I currently have this variable 'q1', which is based on a likert scale. Currently a 1 corresponds to 'Always', 2 corresponds to 'Most of the time', 3 corresponds to 'Sometimes', 4 corresponds to 'Rarely', and 5 corresponds to 'Never'.
I want to reverse code this variable so that 1 corresponds to 'Never', 2 corresponds to 'Rarely', 3 corresponds to 'Sometimes', 4 corresponds to 'Most of the time', and 5 corresponds to 'Always'. This will be more consistent with the other variables and their coding scheme.
Thanks!
> dput(df$q1)
c(3L, 4L, 3L, 3L, 4L, 3L, 3L, 5L, 3L, 3L, 3L, 3L, 4L, 3L, 5L,
2L, 3L, 2L, 3L, 4L, 1L, 4L, 4L, 4L, 1L, 1L, 4L, 1L, 2L, 3L, 1L,
CodePudding user response:
Try the plyr
package's mapvalues()
function
library(plyr)
# Your data
q1<-c(3L, 4L, 3L, 3L, 4L, 3L, 3L, 5L, 3L, 3L, 3L, 3L, 4L, 3L, 5L,
2L, 3L, 2L, 3L, 4L, 1L, 4L, 4L, 4L, 1L, 1L, 4L, 1L, 2L, 3L, 1L)
mapvalues(q1,
from=c(1:5),
to=c('Never',
'Rarely',
'Sometimes',
'Most of the time',
'Always'))