similar to: mgcv in R-2.4.0.alpha

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Hola! I have some problems with gam in mgcv. Firts a detail: it would be nice igf gam would accept an na.action argument, but that not the main point. I want to have a smooth term for time over a year, the same pattern repeating in succesive years. It would be natural then to impose the condition s(0)=s(12). Is this possible within mgcv? I tried to obtain this with trigonometric terms, aca:

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'

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 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

Hi all, I'm looking for smooth monotone estimation packages, preferably using splines. I downloaded the 'cobs' package and intend to use it, but since it offers only quadratic splines based on L1 minimization, I'd like to compare its performance to that of a more 'mainstream' cubic-spline, L2-norm minimizing spline. Preferably a smoothing spline. Does anyone know of such

Hola! I just changed my laptop to debian squeeze, downloaded R devel from svn repo, as described in the manual. Then I configured for building in a separate build dir with: kjetil at kjetil:~/R/Rbuilddir$ sudo ../svn/configure --- which succeeded, with: R is now configured for x86_64-unknown-linux-gnu Source directory: ../svn Installation directory: /usr/local C

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

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

I noticed that in "R version 2.4.0 alpha (2006-09-16 r39365)" on Windows XP that I get this error: C:\Rpkgs>Rcmd install mypkg no Perl script 'install' The same command worked with no error in 2.3.1pat. If I capitalize INSTALL it does work; however, this was not necessary previously. Note that C:\Rpkgs>Rcmd check mypkg unlike install, still works in either lower or

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

In a newly downloaded version (today) of R-2-4-0alpha, with all packages from CRAN also installed today, I get: > library(Matrix) Erro en loadNamespace(package, c(which.lib.loc, lib.loc), keep.source = keep.source) : in 'Matrix' methods specified for export, but none defined: BIC, anova, coef, confint, deviance, fitted, fixef, formula, head, lmer, logLik, mcmcsamp, plot,

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

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 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

Buenas. Sé que en R hay multitud de datasets y me haría falta alguno que trataran de variables relacionadas con salud, sobre todo para aprender más acerca de cómo realizar una regresión logística binomial o multinomial. Gracias..

Dear all, I admit this is not anything to do R and even with Statistics perhaps. Strictly speaking this is a math related question. However I have some reasonable feeling that experts here would come up with some elegant suggestion to my question. Here my question is: What is sum of all Integers? I somewhere heard that it is Zero as positive and negative integers will just cancel each other out.

Dear friends, I have install the last version 2.10 and now I have probles with 'mgcv' which can be load. I proved to eliminated and reinstalled but always obtain the same message: > library (mgcv) This is mgcv 1.6-1. For overview type `help("mgcv-package")'. Error in runif(1) : .Random.seed is not an integer vector but of type 'list' Error : .onAttach non

Hi All: I tried to update the package mgcv from my current version 1.1-8 to mgcv version 1.2. Using the command update.packages("mgcv") to update mgcv failed in my computer and the returning message was: "Error in old.packages(lib.loc=lib.loc, contriburl=contriburl, method=method, :no installed.packages for (?invalid) lib.loc=mgcv" When I typed installed.packages(), I got