Using tidyr
:
library(tidyr)
a %>%
pivot_longer(cols = Yr1:Yr3, names_to = 'Yr') %>%
pivot_wider(names_from = Typ, values_from = value)
# name Yr One Two Three Four
# <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#1 AFG Yr1 10 11 12 14
#2 AFG Yr2 1 2 3 4
#3 AFG Yr3 8 9 10 11
#4 GER Yr1 15 17 18 19
#5 GER Yr2 5 6 7 8
#6 GER Yr3 12 13 14 15
#7 GFR Yr1 88 1 39 1
#8 GFR Yr2 9 10 11 12
#9 GFR Yr3 16 17 18 19
Using data.table
:
dcast(melt(setDT(a), measure.vars = c('Yr1', 'Yr2', 'Yr3')),
name+variable~Typ, value.var = 'value')
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