similar to: problem building R from svn repo

Hola! I am sending this to the list since emails from me to Simon Wood has bounced earlier. I get: > library(tsDyn) Loading required package: mgcv Erro en `parent.env<-`(`*tmp*`, value = NULL) : use of NULL environment is defunct Error: package 'mgcv' could not be loaded > library(mgcv) Erro en `parent.env<-`(`*tmp*`, value = NULL) : use of NULL environment

I am experimenting with rSymPy, and it seems to work nice. However, I dislike the need to wrap all sympy expressions within quotes, it leads to ugly calls like library(rSymPy) Var("x,y,z") sympy("(x+y)**2") and so on. Inspired by the function cq from mvbutiles package: library(mvbutils) > cq function (...) { as.character(sapply(as.list(match.call(expand.dots =

Hola! Este mail llegó a r-help hoy, yo lo mandó también a esta lista. Es interesante con competiciones de predicción/clasificación! ¿Alguien que quiere cooperar? Kjetil ---------- Forwarded message ---------- From: Kjetil Halvorsen <kjetilbrinchmannhalvorsen@gmail.com> Date: Fri, Jan 29, 2010 at 12:19 Subject: Fwd: [R] Classification of supernovae - a challenge To: Kjetil Halvorsen

The following seems to be an bug in prcomp(): > test <- ts( matrix( c(NA, 2:5, NA, 7:10), 5, 2)) > test Time Series: Start = 1 End = 5 Frequency = 1 Series 1 Series 2 1 NA NA 2 2 7 3 3 8 4 4 9 5 5 10 > prcomp(test, scale.=TRUE, na.action=na.omit) Erro en svd(x, nu = 0) : infinite or missing values in 'x'

Hola! I am working on a problem where data points are (square) matrices. Is there a way to make a "vector" of matrices, such that it can be stored in a data.frame? Can that be done with S3? or do I have to learn S4 objects & methods? Kjetil

Your understanding isn't similar to mine. Mine says robust/resistant methods are for data with heavy tails, not heteroscedasticity. The common ways to approach heteroscedasticity are transformation and weighting. The first is easy and usually quite effective for dose-response data. The second is not much harder. Both can be done in R with nls(). Andy From: Quin Wills > > I am

I'm trying to (re)learn Sweave and run into some problems. I use now ubuntu (8.10), emacs + ess. Slowly getting upto speed on ess. I have a complete (hopefully) .Rnw file, but the resulting .tex will not compile. The file does not contain anything exotic, but it produces pdf figures, and that is where the problems come: library(tools) > Sweave("varioCoo.Rnw") Writing to file

I am trying to install a local package and get this unexpected error: ---------- Making package UMSA ------------ adding build stamp to DESCRIPTION installing R files installing data files installing man source files installing indices Error: couldn't find function "na.omit" Execution halted na.omit of course is in package stats, and that is listed in the Depends field in

Hello, I would like to know if there is an R-package available for computing the density, distribution function, quantiles and random numbers of the p-generalized normal distribution or if somebody is already working on it. Best regards, Steve Kalke

After using options(error=recover), it takes a long time (too long) to get back to the prompt. Look at: Browse[1]> recover() Enter a frame number, or 0 to exit 1: window(test, start = c(15, 1), end = c(17, 1), extend = TRUE) 2: window.ts(test, start = c(15, 1), end = c(17, 1), extend = TRUE) 3: as.ts(window.default(x, ...)) 4: window.default(x, ...) 5: function () 6: eval(quote(browser()),

Hola! I had my hard disk and cpu fried, so had to reinstall debian from scratch, and now I have problems compiling R R-2.14.0. My system is wheezy with Xfce4 desktop. (-amd-64) ./configure make runs without problems, but make test dose not! Here is some of the output from make test: kjetil at kjetil:~/R/R-2.14.0$ make check make[1]: Entering directory `/home/kjetil/R/R-2.14.0/tests'

I think the subject says it all. I want to make a simple lattice plot, using xyplot with the argument type=c("l","a"). The problem then is that in the resulting plot it is difficult/impossible to see which plot corresponds to the average and which to the individual profiles. I triedthings like extra arguments lwd=c(1,3) or col=c("blue","red") hoping

Hello friends, I would like to thank you all for your advices. Rcmdr is gread. All the best, Mehdi ********************* Mehdi Zarrei, PhDPostdoctoral fellowUniversity of Toronto Dept. of Ecology & Evolutionary Biology Royal Ontario Museum Department of Natural History Green Plant Herbarium (TRT) 100 Queen's Park Toronto, On., M5S 2C6, CanadaE-mail:

When I do t.test on two distributions (see example below), it outputs numerous data about the t.test. What I'd like to do is individually capture some of this data and assign it to other variables. However, I am unable to find anything in the help section. In the example below, the t value is -4.0441 and the p-value is 0.006771 How can I assign these values to two variables, let's

I downloaded the tarball for R-2-12.0, made ./configure make without problems. Then make test ...which have now been running for more than an hour, and seems to have stalled at: comparing 'reg-plot-latin1.ps' to './reg-plot-latin1.ps.save' ... OK make[3]: Leaving directory `/home/kjetil/R/R-2.12.0/tests' make[2]: Leaving directory `/home/kjetil/R/R-2.12.0/tests' make[2]:

Dear all, I have a dataset where I reduced the dimensionality, and now I have a response variable with probabilities/proportions between 0 and 1. I wanted to do a logistic regression on those, but the function glm refuses to do that with non-integer values in the response. I also tried lrm, but that one interpretes the probabilities as different levels and gives for every level a different

Dear all, Either I'm being totally blind now (as you know, the eyes are the first thing that is blinded :-)), or something is missing in "An Introduction to R". The section heading of section 5.7.1 is "Multiplication, inversion and solving linear equations", and since I was looking for the canonical way of inverting a matrix, this was the place to look. However, I found

I am trying to source a file defining a dataset, giving the full path. (rw1031 on windows 98) > source("c:\\kjetil\\audiometria\\data\\audiometria.R") Error in parse(file, n, text, prompt) : syntax error on line 6 also: > parse(file="c:\\kjetil\\audiometria\\data\\audiometria.R", n=-1) Error in parse(file, n, text, prompt) : syntax error on line 6 This seems very

I get the following > library(foreign) Error in namespaceExport(ns, exports) : undefined exports: write.foreign Error in library(foreign) : package/namespace load failed for 'foreign' with rw2000dev as of (2004-09-17 Kjetil -- Kjetil Halvorsen. Peace is the most effective weapon of mass construction. -- Mahdi Elmandjra

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