similar to: Removing constants from a data frame

Hola! I ask here since I learnt from this list that the LaTeX package listings should be good for typesetting R code. I encountered one problem: \begin{lstlisting} X %*% V \end{lstlisting} in the output the * in %*% disappears! same with %/%, etc, the / disappears. Any ideas? Kjetil -- Kjetil Halvorsen. Peace is the most effective weapon of mass construction. --

I just discovered that when the VGAM package (not on CRAN) is loaded, glm() doesn't work. This is because VGAM defines a family function() which gets found by glm() in place of the family function from stats. Then VGAM:::family returns an object which doesn't have a $family component, (it has a component $vfamily). I thought namespaces should protect us from this happening? Kjetil --

I am trying to install a local package and get this unexpected error: ---------- Making package UMSA ------------ adding build stamp to DESCRIPTION installing R files installing data files installing man source files installing indices Error: couldn't find function "na.omit" Execution halted na.omit of course is in package stats, and that is listed in the Depends field in

With rw2010dev I get a strange protect(): protection stack overflow error with a small data frame which otherwise is usable: If anybody wants to have a look I can provide an RData file with the problematic data frame. Doesn't seem to be necessary, the following simulated example generates the error: > testmat <- matrix(1:80, 20,4) > dim(testmat) [1] 20 4 > str(testmat) int

Hello! I was reading R-intro and I have some suggestions: R-intro.html#A-sample-session rm(fm, fm1, lrf, x, dummy) suggestion rm(fm, fm1, lrf, x, y, w, dummy) The next section will look at data from the classical experiment of Michaelson and Morley to measure the speed of light. file.show("morley.tab") mm <- read.table("morley.tab") suggestion mm <- data(morley)

I found the need of converting a matrix into a list of its columns (for use with do.call), and was surprised there was no method as.list.matrix, it could easily be a part of as.list default I wrote my.as.list.matrix <- function(mat) { if(!is.matrix(mat))stop("Argument must be a matrix") n <- NCOL(mat) res <- vector(mode="list", length=n)

Dear List, We are planning a genotyping study to be analyzed using false discovery rates (FDRs) (See Storey and Tibshirani PNAS 2003; 100:9440-5). I am interested in learning if there is any consensus as to how many features (ie. how many P values) need to be studied before reasonably reliable FDRs can be derived. Does anyone know of a citation where this is discussed? Bill Dupont William D.

This is rw2010 from CRAN. When running Rcmd check on a package I get: Warning in utils::data(list = al, envir = data_env) : data set 'vowel.test' not found Warning in utils::data(list = al, envir = data_env) : data set 'vowel.train' not found Warning in utils::data(list = al, envir = data_env) : data set 'waveform.test' not found Warning in utils::data(list

This is rw2010 from CRAN. When running Rcmd check on a package I get: Warning in utils::data(list = al, envir = data_env) : data set 'vowel.test' not found Warning in utils::data(list = al, envir = data_env) : data set 'vowel.train' not found Warning in utils::data(list = al, envir = data_env) : data set 'waveform.test' not found Warning in utils::data(list

On trying with very smll test packages to try drilling down to som problems earlier reported in this list, I detected the following: R CMD check on a package with an R subdirectory empty, reports: * checking R files for syntax errors ... ERROR Syntax error in file On removing the empty subdirectory, the error disappears. Kjetil -- Kjetil Halvorsen. Peace is the most effective weapon of

Dear Sir/Madam, I am doing a project related to R. However, it is always difficult find some R functions. The R user guide seems not complete. Is there any free document about all R functions ? Who knows ? please help me. My email is myzhaogong@yahoo.com Thank you very much --------------------------------- [[alternative HTML version deleted]]

Hi there, Is there an implementation of the Gaveh Stehfest algorithm in R somewhere ? Or some other inversion ? Thanks, Tolga

Dear R-users, I have an outcome variable and I'm unsure about how to treat it. Any advice? I have spending data for each county in the state of California (N=58). Each county has been allocated money to spend on any one of the following four categories: A, B, C, and D. Each county may spend the money in any way they see fit. This also means that the county need not spend all the money that

Hello, I am hoping someone can help me with the following multivariate issue: I have a model consisting of about 50 covariates. I would like to reduce this to about 5 covariate for the reduced model by combining cofactors that are strongly correlated. Is there a package or function that would help me with this in R? I appreciate any suggestions. Thanks, Ian

Try this: > ?convolve > x<-rnorm(1000) > y<-rep(1,20) > z<-convolve(x,y,type="filter") > plot(x,type="l") > str(z) num [1:981] 6.31 7.28 8.16 7.39 4.65 ... > lines(c(rep(0,10),z,rep(0,10)),col="yellow",lwd=3) > lines(c(rep(0,10),z,rep(0,10))/length(y),col="red",lwd=3) #running mean You wrote: Does anyone know an easy way

Hello, and please excuse this off-topic question, but I have not been able to find an answer elsewhere. Consider a value Z that is calculated using the product (or ratio) of two means X_mean and Y_mean: Z=X_mean*Y_mean. More generally, Z=f(X_mean, Y_mean). The standard error of Z will be a function of the standard errors of the means of X and Y. I want to calculate this se of Z. Can someone

Hi people, Does anybody know some Density-Based Method for clustering implemented in R? Thanks, Fernando Prass _______________________________________________________

Hello, I have a system of quadratic equations (results of a Hamiltonian optimization) which I need to find the roots for. Is there a package and/or function which will find the roots for a quadratic system? Note that I am not opimizing, but rather solving the first order conditions which come from a Hamiltonian. I am basically looking for something in R that will do the same thing as fsolve in

I am bootstrapping using a function that I have defined. The "Statistic" of the function is an array of 10 numbers. Therefore if I use 1000 replications, the "t" matrix will have 1000 rows each of which is a bootstrap replicate of this 10 number array (10 columns). Is there any easy way in R to determine which row appears the most frequently? Thanks, Lisa Pappas Huntsman

I encountered something strange with read.spss (package foreign, version 0.7 with R2.0.0 and version 0.8 with R2.0.1 beta, windows XP) I made a test file test.sav with SPSS version 11.5.1 containing only one numeric variable, with a value label for one value not occuring in the file. According to ?read.spss this should result in a factor, but it results in all NA. Using the argument