How to select rows that match the values in a vector - r

Question

This is likely a very simple question, maybe even already answered, but I couldn't find it.
I have two data frames. For simplicity, I'll call them all and index. all will have many columns, one of which I'll call match. index also has many (other) columns, including match. I want to have the rows from all that have a match value that matches match in index. Therefore, as a dummy data:
all <- data.frame(match = sample(LETTERS, 20),
otherStuff = rnorm(20))
index <- data.frame(match = sample(LETTERS, 20),
moreStuff = rnorm(20))
I've tried the following:
all[all$match == index$match,]
But this works very badly:
> all[all$match == index$match,]
match otherStuff
3 C -0.6030772
Warning message:
In all$match == index$match :
longer object length is not a multiple of shorter object length
As you can see, it gives this warning and, it seems, only considers matches in the same position (in this case, C was the third element in both cases).
After that, I tried something similar with filter(), from dplyr, just to give it a chance. As I expected, it didn't work. I tried some other things (less logical, actually a little to desperate and nonsense to even comment here), all of which seemed crazy from the getgo. I really don't know what to do here...

Answer 1

Another solution is by using match:
Data:
set.seed(123)
all <- data.frame(match = sample(LETTERS, 10),
otherStuff = rnorm(10))
index <- data.frame(match = sample(LETTERS, 10),
moreStuff = rnorm(10))
Solution:
all[match(index$match, all$match, nomatch = 0),]
match otherStuff
10 Z -0.5558411
5 W -0.4456620
8 Q 0.4007715
6 A 1.2240818
7 K 0.3598138