similar to: foo.RData or foo.r?

Dear All, I would like to ask you how to accomplish a little tricky data manipulation. I have a large dataset, looking something like: temp line cage number 18 18 1 6678.63 18 18 1 7774.458 18 18 1 7845.902 18 18 1 9483.578 18 18 1 8983.555 18 18 1 9181.052 18 18 1 9458.696 18 18 1 8138.616 18 18 1 7981.994 18 18 1 7556.491 18 18 1 7672.137 18 18 1 6607.776 18 18 1 8383.65 18 18 1 7129.852 18 18

Dear All, is any way I can change the colours of the box and umbrella of a bwplot without having to go to the length of: box.rectangle<-trellis.par.get("box.rectangle") box.rectangle$col<-"black" trellis.par.set("box.rectangle", box.rectangle) etc... but straight from the call: bwplot(y ~ x | z, mydata) ? Regards, Federico Calboli

Dear All, using R is noticed that I would benefit by going back to the books and "refresh" my linear algebra and calculus. Has anybody suggestions on which books are better as reference on the two these two topics? I was thinking to get Lang's "A First Course in Calculus", but I I have no idea what could be a good one for linear algebra. Something detailed and clear

Dear All, I am analysing some data for a colleague (not my data, gotta be published so I cannot divulge). My response variable is the number of matings observed per day for some fruitlies. My factors are: Day: the observations were taken on 9 days Regime: 3 selection regimes Line: 3 replicates per selection regime. I have 81 observations in total The lines are coded A to I, so I do not need

Dear All, I would like to ask you to help me with my memeory. I remember using some function that would list all the possible methods I could apply to an object. Say, if I had an object of class=lme, it would tell me that that I could do stuff like qqnorm(myobjct), or VarCorr(myobject). In general, a very complete list. I though this list of all possible methods would pop out by typing

Dear All, when I try to: install.packages("Design"); install.packages("Hmisc") I get the following error messages: * Installing *source* package 'Design' ... ** libs g77 -mieee-fp -O2 -fomit-frame-pointer -pipe -march=i586 -mcpu=pentiumpro -O2 -fomit-frame-pointer -pipe -march=i586 -mcpu=pentiumpro -c lrmfit.f -o lrmfit.o make: g77: Command not found make: ***

Dear All, I saved by mistake the environment I was working in after typing q(), and now I get the annoying message: [Previously saved workspace restored] I have already deleted all the objects in the environment, saving it as an empty environment, so it's just a matter of nitpicking I suppose. The message does not appear if I start R from any other place in the directory tree. I am

Hi, R is very new for me, so excuse if my questions are too basic... BTW, are there any forum where new R users could get help without annoying this huge mailing list ? In following code, I'd like to choose the color for each of the curve diplayed. png(filename = filename, width = 950, height = 600, pointsize = 10, bg = "white") xyplot(HITS+MS1*3+FREQ~TIME

Hi, I just installed the last version of R taken from the CRAN mirron in University of Vi?osa, Brasil. Since I use Mandrake 9.1 I get the proper .rpm file. I installed fine and all the test runs OK. I tryied to install sevela packages ussing the install.packages("package.name") and the installation runs OK... apparently. However, when I try to use the new package I get the following

Dear All, I am writing to ask a clarification on what R, and in particular lme, is doing. I have an experiment where fly wing area was measured in 4 selection lines, measured at 18 and 25 degrees. I am using a lme model because I have three replicated per line (coded 1:12 so I need not use getGroups to creat an orederd factor). The lines are called: "18"; "25";

Hi All, I'd like to ask for a few clarifications. I am doing some calculations over some biggish datasets. One has ~ 23000 rows, and 6 columns, the other has ~620000 rows and 6 columns. I am using these datasets to perform a simulation of of haplotype coalescence over a pedigree (the datestes themselves are pedigree information). I created a new dataset (same number of rows as the pedigree

Hi All, is there any chance of vectorising the two ifelse() statements in the following code: for(i in gp){ new[i,1] = ifelse(srow[i]>0, new[srow[i],zippo[i]], sample(1:100, 1, prob =Y1, rep = T)) new[i,2] = ifelse(drow[i]>0, new[drow[i]>0,zappo[i]], sample(1:100, 1, prob =Y1, rep = T)) } Where I am forced to check if the value of drow and srow are >0 for each line... in

Hi All, I have a vector of data, a vector of bin breakpoints and I want to put my data in the bins and then extract fanciful informations like the mean value of each bin. I know I can write my own function, but I would have thought that R should have somewhere a function that took as arguments something like (data, breaks, what to do with the data in the bins). I surey could not find it

Hi All, does anyone know if the package GLME by J. Pinheiro is available anywhere in any form? checking on the archive I got that it was at some point, as as a beta version (for S-Plus only, alas)... Cheers, Federico ========================= Federico C.F. Calboli Department of Biology University College London Room 327 Darwin Building Gower Street London WClE 6BT Tel: (+44) 020 7679 4395

Hi All, I have a list of matrices: > x [,1] [,2] [1,] 1 4 [2,] 2 5 [3,] 3 6 > y [,1] [,2] [,3] [,4] [,5] [,6] [1,] 18 21 24 27 30 33 [2,] 19 22 25 28 31 34 [3,] 20 23 26 29 32 35 > z =list(x,y) I want to create a second list that is has a subset each matrix in the list subsetting so I get the 2nd and 3rd row of each (and

Hi All, a colleague wants to calculate the Fisher information matrix for a model he wrote (not in R). He can easily get the neg-log-likelihood and the best fit parameters at the minimum. He can also get negLLs for other parameter values too. Given these data, is there a way in R to calculate the Fisher information matrix? Best, Federico -- Federico C. F. Calboli Department of Epidemiology

Dear R community, I need to plot the results of some simulations I did using QTL Cartographer. I am plotting LOD scores over three chromosomes. The three plot have to be one next to the other. The procedure I am using is: par(mfrow=c(1,3)) plot(x$x, x$y, ylim=c(0,35), type="l", col="blue", las=1, xaxs="i", yaxs="i", xlab="X Chromosome",

Hello, I'm running a PB G4 with Mac OS 10.4.1. I have downloaded the latest version R-2.1.0a.dmg. It appears that R does not work. It launches itself, but the window never gets ready, there is written "Loading R..." and a small progress wheel keeps turning indefinitely. Could someone help or suggest something? THANKS !! Guillaume

HI All, I have a data frame such as: > test x y p d [1,] 1 0 10 21 0 [2,] 2 3 11 12 0 [3,] 3 4 12 23 0 [4,] 3 5 13 24 0 and I want to perfor some operations on the first two coulums, conditional on the uneqaulity values on the 3rd and 4th columns. For instance: j = 3 test[test[,1] == j, 5] = test[test[,1] == j,2] + test[test[,2] == j,1] gives me the result: test: x y p d

Hi You could try to find an equivalent representation as a string and try to match those. > (A <- cbind(sample(1:2, 10, rep=TRUE), sample(1:2, 10, rep=TRUE))) [,1] [,2] [1,] 1 2 [2,] 1 2 [3,] 1 2 [4,] 2 2 [5,] 1 1 [6,] 1 2 [7,] 1 2 [8,] 1 1 [9,] 1 2 [10,] 1 1 > (B <- unique(A)) [,1] [,2] [1,] 1 2