[Forwarding on behalf of a colleague]
She's got a list with several tables:
> tab <- list()
> for(i in 1:6) {
+ tab[[i]] <- table(freq[i])
+ }
> tab
[[1]]
0 0.17 0.3 0.5 1 2.5 3 4
196 2 5 1 5 2 5 2
[[2]]
0 0.17 0.3 1 2.5 3 4
199 1 3 6 2 6 1
[[3]]
0 0.5
217 1
[[4]]
0 2.5
216 2
[[5]]
0 0.17 0.3 0.5 1 2.5 3 4
207 1 1 1 1 2 4 1
[[6]]
0 0.17 3
216 1 1
And would like to convert to a data frame, like:
0 0.17 0.3 0.5 1
196 2 5 1 5
199 1 3 0 6
217 0 0 1 0
[snip]
Basically down the columns she'd like to have the counts. But because each
table in the list has got different number of columns, I've been unable to
convert them into a data frame for her.
Any help would be greatly appreciated!
Cheers,
Kevin
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