similar to: question: randomization t-test function already defined in R?

Dear Developers: I have a question about memory management in R 2.2.1 and am wondering if you would be kind enough to help me understand what is going on. (It has been a few years since I have done software development on Windows, so I apologize in advance if these are easy questions.) ------------- MY SYSTEM ------------- I am currently using R (version 2.2.1) on a PC running Windows 2000

Dear Knowledgeable R Community Members, Please excuse my ignorance, I apologize in advance if this is an easy question, but I am a bit stumped and could use a little guidance. I have a finite mixture modeling problem -- for example, a 2-component gaussian mixture -- where the components have a large overlap, and I am trying to use the "mclust" package to solve this problem. I need

Hi, I am a newbie with R, so I hope my question isn't too stupid. I am trying to generate dose-response curves using the "drfit" package. I have formatted my CSV files to the correct format, and have no trouble running drfit to get a summary of my data. The problem is that when I try to use "drplot" to graph my data I get an error. The message is: Error in

Is the pictex graphics device known not to support color? In R 2.0.1 Patched (2004-11-17), it produced very pretty output: ## pictex(file = "modern-metatheonomy.tex", bg = "transparent"); ## plotData(data); ## dev.off() ... but it appears to have ignored all color information. __________ Steve Rowley <steve.rowley at sanofi-aventis.com> Cambridge, MA: (617) 768-4054

Dear All, I'm trying to read a text data file that contains several records separated by a blank line. Each record starts with a row that contains it's ID and the number of rows for the records (two columns), then the data table itself, e.g. 123 5 89.1791 1.1024 90.5735 1.1024 92.5666 1.1024 95.0725 1.1024 101.2070 1.1024 321 3 60.1601 1.1024 64.8023 1.1024 70.0593

Hello, I got stuck with a graphics question: I've 3 figures that I present on a single page (window) via 'layout'. The layout is layout(matrix(c(1,1,2,3), 2, 2, byrow=TRUE)); so that the frst plot spans the both columns in row one. Now I'd like to magnify the fist figure so that it takes 20% more vertical space (i.e. more space for the y-axis). How would I do this in R?

What is the correct form to write statement meaning: if (a==1) {b=2; c=3}; else {b=0; c=0}; Thank you Jue Wang, Biostatistician Contracted Position for Preclinical & Research Biostatistics PrO Unlimited (908) 231-3022

Hello, I'm trying to find out the optimal number of splits (mtry parameter) for a randomForest classification. The classification is binary and there are 32 explanatory variables (mostly factors with each up to 4 levels but also some numeric variables) and 575 cases. I've seen that although there are only 32 explanatory variables the best classification performance is reached when

Hello, I've a very long character array (>500k characters) that need to split by '\n' resulting in an array of about 60k numbers. The help on strsplit says to use perl=TRUE to get better formance, but still it takes several minutes to split this string. The massive string is the return value of a call to xmlElementsByTagName from the XML library and looks like this: ... 12345

Hi All, I am using canonical correspondence analysis to compare a community composition matrix to a matrix of sample spatial relationships and environmental variables. In order to parse out how much variance is explained purely by space (S/E) or the environment (E/S) I am using a conditional (partial) CCA. I want to test significance via Monte Carlo but I can not find a way to do this with a

Using "par" seems easily put a "hist" and a density side by side on the same output window. I would like to use some features in "histogram" from Lattice, but how can I put "histogram" and "densityplot" side by side on the same graph? Thank you par(mfrow=c(2,1)) hist(y) plot(density(y)) Jue Wang, Biostatistician Contracted Position for

Dear All, I've a question about scaling the input variables for an analysis with svm (package e1071). Most of my variables are factors with 4 to 6 levels but there are also some numeric variables. I'm not familiar with the math behind svms, so my assumtions maybe completely wrong ... or obvious. Will the svm automatically expand the factors into a binary matrix? If I add numeric

Hello, I was wondering if there is an R-package to automatically calculate the IC50 value (concentration of a substrance that inhibits cell growth to 50%) for some measurements. kind regards, Arne [[alternative HTML version deleted]]

I have a plot of cumulative distribution function which is a step function, I'd like to put a cycle at the right end of each line to indicate that the value here is not available in this line. How can I do that? Thank you. cdf<-function(x){ do.call("rbind",lapply(1:nrow(as.matrix(x)), function(i){ a<-x[i] if (a<0.5){b=0.1} else if (a<1){b=0.3} else if

Hello, I want to do a surface plot with wireframe from the lattice package. As for now I use the following command : print(wireframe(m,main="% my title", colorkey=TRUE, col.regions=rainbow(100), drape=TRUE,aspect = c(1,1.0),ylab="y",xlab="x",zlab="z", scales=list(arrows=FALSE)),split=c(1,1,3,2), more=TRUE) How can I show the gridlines in a 3D surface

Dear R users, I used plot(x,y) to draw a scatter plot. I need to add another smaller histogram on the same plot I just had. However when I used hist(y), the histogram was on another page. Any suggestion? Best Regards, Philip [[alternative HTML version deleted]]

Dear Knowledgeable R Community Members, Please excuse my ignorance -- I apologize in advance if this is an easy question, but I am a bit stumped and could use a little guidance regarding parameters in 2 functions in the "mclust" package. -------------------- PROBLEM DESCRIPTION -------------------- I have a finite mixture modeling problem -- for example, a 2-component gaussian

Hi, Marion, I believe the package FlexMix provides a more generalized version of finite mixture modeling than is found in mclust/mclust02. Please see: http://cran.r-project.org/doc/vignettes/flexmix/flexmix-intro.pdf Karen --- Karen M. Green, Ph.D. Karen.Green@sanofi-aventis.com Research Investigator Drug Design Group Sanofi Aventis Pharmaceuticals -----Original Message-----

> From: Weiwei Shi > > it works. > thanks, > > but: (just curious) > why i tried previously and i got > > > is.vector(sample.size) > [1] TRUE Because a list is also a vector: > a <- c(list(1), list(2)) > a [[1]] [1] 1 [[2]] [1] 2 > is.vector(a) [1] TRUE > is.numeric(a) [1] FALSE Actually, the way I initialize a list of known length is by

hi, a) i have something like: ecdfgrp1<-ecdf(subset(mydata,TMT_GRP==1)$Y); ecdfgrp2<-ecdf(subset(mydata,TMT_GRP==2)$Y); how can i plot the difference between these 2 step functions? i could begin with ecdfrefl<-function(x){ecdfgrp2(x)-ecdfgrp1(x);} ... what next? b) if i have a vector with repeated numeric values how can i get the subset without repeated values .e.g (0,4,0,2,2)