similar to: read.table segfaults

This problem is with R 1.7.0 (as released) on Linux and Solaris. Details below are from Linux, Mandrake 9.1. The problem also happened with R 1.6.2 and on Mandrake 9.0. Vignettes often (for me) provokes problems with the misleading error message: * creating vignettes ... ERROR Error in sub(pattern, replacement, x, ignore.case, extended) : invalid argument Error in buildVignettes(dir =

Forgive what may seem to be a trivial question/problem. Below is some simple R 1.2.1(Windows) code with output. > summary(mammals, digits=10) Name Body.Weight Brain.Weight Red Fox :1 Min. : 3.0 Min. : 26.0 Pig :1 1st Qu.: 35.5 1st Qu.: 138.5 Man :1 Median : 100.0 Median : 406.0 Kangaroo:1 Mean : 761.2 Mean :1000.0 Jaguar :1 3rd

Hello all I'm trying to learn how to fit a nested model in R. I found a toy example on internet where a dataset that have?3 areas and 4 sites within these areas. When I use Minitab to fit a nested model to this data, this is the ANOVA table that I got: Nested ANOVA: y versus areas, sites Analysis of Variance for y Source DF SS MS F P areas 2 4.5000 2.2500

Hi, [System info: R 1.6.1 compiled from source (no args to configure) on Redhat 7.1 Linux i/386] I have some spatial statistics programs that recently (since R 1.6.1) have generated SIGSEGV. These R programs use the splancs library as well as some C code of my own for Voronoi analysis. The program has a big loop to fit various model parameters against a spatial distribution of biological

Hello, I get a segfault when running glmmboot in my own package glmmML. Has happened many time before, but this time I get no hint of where in my C functions the error might be. I give the output below. Can this be an R bug? I suspect it has to do with repeated calls to 'vmmin' like this: for (...){ vmax = vmaxget(); vmmin(*p, b, &Fmin, bfun,

Hi, using R64.1 the summary function for simple statistics of a vector gives inaccurate results for the maximum. Example: summary(c(123456,1,2,3)) gives : Min. 1st Qu. Median Mean 3rd Qu. Max. 1.00 1.75 2.50 30870.00 30870.00 123500.00 The Max value ist wrong in a mathematical sense. I've tried with S-Plus, it gives the same result, but this seems

Full_Name: Roger Bivand Version: 1.3.0 OS: GNU/Linux RH6.2, 7.0, Debian 2.2 Submission from: (NULL) (158.37.100.64) I'm working on interfacing ANN: A Library for Approximate Nearest Neighbor Searching (http://www.cs.umd.edu/~mount/ANN/) to R, following up a prototype package I tried in May 2000. ANN is written in C++; my C++ is very weak. Last year I didn't experience any problems with

(Sorry for the cross-post--- I wasn't sure which list is more appropriate...) Hi everyone, I've run into segfaults when using my randomForest package on large dataset (e.g., 100 x 15200) and large number of trees (e.g., ntree=7000 and mtry=3000). I'm wondering if anyone can give me some hints on where to look for the problem. The randomForest package mainly consists of two things:

(Sorry for the cross-post--- I wasn't sure which list is more appropriate...) Hi everyone, I've run into segfaults when using my randomForest package on large dataset (e.g., 100 x 15200) and large number of trees (e.g., ntree=7000 and mtry=3000). I'm wondering if anyone can give me some hints on where to look for the problem. The randomForest package mainly consists of two things:

I've trapped this segfault with gdb, but I'm not sure what it means or what to do next. Paul _____ $ R -d gdb GNU gdb 4.17 Copyright 1998 Free Software Foundation, Inc. GDB is free software, covered by the GNU General Public License, and you are welcome to change it and/or distribute copies of it under certain conditions. Type "show copying" to see the conditions. There is

I've managed to trap the following segfault with xxgdb and gctorture() set. The segfault seems to move around if gctorture() is not set, but has now occurred twice in the same spot with it set. xxgdb gives the message Program received signal SIGSEGV, Segmentation fault. 0x71244 in RunGenCollect (size_needed=2) at memory.c:1027 and the source listing points to FORWARD_CHILDREN(s); in the

Howdy, Should summary() print answers with different numbers of significant figures, as in the following? > dim(iv) [1] 3000 2 > summary(iv) X1 X2 Min. :-4.15261 Min. :-3.271520 1st Qu.:-0.66188 1st Qu.:-0.671205 Median : 0.01233 Median :-0.008175 Mean : 0.01121 Mean : 0.016815 3rd Qu.: 0.67778 3rd Qu.:

Hello - R-experts, Is there any way with which we can specify the number after decimal point to take. Like I have a situation where the values are comming 0.160325923 but I only want 4 place to decimal say 0.1603. Is there any way for that. I am no expert in R- and this may sound simple to many.sorry Thanks for any help. With Regards Subhabrata

Dear R-devel, Last week I got several responses to my question about debugging segfaults in my code (original post below). After I changed the S_alloc() calls to Calloc()/Free(), the symptom was gone, but I was told to keep looking. So I did: o Switched to Calloc/Free. Electric Fence did not find any problem. o Put assert(index < bound); assert(index >=0); everywhere in the C routine

When I load a table from a data source and run summary() on it, the summary gives me basic summary statistics I'm looking for, and it also discriminates between quantitative and qualitative data and summarizes them accordingly. For example, if I do this: mydata <- read.table("data.txt") summary(mydata) I would get output like this: > summary(mydata) County

Hi, Why when I do a summary on a table it cuts off the other variables? It says Other :58 or Other: 120. how can I get the summary for all the variables under ServLoad.Task and Server.Load and Avg. CPU and Max.CPU? Thanks, summary(probF) Reboot.Id ServLoad.Task Server.Load Avg.CPU Max.CPU Event.Log Min. : 2.00 120067_122395: 5

hi- If I source the following for(k in seq(1:20)){ x<-runif(20000,min=-500,max=2000) y<-runif(20000,min=-500,max=2500) z<-runif(20000,min=-10,max=10) cat(k,"file",memory.size()) cc<-rainbow(11) plot(x,y,asp=1i,xlim=c(-500,2000),ylim=c(-500,2500),main=k,cex=1.0) for(i in seq(-10,10,2)){ points(x[z > i],y[z > i],col=cc[(12+i)/2],cex=1.0) } rm(x,y,z)

I just caught a segfault: > courses("Ingrid") *** caught segfault *** address 0x99b279c, cause 'memory not mapped' Traceback: 1: structure(y, class = oldClass(x), row.names = attr(x, "row.names")) 2: `[.data.frame`(gudata, -(1:5)) 3: gudata[-(1:5)] 4: names(gudata[-(1:5)]) 5: inherits(x, "factor") 6: is.factor(table) 7: match(x, table, nomatch =

I just caught a segfault: > courses("Ingrid") *** caught segfault *** address 0x99b279c, cause 'memory not mapped' Traceback: 1: structure(y, class = oldClass(x), row.names = attr(x, "row.names")) 2: `[.data.frame`(gudata, -(1:5)) 3: gudata[-(1:5)] 4: names(gudata[-(1:5)]) 5: inherits(x, "factor") 6: is.factor(table) 7: match(x, table, nomatch =

Dear R users, I have two n*1 integer vectors, y1 and y2, where n is very very large. I'd like to compute elbp = 4^(y1) * 5^(y2) * sum_{i=0}^{max(y1, y2)} [{ (y1-i)! * (i)! * (y2-i)! }^(-1)]; that is, I need to compute "elbp" for each (y1, y2) pair. So I made R code like below, but I don't think it's efficient Would you plz tell me how to avoid this "for"