similar to: [Fwd: Re: ubuntu problem with 'r-cran-robustbase' [FWD Agustin Lobo]]

Agustin, posted on R-help. I think the problem is one of the debian/ubuntu package 'r-cran-robustbase' and its setup or (missing?) dependencies. I can confirm Agustin's problem, working on Ubuntu 8.04.2 (8.04 is a "LTS" = long time support version). apt-get install r-cran-robustbase works fine, but when trying to load the package, there's a DLL - dependency on

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

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

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

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

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,

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

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) :

hello list, i'm a bit puzzled by the error message i get when i copy past this in R:

Dear R Users, Is there a known problem with downloading packages robustbase and tseries from the UK CRAN website ? Thanks in advance, Tolga ========================================================= R version 2.7.1 (2008-06-23) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to

I'm doing: > alyL32007z <- zoo(alyL32007,alyL32007$time) > range(time(alyL32007z)) [1] "2007-01-01 00:00:00 UTC" "2007-12-31 23:30:00 UTC" But then, while the original variable is: > summary(alyL32007$NEE_st) Min. 1st Qu. Median Mean 3rd Qu. Max. NA's -15.340 -1.615 -0.054 -0.814 0.750 8.965 11124 the variable within the zoo object

Hi! Is not there an standard R function to retrieve the day of the year (since 1st Jan of the same year)? I know I can make my own using julian, but find it weird that having days(), months() etc doy() does not exist as an standard function. Also, is the following not a bit inconsistent? > a <- chron("20100506",format="ymd") > a [1] 100506 > years(a) [1] 2010

By Ctr-moving the cursor over a point in an iplot() scatterplot (package iplots) it is possible to check the exact x,y coordinates of a given point. Is it possible to check a text label for that point as well? (i.e., the same info that would get printed on the graphic using text(x,y, labels=v) or with identify(x,y,labels), but I do not want to get the labels permanently plotted on the graphic)

Is there an specific function to eliminate blank space within strings? Thanks -- Dr. Agustin Lobo Institut de Ciencies de la Terra "Jaume Almera" (CSIC) LLuis Sole Sabaris s/n 08028 Barcelona Spain Tel. 34 934095410 Fax. 34 934110012 email: Agustin.Lobo at ija.csic.es http://www.ija.csic.es/gt/obster

Hi! Is there any way of having a greyed ("ghosted") text (i.e, 2006) in the background of a plot? I'm making a dynamic plot and would like to show the year of each time step as a big greyed text in the background. (the idea comes from Hans Rosling video: http://video.google.com/videoplay?docid=4237353244338529080&sourceid=searchfeed ) Thanks Agus -- Dr. Agustin Lobo Institut

Hi! Given a vector (or a factor within a df),i.e. v1 <- c(1,1,1,2,3,4,1,10,3) and a dictionary cbind(c(1,2,3),c(1001,1002,1003)) is there a function (on the same line than recode() in car) to get v2 as c(1001,1001,1001,1002,1003,4,1001,10,1003) ? I'm using myself a function based on match() since long ago (I think that thanks to advice by Prof. B. Ripley), but would like to know if there

Given: > mitest <- matrix(1:16,ncol=4) > dimnames(mitest)[[1]] <- c("a","b","c","d") > dimnames(mitest)[[2]] <- c("a","b","c","d") > mitest a b c d a 1 5 9 13 b 2 6 10 14 c 3 7 11 15 d 4 8 12 16 I can do: > mitest[cbind(c(1,2,3),c(2,3,2))] [1] 5 10 7 but using the names does not

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

You need to pay attention to the documentation more closely. If you don't know what something means, that is usually a signal that you need to study more... in this case about the difference between an input variable and a design (model) matrix. This is a concept from the standard linear algebra formulation for regression equations. (Note that I have never used RobPer, nor do I regularly

R-experts, I have fitted many different lines. The fast-tau estimator (yellow line) seems strange to me?because this yellow line is not at all in agreement with the other lines (reverse slope, I mean the yellow line has a positive slope and the other ones have negative slope). Is there something wrong in my R code ? Is it because the Y variable is 1 vector and should be a matrix ? Here is the