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.

Thanks for your help!

### >Solution :

Please try the below code where we can accomplish the expected result using pivot_longer ,pivot_wider and column_to_rownames

```
data_transformed <- data %>% pivot_longer(c('measurment1','measurment2','measurment3')) %>%
mutate(rows=paste0(name,'_',subject)) %>%
pivot_wider(rows, names_from = 'rater', values_from = 'value') %>%
column_to_rownames(var="rows")
```