similar to: write.table and segment fault?

Hi, I was surprised that apply and sapply don't return the same results in the example below. Can someone tell me what I'm missing? > zls <- function(x) character(0) > m <- matrix(0, nrow=2, ncol=2) > apply(m, 1, zls) character(0) > sapply(m, zls) [[1]] character(0) [[2]] character(0) [[3]] character(0) [[4]] character(0) > R.version _

Hi ?atan2 says that atan2(y,x)=atan(y/x) for x and y numeric or complex vectors. Well, I would expect atan2(1,1i) to be equal to atan(-1i), but > atan2(1,1i) Error in atan2(y, x) : Non-numeric argument to mathematical function > R.version _ platform powerpc-apple-darwin8.5.0 arch powerpc os darwin8.5.0 system powerpc, darwin8.5.0

Hi ?atan2 says that atan2(y,x)=atan(y/x) for x and y numeric or complex vectors. Well, I would expect atan2(1,1i) to be equal to atan(-1i), but > atan2(1,1i) Error in atan2(y, x) : Non-numeric argument to mathematical function > R.version _ platform powerpc-apple-darwin8.5.0 arch powerpc os darwin8.5.0 system powerpc, darwin8.5.0

Hi, I've been slowly transitioning to saving sets of objects for a project using save() rather than cluttering my workspace and then doing save.image() However, sometimes after I have done say: save(x,y,z, file='work.Rda') and I reload it a little later and I see that I also want to save object p. Currently I need to do: save(x,y,z,p, file='work.Rda') Is there any way

Hi, I have seen the answer to this sometime before but I just can't find it again - pointers appreciated. I have a package that contains some data.frames saved as .Rda files in the data/ directory. When the package is loaded I would like to have them be available in the workspace (without the user having to explicitly load them using data(...)). If my package does not use a NAMESPACE, I can

Hi All, Would be grateful,if anyone can answer my queries. I need to share code. For example, if I am working in C/C++, I would put some function declarations in .h files that you would include. In PHP, I would create files with the common functions in them and then "include()" them. So far, I haven't been able to figure out what the standard practice is in R. The two options

The GeneSetCollection class in the Bioconductor package GSEABase extends 'list' > library(GSEABase) > showClass("GeneSetCollection") Slots: Name: .Data Class: list Extends: Class "list", from data part Class "vector", by class "list", distance 2 Class "AssayData", by class "list", distance 2 If I create

I'm encountering excruciatingly slow load times for character vectors in R 2.6.0-- up to 30sec for a 15K file that contains a no-attributes character vector of length ~1e4 and object size ~0.5MB. In R 2.5.1, repeated loads of the same set of files are near-instantaneous. The problem is proving tricky to reproduce consistently from scratch, so I have attached the 3 files used in the examples

Dear R friends, to allow post-mortem debugging In my Rscript based batch jobs I use tryCatch( <R expression>, error = function(e) { dump.frames(to.file = TRUE) }) to write the called frames into a dump file. This is similar to the method recommended in the "Writing R extensions" manual in section 4.2 Debugging R code (page 96):

Experimenting with altrep objects and v3 serialization, I discovered a possible bug. Calling DATAPTR on a compact_intseq object returns a pointer to the expanded integer sequence in memory. If you modify this data, the object values appear to be changed. However, if the compact_intseq object is then serialized (with version=3), only the original integer sequence info is written. For example,

I tried to build the gold plugin and receive the errors posted below. I checked out the gold plugin using "cvs -z 9 -d :pserver:anoncvs at sourceware.org:/cvs/src co src," as documented on llvm.org. Is that version bleeding edge and perhaps not stable? The first errors have to do with the libtool version. I have libtool 2.2.6 on my system, which is what the README-maintainer-mode

Hi everyone I have a question about how to save a regression model in R and how to retrieve it for making predictions in a new session. To be more specific, I fitted a multilevel logistic regression model using the lmer from the "lme4" package. I then successfully make predictions using fitted(mymodel). Since data are complex (three levels, nested, numerous categorical and

Hi! I'm displaying a contingency table with heatmap(): > svm.predPix.tabla svm.predPix CC DD LL NN NN2 CC 22 0 3 8 3 DD 0 27 0 1 0 LL 1 1 90 3 7 NN 2 0 1 11 4 NN2 0 0 5 1 20 > heatmap(svm.predPix.tabla[5:1,], Rowv=NA, Colv=NA,col = rev(heat.colors(32)), scale="column", margins=c(5,10)) and I'm happy

Martin, thanks for the good news and sorry for wasting your (and others time) by not doing my homework and query bugzilla first (lesson learned! ). I have tested the new implementation from R-devel and observe a semantic difference when playing with the parameters: # Test script 1 g <- "global" f <- function(p) { l <- "local" dump.frames() }

Hello R users, I have windows XP running Rv2.6.0 and a Solaris OS 10 x86-64 running Rv2.4.0. I transferred several large .rda files from windows to linux because of memory issues. I saved as .rda files on windows. In linux, the files load and have the proper dimensions, but will not index. I get the following error: "negative length vectors are not allowed". However, I can load

Hello I try to fit a LDA and RDA model to the same data, which has two classes. The problem now is that the training errors of the LDA model and the training error of the RDA model with alpha=0 are not the same. In my understanding this should be the case. Am I wrong? Can someone explain what the reason for this difference could be? Here my code: LDA model: =========== % x is a dataframe tmp =

Dear R developers, i have already send the question below to r-help but got no responses. Perhaps it is more suitable for r-devel due to its rather technical level. It would really help me to find a solution (or to find out that there is none). Is there any way to access/print/save the content of an environment in which an error occoured? Imagine the following testcase: test =

If save() fails because an object is not found, it should not overwrite an existing file. > a <- 1:9 > save(a, file = "a.rda") > rm(a) > load("a.rda") > a [1] 1 2 3 4 5 6 7 8 9 > rm(a) > save(a, file = "a.rda") Error in save(a, file = "a.rda") : object 'a' not found > load("a.rda") Error in

Hello all, First off, I am using R version 2.13.0 in Ubuntu. I have read previous posts in the R mailing list on saving models for later use, and the responses indicate using the R save() function to save a model and then using load() to load it is one way to go. However, when I use the save() function to save a model to a file, and then try to load it using load(), the loaded "model"

Dear list, I want to insert a recorde into a SQLite table by dbGetQuery(), but there is a problem when the value contains quotation mark. > dd<-data.frame(txt=c("having both ' and \" in character.","OK")) > library(RSQLite) Loading required package: DBI > con<-dbConnect(dbDriver("SQLite"),":memory:") >