# Rearranging data according to rater and subject, simultaneously creating new row names

I have a dataset where multiple raters rate multiple subjects.

I’d like to rearrange the data that looks like this:

``````data <- data.frame(rater=c("A", "B", "C", "A", "B", "C"),
subject=c(1, 1, 1, 2, 2, 2),
measurment1=c(1, 2, 3, 4, 5,6),
measurment2=c(11, 22, 33, 44, 55,66),
measurment3=c(111, 222, 333, 444, 555, 666))

data
#     rater   subject  measurment1 measurment2 measurment3
# 1     A       1           1          11         111
# 2     B       1           2          22         222
# 3     C       1           3          33         333
# 4     A       2           4          44         444
# 5     B       2           5          55         555
# 6     C       2           6          66         666

``````

into data that looks like this:

``````data_transformed <- data.frame( A = c(1,11,111,4,44,444),
B = c(2,22,222,5,55,555),
C = c(3,33,333,6,66,666)
)

row.names(data_transformed) <- c("measurment1_1", "measurment2_1", "measurment3_1", "measurment1_2", "measurment2_2", "measurment3_2")

data_transformed
#                 A   B   C
# measurment1_1   1   2   3
# measurment2_1  11  22  33
# measurment3_1 111 222 333
# measurment1_2   4   5   6
# measurment2_2  44  55  66
# measurment3_2 444 555 666
``````

In the new data frame, the raters (A, B and C) should become the columns. The measurement should become the rows and I’d also like to add the subject number as a suffix to the row-names.

For the rearranging one could probably use the pivot functions, yet I have no idea on how to combine the measurement-variables with the subject number.

``````data_transformed <- data %>% pivot_longer(c('measurment1','measurment2','measurment3')) %>%