On Tuesday, October 9, 2012, Benjamin Caldwell wrote:
> Thanks Arun - the different lengths in the list elements was the sticking
> point. Does anyone have suggestions for packages or R books on indexing/
> reshaping datasets for an intermediate user like myself?
Perhaps Spector on Data Manipulation in R
Cheer
cheers, rmw
>
> *Ben Caldwell*
>
>
>
>
> On Mon, Oct 8, 2012 at 3:26 PM, arun <smartpink...@yahoo.com<javascript:;>>
> wrote:
>
> > Hi,
> >
> > Your output suggests that the list elements have unequal lengths. The
> > empty spaces will be occupied by NAs.
> > I am using the first three list elements from the tapply() output:
> >
> > list1<-list(c(2.8546, 4.0778, 5.2983, 6.3863, 7.5141, 8.5498,
> 9.5839,
> > 10.6933),c(7.6810, 8.7648, 9.8382, 10.8903, 11.9840, 13.0541, 14.1132,
> > 15.1657),c(22.0840, 30.3001, 35.2505, 42.8085, 48.5220, 52.0604, 57.9428,
> > 61.4930,
> > 64.4550, 67.3543, 69.8435, 72.9508, 74.4730, 76.3104))
> > names(list1)<-c("SNRL1Core120","SNRL1Core230","VAL1.1.1NA.na30")
> >
> > fun1<-function(x){
> > na.pad<-function(y,len){
> > c(y,rep(NA,len-length(y)))
> > }
> > maxlen<-max(sapply(x,length))
> > do.call(data.frame,lapply(x,na.pad,len=maxlen))
> > }
> > fun1(list1)
> > A.K.
> >
> >
> >
> >
> >
> >
> >
> > ----- Original Message -----
> > From: Benjamin Caldwell <btcaldw...@berkeley.edu <javascript:;>>
> > To: r-help <r-help@r-project.org <javascript:;>>
> > Cc:
> > Sent: Monday, October 8, 2012 5:49 PM
> > Subject: [R] turn list into dataframe
> >
> > Dear R users,
> >
> > I'm starting to use 'apply' functions rather than for loops in R, and
> > sometimes the output is a bit different than what I want. In this case,
> the
> > command was
> >
> >
> > tapply(myvector,myindex,cumsum)
> >
> > And the output was something like this:
> >
> > $`SNRL1 Core 120`
> > [1] 2.8546 4.0778 5.2983 6.3863 7.5141 8.5498 9.5839 10.6933
> >
> > $`SNRL1 Core 230`
> > [1] 7.6810 8.7648 9.8382 10.8903 11.9840 13.0541 14.1132 15.1657
> >
> > $`VAL 1.1.NA.na30`
> > [1] 22.0840 30.3001 35.2505 42.8085 48.5220 52.0604 57.9428 61.4930
> > 64.4550 67.3543 69.8435 72.9508 74.4730 76.3104
> >
> > $`VAL 1.2.NA.na15`
> > [1] 33.8895 38.7440 41.0536 44.1581 46.4891 48.3130 51.0973 52.9241
> > 54.6404 56.1265 57.5064 59.0745
> >
> > $`VAL 1.2.NA.na30`
> > [1] 6.6408 10.6838 13.8328 15.5435 18.3037 20.3315 22.8817 24.4481
> > 26.4106 27.6658 29.6455 30.8490 31.8680
> >
> > $`VAL 1.3.NA.na10`
> > [1] 4.8198 7.1274 8.9536 11.5954 14.0845 15.5116 16.9462 18.1269
> > 19.3453 20.5723 21.7122 22.8643
> >
> > $`VAL 1.3.NA.na20`
> > [1] 5.7382 8.2056 9.4489 10.8225 12.3497 13.6879 15.1077 16.3229
> >
> > ,
> > That's fine, but I need the output as a dataframe. I'm not even sure what
> > to call this list, but it has multiple entries for each item.
> >
> > Forgive the fact that I don't have the data for you to use, I'm wondering
> > if anyone knows about a pre-existing function that will allow be to turn
> > the above list form into a dataframe. Thanks
> >
> >
> > *Ben Caldwell*
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
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> >
> >
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
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