Question

I have two data.frames. For examples sake let’s say they look like this:

df1 <- data.frame(x=rep(letters[1:26], 16))
df2 <- data.frame(y=letters[1:4])

What I would like to do is subset ‘df1’ to contain the rows whose first column value matches any value within the first column of ‘df2’.

Now, I’ve tried:

subset(df1, df1$x == df2$y)

But this tells me that I need equally sized data.frames. Thoughts?

Answer 1

Both %in% and match() can be used for this. Here is the former:

> which( df1$x %in% df2$y )
 [1]   1   2   3   4  27  28  29  30  53  54  55  56  79  80  81  82 105
[18] 106 107 108 131 132 133 134 157 158 159 160 183 184 185 186 209 210
[35] 211 212 235 236 237 238 261 262 263 264 287 288 289 290 313 314 315
[52] 316 339 340 341 342 365 366 367 368 391 392 393 394
> 
>
> table(df1[ which( df1$x %in% df2$y ), "x"])

 a  b  c  d  e  f  g  h  i  j  k  l  m  n  o  p  q  r  s  t  u  v  w  x  y 
16 16 16 16  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0 
 z 
 0 
>