Does this do what you want:
> list <- list(A=1:4, B=1:6, C=1:9)
> result <- lapply(names(list), function(x){
+ data.frame(name = x
+ , length = length(list[[x]])
+ , gt5 = sum(list[[x]] > 5)
+ , lt5 = sum(list[[x]] < 5)
+ )
+ })
> do.call(rbind, result)
name length gt5 lt5
1 A 4 0 4
2 B 6 1 4
3 C 9 4 4
On Wed, Feb 8, 2012 at 10:18 AM, Johannes Radinger <jradin...@gmx.at> wrote:
> Hi,
>
>> Try
>>
>> list <- list(1:4, 1:6, 1:9)
>> t(sapply(list, function(x) c(length(x), sum(x > 5), sum(x < 5))))
>>
>
> thank you...the sapply approach seems straight forward, although I don't get
> the names into an own column... When the list elements are named the name is
> used for the rownames. I'd like to have them as an own column and no row
> names...
>
> like for the list:
> list <- list(A=1:4, B=1:6, C=1:9)
> t(sapply(list, function(x) c(length(x), sum(x > 5), sum(x < 5))))
>
> /Johannes
>
>> HTH,
>> Jorge.-
>>
>>
>> On Wed, Feb 8, 2012 at 8:50 AM, Johannes Radinger <> wrote:
>>
>> > Hi,
>> > I want to "melt" my list and get certain deskriptive factors (length of
>> a
>> > vector etc.) into a dataframe. Best to describe it with an example:
>> >
>> > A <- seq(4)
>> > B <- seq(6)
>> > C <- seq(9)
>> >
>> > ls <- list(A,B,C) # this is my list with vectors of different length
>> >
>> > # thats the dataframe how it should look like:
>> > name length(x) length(x[x>5]) length(x[x<5])
>> > A 4 0 4
>> > B 6 1 4
>> > C 9 4 4
>> >
>> > How can that be achieved?
>> >
>> >
>> > /johannes
>> > --
>> >
>> > ______________________________________________
>> > R-help@r-project.org mailing list
>> > https://stat.ethz.ch/mailman/listinfo/r-help
>> > PLEASE do read the posting guide
>> > http://www.R-project.org/posting-guide.html
>> > and provide commented, minimal, self-contained, reproducible code.
>> >
>
> --
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> 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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and provide commented, minimal, self-contained, reproducible code.
