I\'m using a data frame similar to this one:
df<-data.frame(student=c(rep(1,5),rep(2,5)), month=c(1:5,1:5),
quiz1p1=seq(20,20.9,0.1),quiz1p2=seq(3
Here's how you could do this with reshape()
, from base R:
df2 <- reshape(df, direction="long",
idvar = 1:2, varying = list(c(3,5), c(4,6)),
v.names = c("p1", "p2"), times = c("quiz1", "quiz2"))
## Checking the output
rbind(head(df2, 3), tail(df2, 3))
# student month time p1 p2
# 1.1.quiz1 1 1 quiz1 20.0 30.0
# 1.2.quiz1 1 2 quiz1 20.1 30.1
# 1.3.quiz1 1 3 quiz1 20.2 30.2
# 2.3.quiz2 2 3 quiz2 80.7 90.7
# 2.4.quiz2 2 4 quiz2 80.8 90.8
# 2.5.quiz2 2 5 quiz2 80.9 90.9
You can also use column names (instead of column numbers) for idvar
and varying
. It's more verbose, but seems like better practice to me:
## The same operation as above, using just column *names*
df2 <- reshape(df, direction="long", idvar=c("student", "month"),
varying = list(c("quiz1p1", "quiz2p1"),
c("quiz1p2", "quiz2p2")),
v.names = c("p1", "p2"), times = c("quiz1", "quiz2"))