similar to: List to Data Frame

Hi, Now suppose I have just one list called FOO, which has 25 objects, e.g.: [[1]] 1 2 3 4 5 [[2]] 6 7 8 9 10 . . . And I want to do something like: FRED <- data.frame(cbind(unlist(FOO[[1]]), unlist(FOO[[2]]), # ... for all 25 subsets )) Is it possible to do this, without doing unlist(FOO[[i]]) 25

Dear Alan On 12/10/2014 01:27 AM, Alan Bartlett wrote: > On 9 December 2014 at 13:50, Ho Lee <huanying2000a at gmail.com> wrote: >> My wiki username is HoLee . >> >> Could I gain access to these Simplified Chinese Frontpage? > I like the idea of having more than one person looking after a > particular language translation and your offer to assist with

On 10 December 2014 at 09:35, Timothy Lee <timothy.ty.lee at gmail.com> wrote: > Dear Alan > > On 12/10/2014 01:27 AM, Alan Bartlett wrote: >> >> On 9 December 2014 at 13:50, Ho Lee <huanying2000a at gmail.com> wrote: >>> >>> My wiki username is HoLee . >>> >>> Could I gain access to these Simplified Chinese Frontpage?

Hi,Alan, I have learned some editing skills. But I find that I can only edit this page http://wiki.centos.org/zh/FrontPage It's seems that there are some problems. HoLee On Wed, Dec 10, 2014 at 11:24 PM, Alan Bartlett <ajb at elrepo.org> > > > Assuming that I have made the correct adjustment (the /zh/ pages are > Simplifed Chinese and /zh-tw/ pages are Traditional

Someone has given me a data set that produces a failure with all the hallmarks of a memory overrun in a C routine. I've tried running it under an instrumented version of R with valgrind and don't catch anything. I do get one error message out though: ==642== Warning: set address range perms: large range [0x3901d040, 0x3f2ae7070) (undefined) Can anyone shed light on what this means?

The coxph function in R is not working for me when I use a continuous predictor in the model. Specifically, it fails to converge, even when bumping up the number of max iterations or setting reasonable initial values. The estimated Hazard ratio from the model is incorrect (verified by an AFT model). I've isolated it to the "x1" variable in the example below, which is log-normally

Hi folks, Can anyone share some accumulated wisdom about the best way to spec mixins in general, and (Jamis Buck-style) ActiveRecord "concerns" in particular? The standard situation here is that there''s a bunch of functionality, related by concept if not by implementation, that one wants to inherit in many different classes (e.g. ActiveRecord models) without having to

Hi all, Tnx for the varied suggestions.? I tried the "cleaned up code" John suggested with the same Mutate error message No clue why an asterisk * was added to the message lines that were only # comments. Eons ago Hadley helped with the code with early versions of the original GGPLOT and it has been modified a bit to reflect current packages and worked when pasted into the R 4.4.0