Мы можем использовать reshape
из base R
, указав столбцы для объединения в list
из vector
с
out <- reshape(df1, direction = 'long',
varying = list(c('a', 'd', 'g'), c('b', 'e', 'h'),
c('c', 'f', 'i')))[c('a', 'b', 'c')]
row.names(out) <- NULL
out
# a b c
#1 1 t p
#2 2 e h
#3 3 f g
#4 1 h p
#5 2 j m
#6 3 k l
#7 1 v g
#8 2 c f
#9 3 b d
Или используя melt
из data.table
library(data.table)
melt(setDT(df1), measure = list(c('a', 'd', 'g'), c('b', 'e', 'h'),
c('c', 'f', 'i')), value.name = c('a', 'b', 'c'))[, variable := NULL][]
данные
df1 <- structure(list(a = 1:3, b = c("t", "e", "f"), c = c("p", "h",
"g"), d = 1:3, e = c("h", "j", "k"), f = c("p", "m", "l"), g = 1:3,
h = c("v", "c", "b"), i = c("g", "f", "d")),
class = "data.frame", row.names = c("1",
"2", "3"))