similar to: robustbase error message

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

Subject: Re: [R-sig-Debian] ubuntu problem with 'r-cran-robustbase' [FWD Agustin Lobo] Date: Tue, 12 May 2009 13:30:49 +0200 From: Agustin Lobo <aloboaleu at gmail.com> Reply-To: aloboaleu at gmail.com To: Dirk Eddelbuettel <edd at debian.org> CC: Martin Maechler <maechler at stat.math.ethz.ch>, R-SIG-Debian at stat.math.ethz.ch References: <18953.17704.527898.355877

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

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

Hello all, I'm using R2.7.0 (on Windows 2000) and I'm trying do run a robust regression on following model structure: model = "Y ~ x1*x2 / (x3 + x4 + x5 +x6)" where x1 and x2 are both factors (either 1 or 0) and x3.....x6 are numeric. The error code I get when running rlm(as.formula(model), data=daymean) is: error in rlm.default(x, y, weights, method = method, wt.method =

Hi all and thanks for your time in advance, I can't figure out why summary.lmrob complains when lmrob is used on a zooreg object. If the zooreg object is converted to vector before calling lmrob, no problems appear. Let me clarify this with an example: >library(robustbase) >library(zoo) >dad<-c(801.4625,527.2062,545.2250,608.2313,633.8875,575.9500,797.0500,706.4188,

I am looking at MM-estimates for some interlab comparison work. The usual situation in this particular context is a modest number of results from very expensive methods with abnormally well-characterised performance, so for once we have good "variance" estimates (which can differ substantially for good reason) from most labs. But there remains room for human error or unexpected chemistry

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

Dear R-experts, I am trying to do cross-validation for different models using the cvTools package. I can't get the CV for the "FastTau" and "hbrfit". I guess I have to write my own functions at least for hbrfit. What is going wrong with FastTau ? Here below the reproducible example. It is a simple toy example (not my real dataset) with many warnings, what is important to

Hello. I've got a dataset that may have outliers in both x and y. While I am not at all familiar with robust regression, it looked like the function lmrob in package robustbase should handle this situation. When I try to use it, I get: Too many singular resamples Aborting fast_s_w_mem() Looking into it further, it appears that for an indicator variable in one of my interaction terms, 98%

Hard to help you if you don't provide a reproducible example. On Sun, Mar 4, 2018 at 1:05 PM, Christien Kerbert < christienkerbert at gmail.com> wrote: > d is the number of observed variables (d = 3 in this example). n is the > number of observations. > > 2018-03-04 11:30 GMT+01:00 Eric Berger <ericjberger at gmail.com>: > >> What is 'd'? What is

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

d is the number of observed variables (d = 3 in this example). n is the number of observations. 2018-03-04 11:30 GMT+01:00 Eric Berger <ericjberger at gmail.com>: > What is 'd'? What is 'n'? > > > On Sun, Mar 4, 2018 at 12:14 PM, Christien Kerbert < > christienkerbert at gmail.com> wrote: > >> Thanks for your reply. >> >> I use

Thanks for your reply. I use mvrnorm from the *MASS* package and lmrob from the *robustbase* package. To further explain my data generating process, the idea is as follows. The explanatory variables are generated my a multivariate normal distribution where the covariance matrix of the variables is defined by Sigma in my code, with ones on the diagonal and rho = 0.15 on the non-diagonal. Then y

Dear R-experts, Here below my reproducible R code. I want to add many straight lines to a plot using "abline" The last fit (fast Tau-estimator, color yellow) will not appear on the plot. What is going wrong ? Many thanks for your reply. ########## Y=c(2,4,5,4,3,4,2,3,56,5,4,3,4,5,6,5,4,5,34,21,12,13,12,8,9,7,43,12,19,21)

What is 'd'? What is 'n'? On Sun, Mar 4, 2018 at 12:14 PM, Christien Kerbert < christienkerbert at gmail.com> wrote: > Thanks for your reply. > > I use mvrnorm from the *MASS* package and lmrob from the *robustbase* > package. > > To further explain my data generating process, the idea is as follows. The > explanatory variables are generated my a

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

On 31/03/2018 11:57 AM, varin sacha via R-help wrote: > Dear R-experts, > > Here below my reproducible R code. I want to add many straight lines to a plot using "abline" > The last fit (fast Tau-estimator, color yellow) will not appear on the plot. What is going wrong ? > Many thanks for your reply. > It's not quite reproducible: you forgot the line to create

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, 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