，如下所示，事件类型包括 6 个不同的因素。我想将它们转换为变量作为新列，并且每个变量都应包含 n。非常感谢任何指导！
month country event_type n
Apr-2018 Afghanistan Battles 1648
Apr-2018 Afghanistan Explosions/Remote violence 683
Apr-2018 Afghanistan Protests 30
Apr-2018 Afghanistan Riots 2
Apr-2018 Afghanistan Strategic developments 31
Apr-2018 Afghanistan Violence against civilians 44
Apr-2018 Colombia Battles 90
Apr-2018 Colombia Explosions/Remote violence 20
Apr-2018 Colombia Protests 7
Apr-2018 Colombia Strategic developments 64
Apr-2018 Colombia Violence against civilians 148
Apr-2018 India Battles 152
Apr-2018 India Explosions/Remote violence 50
Apr-2018 India Protests 1347
Apr-2018 India Riots 592
Apr-2018 India Strategic developments 18
例如；
Month Country Battle Explosions.. Protests Riots Strategic development
Apr-2018 Afghanistan 1648 683 30 2 31
解决方法
从这个子集开始：
> print(data)
# A tibble: 6 x 4
month country event_type n
<chr> <chr> <chr> <dbl>
1 Apr-2018 Afghanistan Battles 1648
2 Apr-2018 Afghanistan Explosions/Remote violence 683
3 Apr-2018 Afghanistan Protests 30
4 Apr-2018 Afghanistan Riots 2
5 Apr-2018 Afghanistan Strategic developments 31
6 Apr-2018 Afghanistan Violence against civilians 44
使用pivot_wider
library(tidyverse)
data_wide <- data %>% pivot_wider(names_from = event_type,values_from = n)
哪个返回：
> print(data_wide)
# A tibble: 1 x 8
month country Battles `Explosions/Remote violence` Protests Riots `Strategic developments` `Violence against civilians`
<chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 Apr-2018 Afghanistan 1648 683 30 2 31 44