similar to: Repeated Measures?

Hi All R guru's, A couple of simple questions which I cannot find answers to in "an introduction to R" or in the reference manuals. I am running R on Win95, and have plotted up quite a nice box and whisker plot: char<-read.table("n:/reddinm/grifpr~1/survey/char.txt") attach(char) boxplot(Al,Fe,OC,pH, range=0,xaxis=FALSE, ylab="Proportion of Unirigated

Hi R Gurus, I am more or less a beginner with R. I have searched your FAQ, manuals, and the archives of this list for an answer to this question, unsuccessfully. I commonly do analysis of chemical characteristics of soils, by depth intervals (e.g. 0-100 mm, 100-200, 200-300, etc), comparing two soil profiles that have received some treatment (effluent). In Genstat I can handle this problem

HI All, I am trying to analyse the results of a heap of samples, to determine how many samples are required to meet a defined confidence interval. I checked out the R manual for bootstrapping and re-sampling methods, but did not find anything. Are there any contributed procedures that deal with this? thanks, Matt Redding Soil Scientist Intensive Livestock Environmental Management-Research

> Hi All R guru's, > > A couple of simple questions which I cannot find answers to in "an > introduction to R" or in the reference manuals. > > I am running R on Win95, and have plotted up quite a nice box and whisker > plot: > > char<-read.table("n:/reddinm/grifpr~1/survey/char.txt") > attach(char) > boxplot(Al,Fe,OC,pH,

Hi All, I am preparing a few plots for publication. Unfortunately the journal requires figures to have all text in a sans serif fonts. I realise that there is support for the use of Hershey vector fonts in the function TEXT, but how do I get the text on axes to be sans serif? For example, the labels and axis values produced from this line of code: plot(SolPC, SorbPC, ylab="Sorbed P

Hi R Gurus, I have a question that some of you may have dealt with before. I would redirect output to the clipboard, rather than to the screen. Is this possible? Is a function already written for it, or is it just an option in print? Any help would be appreciated. Also, thanks to all those who have helped develop this great software, or who make the effort here to support the user-base.

Hi All, I've been trawling through the documentation and listserv archives on this topic -- but as yet have not found a solution. I'm sure this is pretty simple with R, but I cannot work out how without resorting to ugly nested loops. As far as I can tell, grep, match, and %in% are not the correct tools. Question: given these vectors -- patrn <- c(1,2,3,4) exmpl <-

Thanks for your help with this behaviour. I have tried a few other things, and it looks like it is an issue of using the clipboard to copy it in rather than saving to a file then copying. A bit odd, but maybe nothing to do with R! Matt Redding -----Original Message----- From: Redding, Matthew Sent: Saturday, 10 January 2004 2:09 PM To: 'Prof Brian Ripley' Subject: RE: [R] Letter

Hi All, I've been trying to make some adjustments to the graphics in a paper I wrote some time ago, for which the comments have been returned from the reviewers. I always use R for publication graphics...I think it does the best job available, for the things I am interested in. I could not get my graphics in R 181 to look the same as the old ones (completed 8 months ago), the text seemed

Is there a function in R for doing Greenhouse-Geiser correction in ANOVA models? Is it already available in the aov function? How do we use it? Best, Darren [[alternative HTML version deleted]]

Dear All, Have just installed v2.5.1 on Windows XP. Works fine but I had quite a few pakages loaded for 2.5.0 (from contributed) and was wondering how I can get 2.5.1 to recognise them without having to reinstall them all. Is this possible or do I have to reinstall all the packages again? I required 2.5.1 for lme4 and matrix. Many thanks in advance.

Hi R Gurus, I want to change the size and shape of the plot region, but cannot work out how to use the arguments pin and fin in the par() function e.g. : par(lwd=1.5, font=1, mfrow=c(2,1), pty="m", plt=c(.1,.9, 0.1,.9), mar=c(1,4,0.1,0.1) pin=c(6,12)) this gives me a syntax error associated with pin. How should I be using these arguments? Thanks, Matt Redding

Are there any particular licences under which R packages must be released or is it the discretion of the author? The same question if the package is to be destined for CRAN? Kind regards, Nathan -- -------------------------------------------------------- Dr. Nathan S. Watson-Haigh OCE Post Doctoral Fellow CSIRO Livestock Industries Queensland Bioscience Precinct St Lucia, QLD 4067 Australia

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I have a rectangular matrix of size 920 by 85. I'd like to coerce it into a square matrix such that all row/col names are present in the new matrix and the additional values are zero. As an example: A B C D A 1 2 3 4 E 5 6 7 8 F 9 10 11 12 Would be coerced to: A B C D E F A 1 2 3 4 5 9 B 2 0 0 0 6 10 C 3 0 0

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I'm generating a symmetric correlation matrix using a data matrix as input: mat <- cor(data.mat) My question is: Is there a more memory efficient way to store this data? For instance, since: all(mat == t(mat)) every value is duplicated, and I should be able to almost half the memory usage for large matrices. Any thoughts/comments? Cheers,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I'm trying to add some Fortran 90 code to an existing package. When I compile and load the file manually like: SHELL> R CMD SHLIB file.f90 R> dyn.load("file.so") I can use the .Fortran() fine. However, when I try to build, install and load the library I seem to be missing something. I do a: SHELL> R CMD build dir SHELL> R

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I've written a function in R which takes a symmetrical matrix as input and processes all triplicate combinations of values from the matrix. The function looks something like: my_fun <- function(m) { if( nrow(mat) != ncol(mat) ) { stop("'m' must be a square matrix") } size <- nrow(m) for(x in 1:(size -2)) {

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I'd like to be able to colour histograms along the diagonal using the colours stored in colnames(d): > d black blue brown cyan 1 0.96405751 -0.02964390 -0.060147424 -0.06460070 2 -0.03614607 0.95475444 -0.152382053 -0.07767974 3 -0.07095613 -0.05884884 -0.061289399 -0.06445973 4 -0.03708223 -0.05997624

HI All R Gurus, Please reply directly to this email if you have a suggestion, as I am not currently an R-help member. I would like to complete a non-linear regression with groups. Having gone down the path of completing such things under GENSTAT, I would prefer to do it with R. My example data set is... TimeTreat ExtrVol2 SorbedT ET1 39.5 384.5 ET1

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I have the following data: > y [1] 0.000 0.004 0.008 0.016 0.024 0.032 0.044 0.064 0.072 0.088 0.108 0.140 [13] 0.156 0.180 0.208 0.236 0.264 0.296 0.320 0.360 0.408 0.444 0.472 0.524 [25] 0.576 > x [1] 100 200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 [16] 1600 1700 1800 1900 2000 2100 2200 2300 2400 2500 I'd