similar to: as.list.matrix

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 get the following > library(foreign) Error in namespaceExport(ns, exports) : undefined exports: write.foreign Error in library(foreign) : package/namespace load failed for 'foreign' with rw2000dev as of (2004-09-17 Kjetil -- Kjetil Halvorsen. Peace is the most effective weapon of mass construction. -- Mahdi Elmandjra

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

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

This is rw2000 on windowsXP jpeg("test.jpeg", bg="orangered") plot(1:10, 1:10, col="green") dev.off() ------ jpeg("test.jpeg", bg="blue") plot(1:10, 1:10, col="red") dev.off() ------- jpeg("test.jpeg", bg="green") plot(1:10, 1:10, col="red") dev.off() --- jpeg("test.jpeg",

I get this on windows XP, rw2011, precompiled from CRAN: C:\R\rw2011\src\gnuwin32>R CMD build -- binary ./../library/tseriesChaos R CMD build -- binary ./../library/tseriesChaos * checking for file 'binary/DESCRIPTION' ... NO and there it stopped, while the following works: C:\R\rw2011\src\gnuwin32>Rcmd build --binary ./../library/tseriesChaos Rcmd build --binary

The following can't be right, first rw2010: > 1 %% 0.001 [1] 0.001 Then rw2001: > 1 %% 0.001 [1] -2.081668e-17 > and the last seems about right. -- Kjetil Halvorsen. Peace is the most effective weapon of mass construction. -- Mahdi Elmandjra -- No virus found in this outgoing message. Checked by AVG Anti-Virus.

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

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

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

Hola! I got past the problems I asked about two days ago, thanks. No I am updating CRAN package asypow (the daily package check on CRAN gave warnings due to .Rd problems, fixed). Now it PASSED Rcmd check (WindowsXP home edition, rw2000dev, on a new toshiba laptop, if that matters.) but then Rcmd build --binary gives problems: . . . preparing package asypow for lazy loading Error in

?oneway.test contains: |var.equal| a logical variable indicating whether to treat the variances in the samples as equal. If |TRUE|, then a simple F test for the equality of means in a one-way analysis of variance is preformed. If |FALSE|, an approximate method of Welch (1951) is used, which generalizes the commonly known 2-sample Welch test to the case of arbitrarily many samples. I guess

This is R2.1.1 The documantation opened by ?ar, section for returned value, does not document all the components of the returned list. In addition to the 13 components documented, it also contains the component $frequency This also applies to the help page opened by ?ar.ols -- Kjetil Halvorsen. Peace is the most effective weapon of mass construction. -- Mahdi Elmandjra

Hola! I started to search for information about multilevel survival models, and found frailty in R. This seems to be something of the same, is it the same? Then: why the name frailty (weekness?) -- Kjetil Halvorsen. Peace is the most effective weapon of mass construction. -- Mahdi Elmandjra

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)

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.

Hola! I am doing some minimal changes on the package SenSrivastava to make it fit for R2.0.0 (This package passed Rcmd check on earlier versions of R, and are passing the CRAN daily checks!) I am using rw2000dev from CRAN. Now i get (running in an Xemacs shell): installing R.css in C:/R/rw2000dev/src/gnuwin32/SenSrivastava.Rcheck ---------- Making package SenSrivastava ------------ adding

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