Is this what you are after:
> more<-c('R is a free software environment for statistical computing',
+ 'It compiles and runs on a wide variety of UNIX platforms')
> result<-strsplit(more,' ')
> result
[[1]]
[1] "R" "is" "a" "free" "software"
"environment" "for"
[8] "statistical" "computing"
[[2]]
[1] "It" "compiles" "and" "runs" "on" "a"
"wide" "variety"
[9] "of" "UNIX" "platforms"
> # determine the longest length to which to pad
> maxLen <- max(sapply(result, length))
> # now pad the vectors in the list
> newResult <- lapply(result, function(x) c(x, rep(NA, maxLen - length(x))))
> # now create your matrix
> newDF <- do.call(data.frame, newResult)
> # add short names
> names(newDF) <- paste("V", seq_len(length(result)), sep = '')
> str(newDF)
'data.frame': 11 obs. of 2 variables:
$ V1: Factor w/ 9 levels "a","computing",..: 7 6 1 5 8 3 4 9 2 NA ...
$ V2: Factor w/ 11 levels "a","and","compiles",..: 4 3 2 8 6 1 11 10 5 9 ...
> newDF
V1 V2
1 R It
2 is compiles
3 a and
4 free runs
5 software on
6 environment a
7 for wide
8 statistical variety
9 computing of
10 <NA> UNIX
11 <NA> platforms
>
On Sun, Jan 8, 2012 at 9:43 AM, Dan Abner <dan.abne...@gmail.com> wrote:
> Hello everyone,
>
> What is the most efficient & simpliest way to convert all components of a
> list to separate columns in a matrix?
>
> Is there an easy way to programmatically "pad" the length of the resulting
> shorter character vectors so that they can be easily combined into a data
> frame?
>
> I have the following code that stores the 2 compoents (of differing
> lengths) in the same character vector:
>
> more<-c('R is a free software environment for statistical computing',
> 'It compiles and runs on a wide variety of UNIX platforms')
> result<-strsplit(more,' ')
> result
> mode(result)
> class(result)
> sapply(result,length)
> result2<-unlist(result)
> result2
> mode(result2)
> class(result2)
>
> Thank you,
>
> Dan
>
> [[alternative HTML version deleted]]
>
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
--
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
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