Reputation: 63
this is my first time posting and i am new to R, so please help me out :)
I have 2 data frames. There are some columns present in both data frames but some columns are present in only 1 data frame. I wish to identify and retain the columns present in both data frames and drop the columns present in any 1 data frame. How can I do this?
> df1 <- data.frame(a=c(1,2,3,4,5),b=c(2,4,6,8,10),c=c(3,6,9,12,15),x=c(4,8,12,16,20),y=c(5,10,15,20,25))
> df2 <- data.frame(b=c(1,5,10),c=c(2,6,11),y=c(3,7,12),z=c(4,8,13))
> view(df1)
a b c x y
1 2 3 4 5
2 4 6 8 10
3 6 9 12 15
4 8 12 16 20
5 10 15 20 25
> view(df2)
b c y z
1 2 3 4
5 6 7 8
10 11 12 13
> view(df1)
b c y
2 3 5
4 6 10
6 9 15
8 12 20
10 15 25
> view(df2)
b c y
1 2 3
5 6 7
10 11 12
Upvotes: 2
Views: 188
Reputation: 887028
We can use intersect
to get the column names that are common in both datasets. Subset the dataset using this index.
nm1 <- intersect(names(df1), names(df2))
df1[nm1]
df2[nm2]
Upvotes: 4