similar to: How to block data across multiple columns?

---------- Forwarded Message ---------- Date: 18 September 2009 19:24 +0100 From: A Singh <bzwas at bristol.ac.uk> To: William Dunlap <wdunlap at tibco.com> Subject: RE: [R] Error: length(f1) == length(f2) is not TRUE Yup, they are all factors- and its still doesn't work. Getting to the stage where I can use 'summary()' is the problem- the error stalls the process before a

Dear R users, I am trying to fit an lmer model with only random effects which is giving me the following error: Error : length(f1) == length(f2) is not TRUE In addition: Warning messages: 1: In P1L55:family : numerical expression has 390 elements: only the first used 2: In P1L55:family : numerical expression has 390 elements: only the first used I am trying to extract variance components

Dear List, I thought it would be much easier to put a second query into a second mail. I need to print 426*10000 blocks of variance components data, where 426 is the number of columns of data that have 10000 permutations of variance generated for each of them. I have tried printing out a smaller number of permutations for a smaller number of markers and that has worked. However, since a

Dear List, I am trying to run a mixed model which, on the R console, prints output as follows: [1] "Marker" [1] "perm no." [1] NA Linear mixed model fit by REML Formula: peg.no.prm ~ 1 + (1 | family/f) Data: modeldf AIC BIC logLik deviance REMLdev 3119 3134 -1555 3112 3111 Random effects: Groups Name Variance Std.Dev. f:family (Intercept) 0.0

Dear All, I am quite new to R and am having a problem trying to run a linear model with random effects/ a regression- with particular regard to my variable lengths being different and the models refusing to compute any further. The codes I have been using are as follows: vc<-read.table("P:\\R\\Testvcomp10.txt",header=T) >> attach(vc) > > family<-factor(family) >

Dear Mark and the R list, I apologise greatly for not having thanked you earlier for your help with my last mail, which involved trying to sort out variance components using two methods: a direct looped lmer, and a two-step analysis involving regressions of AFLP markers on lmer residuals for the same result (or so I hoped). I was in India for ten days and no CRAN mirror in the vicinity made

Dear List, I'm having a curious problem with lapply(). I've used it before to convert a subset of columns in my dataframe, to factors, and its worked. But now, on re-running the identical code as before it just doesn't convert the columns into factors at all. As far as I can see I've done nothing different, and its strange that it shouldn't do the action. Has anybody

Dear List, I need to print out each of 'k' levels of a factor 'n' times each, where 'n' is the number of elements belonging to each factor. I know that this can normally be done using the gl() command, but in my case, each level 'k' has an unequal number of elements. Example with code is as below: vc<-read.table("P:\\Transit\\CORRECT

Dear R users, I am trying to read in a file with 105 columns, and when trying to attach it, get an error as follows: > vc1<-read.table("P:\\R\\Everything-I.txt", header=T, sep=" ", dec=".", na.strings=NA, strip.white=T) > attach(vc1) Error in attach(vc1) : variable names are limited to 256 bytes Is there a way to get around this, and make R accept the

I HAVE A VERY BIG DATA OF 67 COLMS AND 25000 ROWS AND WOULD LIKE TO TRANSPOSE IT THE R HELP WAS NOT ENOUGH INFORMATION BECOUSE I AM NOT A PROGRAMMER AND FIRST TIME R USER. SO CAN YOU GIVE SOME HINTS OF CODING, AA TT GG GG CC AA TT GG GG CC AA TT GG GG CC AA TT GG GG CC AA TT GG GG CC TO AA AA AA AA AA TT TT TT TT TT GG GG GG GG GG GG GG GG GG GG CC CC CC CC CC [[alternative HTML

Hi, I need to understand when is it best to use /rmpi/ and when is it best to use /snow/ for parallel programming in R? I understand snow can be used for a group of non-clustered work stations also. But I wish to understand from the point of view of using both on clusters for a problem which has few chunks of straightforward data-parallelism interleaved with some communication. Since both are

Markdowners: I've released version 0.4.1 of peg-markdown, a C implementation of markdown. peg-markdown uses Ian Piumarta's peg/leg parser generator to generate a parser from a parsing expression grammar (PEG). You can inspect the grammar for markdown at http://github.com/jgm/peg-markdown/tree/HEAD/markdown_parser.leg peg-markdown now provides both a C library and a standalone

I've just uploaded an implementation of markdown in C. It defines the syntax using a PEG grammar, so it should be easy to extend and modify. Right now it can produce output in either HTML or LaTeX, but it would be simple to add other output formats. It's very fast: on my machine, it converts a 178K markdown file in 0.14 seconds (vs. 9.6 seconds for the latest Markdown.pl and 0.57 seconds

On 10/13/2017 10:19 AM, Anand Buddhdev wrote: > .. > Stop trying to force a square peg into a round hole. Whee, I just _know_ I'm going to be positively skewered (and maybe even plonked!) for this.... but, hey, it's Friday, and this post is meant to be a bit funny.? So lighten up, and enjoy a short read. obHumor: I actually have a piece of furniture (a small table) with square

Sorry this may well be defined as Off Topic. I apologize in advance. I am interested in performing what I think would be a probabilistic sensitivity simulation. I've done some crude ones before in excel but I'm wondering if R can help me do it more effectively? I have a set of theoretical variables for simplicity lets use (what I think) is an easier example: I have a peg and a hole

There's been a lot of discussion on this list about creating a formal grammar for markdown. I had a go at writing a [parsing expression grammar] for markdown. I used Haskell and John Meacham's Frisby PEG parsing library, but it should not be too hard to port the grammar to PEG libraries in other languages. [parsing expression grammar]:

Hello everybody, I don't quite understand how the proposed regex library works but I know that PEG parser generators use a super-set of regex functionality to define their parsers. There's also a nice one on Google code called YARDparser that uses templates based on PEGs to generate efficient recursive-decent parsers. Furthermore, my partner and I am working on an interpreter for PEG

Hello OvermindDL1, We are implementing an extensible language. That's one where you can add commands and constructs to the language without having to recompile the parser. We want compilation of the parser in order to "freeze" it but only as an option. One goal is to eventually get the macro functions of our language to the point where they are equivalent to the template

Hi all - I am NEW to R and NEW to any type of programming. I am making heatmaps using the heatmap.2 function within gplots package. At present, when the heatmap is plotted it uses the row identifiers as 1,2,3,4...etc. However, I much rather use my own labels. I was told my another well-versed R programmer to use the follow script: x<-as.matrix(test1[,-1]) ## skip column 1 rownames(x)<-

Markersdown: I was fooling around with lua and decided to write a markdown parser using the terrific lpeg library. Here's the result: http://github.com/jgm/lunamark/tree/master There are already two markdown libraries for lua, one a native lua implementation based on global substitutions, the other a binding to discount. What makes lunamark different is that it is based on a PEG grammar