Given the example data, I'd like to spread
a subset of the key-value
pairs. In this case it is just one pair. However there are other cases where the subset to be spread
is more than one pair.
library(tidyr)
# dummy data
> df1 <- data.frame(e = c(1, 1, 1, 1),
n = c("a", "b", "c", "d") ,
s = c(1, 2, 5, 7))
> df1
e n s
1 1 a 1
2 1 b 2
3 1 c 5
4 1 d 7
Classical spread of all key-value pairs:
> df1 %>% spread(n,s)
e a b c d
1 1 1 2 5 7
Desired output, spread only n=c
e c n s
1 1 5 a 1
2 1 5 b 2
3 1 5 d 7
We can do a gather
after the spread
df1 %>%
spread(n, s) %>%
gather(n, s, -c, -e)
# e c n s
#1 1 5 a 1
#2 1 5 b 2
#3 1 5 d 7
Or instead of spread/gather
, we filter
without the 'c' row and then mutate
to create the 'c' column while subsetting the 's' that corresponds to 'c'
df1 %>%
filter(n != "c") %>%
mutate(c = df1$s[df1$n=="c"])