Thanks! *Ben Caldwell*
On Tue, Oct 9, 2012 at 10:18 AM, R. Michael Weylandt < michael.weyla...@gmail.com> wrote: > > > 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> 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> >> > To: r-help <r-help@r-project.org> >> > 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]] >> > >> > ______________________________________________ >> > 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. >> > >> > >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> 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. >> > [[alternative HTML version deleted]] ______________________________________________ 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.