I have a data frame such as data
data = data.frame(ID = as.factor(c("A", "A", "B","B","C","C")),
var.color= as.factor(c("red", "blue", "green", "red", "green", "yellow")))
I wonder whether it is possible to get the levels of each group in ID
(eg A
, B
, C
) and create a variable that pastes them. I have attempted to do so by running the following:
data %>% group_by(ID) %>%
mutate(ex = paste(droplevels(var.color), sep = "_"))
That yields:
Source: local data frame [6 x 3]
Groups: ID [3]
ID var.color ex
<fctr> <fctr> <chr>
1 A red red
2 A blue blue
3 B green red
4 B red red
5 C green green
6 C yellow yellow
However, my desired data.frame
should be something like:
ID var.color ex
<fctr> <fctr> <chr>
1 A red red_blue
2 A blue red_blue
3 B green green_red
4 B red green_red
5 C green green_yellow
6 C yellow green_yellow
Basically, you need collapse
instead of sep
Instead of dropping levels , you can just paste the text together grouped by ID
library(dplyr)
data %>% group_by(ID) %>%
mutate(ex = paste(var.color, collapse = "_"))
# ID var.color ex
# <fctr> <fctr> <chr>
#1 A red red_blue
#2 A blue red_blue
#3 B green green_red
#4 B red green_red
#5 C green green_yellow
#6 C yellow green_yellow
You can do the same by using loops
for(i in unique(data$ID)){
data$ex[data$ID==i] <- paste0(data$var.color[data$ID==i], collapse = "_")
}
> data
ID var.color ex
1 A red red_blue
2 A blue red_blue
3 B green green_red
4 B red green_red
5 C green green_yellow
6 C yellow green_yellow
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.