similar to: robustbase problem [bug?] in adjbox function.

Hi, I encountered a segfault, memory not mapped error when using adjbox in robustbase. In trying to recreate the issue I found that the error occurs only for large sample size. Here is the code. > require(robustbase) Loading required package: robustbase > x <- rnorm(10) > y <- rep(1, 10) > adjbox(x ~ y) ## gives a plot > x <- rnorm(10000) > y <- rep(1,

Dear all, I am a total beginner in R, so sorry if this is the wrong place. I am using R 2.10.1 on a Mac (Mac OS 10.6.2). I have this small dataset : growth sugar 75 C 72 C 73 C 61 F 67 F 64 F 62 S 63 S I have no problem reading the table, or getting the summary, but if I try boxplot(growth~sugar, ylab="growth", xlab="sugar", data=Dataset), I have the following error :

dear R experts: I am playing with boxplots for the first time. most of it is intuitive, although there was less info on the web than I had hoped. alas, for some odd reason, my R boxplots have some fat black dots, not just the hollow outlier plots. Is there a description of when R draws hollow vs. fat dots somewhere? [and what is the parameter to change just the size of these dots?] Also, let

I'd like to suggest changes to three help pages, regarding the use of pch=NA to suppress plotting symbols. See below. Arni R 2.0.1 on WinXP === help(bxp) === The argument outpch=" " needs to be replaced with outpch=NA in two places. I actually wrote this part of the documentation myself at one point, but have now realized that pch=NA and pch=" " are not the same:

When plotting using the cex.axis argument to boxplot(), the size of the plotting symbols beyond the whiskers of the boxplot are being changes. Example: par(mfrow=c(2,1)) boxplot(c(rnorm(10), 10), horizontal=TRUE, main="Test", las=2, cex.axis=2) boxplot(c(rnorm(10), 10), horizontal=TRUE, main="Test", las=2, cex.axis=1) This is from the following line in bxp()

Greetings List, I'm having some trouble with the use of the names function in a formula. Below is an example of something that works (i.e first line), and the second line is the same formula which doesn't. I want to be able to reference the column of the dataC table so I can run the variogram iteratively with a loop. > v<-variogram(A1~1,loc=~x+y, dataC) >

Hi R-helpers, I have been struggling with calculating row and column statistics, e.g. standard deviation. I know that > datac$Mean<-rowMeans(datac,na.rm=TRUE) will give me row means. I have tried to replicate those row means with the apply function: > datac$Mean2<-apply(datac,2,mean) so that I can replace the function argument with "sd" (instead of mean) to get standard

Hi all, I am trying to fit t distribution using the function "tFit" in the library(fBasics). I am using the code tFit(datac[[2]]) and it returns the following list. Title: Student-t Parameter Estimation Call: tFit(x = datac[[2]]) Model: Student-t Distribution Estimated Parameter(s): df 78.4428 I just wonder how can I refer to the estimated parameters. I tried

Hi, I was just trying to figure out how to beautify the output of my bwplot-output. Altogether I figured most of the things out on my own. The one thing which puzzles me though are the symbols for the outliers. I can easily change the form of the median symbol by using "pch" but I don't know how to do this for outliers. Obviously the "outpch" of the

Hey, Here is a snippet that generated a boxplot and separates points so that they do not overlap. I have a problem to avoir text overlapping. Any help would be helpful. > attach(InsectSprays) boxplot(count ~ spray, data = InsectSprays, outpch = NA) stripchart(count ~ spray, data = InsectSprays, vertical = TRUE, method = "jitter", pch = 21, col =

Dear All- I am trying to merge two data files - they have different date formats and different times zones. I need to match up the date/time of the datasets and then invoke a conditional statement, such as: if dataC$mph is >= 12 then keep dataM$co23 for the corresponding time/date stamp. snippets of data files: *dataC.txt* LST in mph Deg DegF DegF2 % volts Deg

I'd like to iterate my earlier request (#7737) to change the documentation for bxp(). The argument outpch=" " needs to be replaced with outpch=NA in two places. I actually wrote this part of the documentation myself at one point, but have now realized that pch=NA and pch=" " are not the same: x <- split(rlnorm(26e4), letters) ## NA generates small file

Dear All, in the sources of robustbase, there appears a function called rPsort() (say l253 of qn_sn.c). I could not find its source in the robustbase package and a google search yields too many unrelated response. Can anyone point to its source ? thanks, -- View this message in context: http://r.789695.n4.nabble.com/Robustbase-source-question-tp3459966p3459966.html Sent from the R help

This is really odd, I've installed the binary of robustbase through synaptic on an ubuntu 8.04 machine and get: > library(robustbase) Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared library '/usr/lib/R/site-library/robustbase/libs/robustbase.so': libRlapack.so: cannot open shared object file: No such file or directory Error: package/namespace load

Martin, Although I did remove the ln libRlapack.so -> ./lapack.so and sudo apt-get install r-cran-robustbase went fine (as does if the installation is done through Synaptic), once I start R I get: > require(robustbase) Loading required package: robustbase Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared library

Dear list, I'm forwarding these 2 messages as suggested by the package developer. My system is > sessionInfo() R version 2.9.0 (2009-04-17) i486-pc-linux-gnu on Ubuntu 8.04, with r-base-core, r-base-dev and r-recommended installed from binaries through Synaptic. I normally install the rest of packages using install.packages() from within R (started from an xterminal by su) Agus

With a recent SVN build (R Under development (unstable) (2013-07-10 r63264) -- "Unsuffered Consequences"), I'm having trouble installing the robustbase package. The bottom line is that I *think* it's a 32-bit-system problem, but I could easily be mistaken. robustbase is passing its package checks: http://cran.r-project.org/web/checks/check_results_robustbase.html ... but from

Hi, I have two data sets look like below: ========================== state count1 percent1 CA 19 0.34 TX 22 0.35 FL 11 0.24 OR 34 0.42 GA 52 0.62 MN 12 0.17 NC 19 0.34 state count2 percent2 FL 22 0.35 MN 22 0.35 CA 11 0.24 TX 52 0.62 ========================== How to combine these two data set and make it look like below?

Hey there. I am running a multiple regression and want to see whether a robust regression would provide different results, since there is some heteroscedasticity and other minor violations of regression assumptions. When I run the model using the robustbase package, > modelrob=lmrob(m1) I receive the following error: > Error in qr.default(x * sqrt(ret$weights)) : > NA/NaN/Inf in

This is my first post requesting help to this mailing list. I am new to R. My apologies for any breach in posting etiquette. I am new to this language and just learning my way around. I am attempting to run some sample code and and am confused by the error message: Loading required package: rrcov Error in fitNorm2(fdat[, "FSC-H"], fdat[, "SSC-H"], scalefac = ScaleFactor) :