Hi,
May be this helps.
dat1<- structure(list(trialnumber = 1:9, Control = c(0L, 1L, 0L, 0L,
1L, 0L, 1L, 0L, 0L), HC = c(0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L
), LC = c(1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L), pleasantness = c(3L,
3L, 2L, 2L, 3L, 4L, 3L, 3L, 2L)), .Names = c("trialnumber", "Control",
"HC", "LC", "pleasantness"), class = "data.frame", row.names = c(NA,
-9L))
library(reshape2)
res<- melt(dat1,id.vars=c("trialnumber","pleasantness"))
colnames(res)[3]<- "type"
A.K.
I have an experiment where people get to see a picture which is a
control, HC or LC picture. They then have to rate its pleasantness.
I tried to change the data so that I would get one column (for example "type"
with 3 groups) instead of the 3 separate columns.
Can anyone help me out?
Thanks
trialnumber Control HC LC pleasantness
1 0 0 1 3
2 1 0 0 3
3 0 1 0 2
4 0 1 0 2
5 1 0 0 3
6 0 0 1 4
7 1 0 0 3
8 0 0 1 3
9 0 1 0 2
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