I have two data frames. The first looks like this:
value <- seq(1, 100, length.out=20)
df1 <- data.frame(id=as.character(1:20),
valu
Using data.table:
require(data.table)
dt1 <- data.table(df1, key="id")
dt2 <- data.table(df2)
dt1[dt2$id, value]
# id value
# 1: 1 1.000000
# 2: 2 6.210526
# 3: 3 11.421053
# 4: 4 16.631579
# 5: 5 21.842105
# 6: 21 NA
# 7: 22 NA
# 8: 23 NA
or using base merge as @TheodoreLytras mentioned under comment:
# you don't need to have `v2` column in df2
merge(df2, df1, by="id", all.x=T, sort=F)
# id v2 value
# 1 1 NA 1.000000
# 2 2 NA 6.210526
# 3 3 NA 11.421053
# 4 4 NA 16.631579
# 5 5 NA 21.842105
# 6 21 NA NA
# 7 22 NA NA
# 8 23 NA NA