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Peter’s R — transpose a tibble
Sometimes you need to transpose a tibble, e.g. for better presentation of the data.
Assume this tibble:
df <- tibble(department = c(“hand”,”orth”,”shoulder”,”foot”),
y2018 = c(510,1200,580,610),
y2019 = c(520,1100,680,510),
y2020 = c(530,1150,610,580),
y2021 = c(580,1190,650,710))
This tibble results from diverse filtering and counting operations. They give the sum of operations by department for the last four years. To achieve better clearness I want them with the department as columns. There is no command as „t“ for matrices which works on tibbles. We need a workaround to transpose the tibble.
We can do this using pivot_longer and pivot_wider
This a two-step procedure. Pivot_longer „lengthens“ the tibble.
df.long<- df %>% pivot_longer(cols= -1)
Instead of explicitly naming the columns I want to lengthen
pivot_longer(cols = c(y2018:y2021)) we exclude the first column : cols = -1. Details about selection of columns are available here: tidyselect