I have a table read in R as follows:
column1 column2
A B
What is the command to be used to match two columns together as follows?
My personal favourite involves making use of the unite in tidyr
:
set.seed(1)
df <- data.frame(colA = sample(LETTERS, 10),
colB = sample(LETTERS, 10))
# packs: pipe + unite
require(magrittr); require(tidyr)
# Unite
df %<>%
unite(ColAandB, colA, colB, remove = FALSE)
> head(df, 3)
ColAandB colA colB
1 G_F G F
2 J_E J E
3 N_Q N Q
Personally, I find the remove = TRUE / FALSE
functionality of unite very useful. In addition tidyr
firs the dplyr
workflow very well and plays well with separate in case you change your mind about the columns being merged. On the same lines, if NA
s are the problem introducing na.omit
to your workflow would enable you to conveniently drop the undesirable rows before creating the desired column.
I'm a bit unsure what you mean by "merge", but is this what you mean?
> DF = data.frame(A = LETTERS[1:10], B = LETTERS[11:20])
> DF$C = paste(DF$A, DF$B, sep="_")
> head(DF)
A B C
1 A K A_K
2 B L B_L
3 C M C_M
4 D N D_N
Or equivalently, as @daroczig points out:
within(DF, C <- paste(A, B, sep='_'))