3 回答

TA貢獻(xiàn)1777條經(jīng)驗(yàn) 獲得超10個(gè)贊
reshape(my.df,
idvar = "ID",
timevar = "TIME",
direction = "wide")
施予
ID X.1 Y.1 X.2 Y.2 X.3 Y.3 X.4 Y.4 X.5 Y.5
1 A 1 16 4 19 7 22 10 25 13 28
2 B 2 17 5 20 8 23 11 26 14 29
3 C 3 18 6 21 9 24 12 27 15 30

TA貢獻(xiàn)1831條經(jīng)驗(yàn) 獲得超4個(gè)贊
data.table_1.9.5
melt
value.var
here
library(data.table)
dcast(setDT(my.df), ID~TIME, value.var=c('X', 'Y'))
# ID 1_X 2_X 3_X 4_X 5_X 1_Y 2_Y 3_Y 4_Y 5_Y
#1: A 1 4 7 10 13 16 19 22 25 28
#2: B 2 5 8 11 14 17 20 23 26 29
#3: C 3 6 9 12 15 18 21 24 27 30
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