similar to: Installing RGL on SuSE 9.3

I am using Redhat Linux and my info is below. I was trying to install the rgl package using R CMD INSTALL and it was doing fine until it got to the compilation of a pixmap program ? Does anyone know what I could do to fix that ? Is it possible that this package is not usable on this platform ? Thanks. sessionInfo() R version 2.5.0 (2007-04-23) i686-pc-linux-gnu locale: C attached base

Hello, I am trying to install rgl package under R and getting some errors which is below. > install.packages("rgl") Warning in install.packages("rgl") : argument 'lib' is missing: using '/usr/lib/R/library' trying URL 'http://cran.csie.ntu.edu.tw/src/contrib/rgl_0.91.tar.gz' Content type 'application/x-gzip' length 1677498 bytes (1.6 Mb)

Dear R list, I am having problem installing the package rgl on a redhat system. System info: Linux lci4.eu.novartis.net 2.6.9-22.ELsmp #1 SMP Mon Sep 19 18:00:54 EDT 2005 x86_64 x86_64 x86_64 GNU/Linux R sessionInfo(): R version 2.12.1 (2010-12-16) Platform: x86_64-unknown-linux-gnu (64-bit) locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_US.UTF-8

Dear All, I am trying to graph a simple scatter plot where the x axis is year and the y axis is a percentage (percentage of infant death). Instead of plotting the raw data, I want to plot summary statistics such as mean and median. Here is the problem: the value range of y is between 0 and 1, but since infant death is a rare event, the mean and median is very low (something like 5%), which shows

Dear All, Are there R packages that can estimate survival model with long-term survivors? This is sometimes known as "cure" model or "split-population" model. Thanks. Shige [[alternative HTML version deleted]]

Dear All, When I tried to run the following code (taken from the *spdplyr* package vignettes): library(spdplyr) library(maptools) data(wrld_simpl) worldcorner <- wrld_simpl %>% mutate(lon = coordinates(wrld_simpl)[,1], lat = coordinates(wrld_simpl)[,2]) %>% filter(lat < -20, lon > 60) %>% dplyr::select(NAME) I got the following error messages: Error in (function (cl,

Dear All, Can anyone give me some hints about how to set starting values for a lmer model? For complicated models like this, good starting values can help the numerical computation and make the model converge faster. Thanks! Shige [[alternative HTML version deleted]]

Dear Colleagues, In the following simple ggplot2 code: -------------------------------- m <- ggplot(d.fig, aes(time, prob)) m + stat_summary(fun.data = "median_hilow", conf.int = .95, geom = "smooth") + facet_wrap(~ Cohort, nrow=1) + coord_cartesian(ylim = c(0, .03)) -------------------------------- Is there a way to replace the y-axis label from "prob" to

Dear All, I am trying to compile&install the package "RGtk2" on my Ubuntu 10.04 box. I did not have problem with earlier versions, but with the new version, I got the following error message : ------------------------------------------------------------------------------------------------- * installing *source* package ?RGtk2? ... checking for pkg-config... /usr/bin/pkg-config

Dear All, I am trying to compile&install the package "RGtk2" on my Ubuntu 10.04 box. I did not have problem with earlier versions, but with the new version, I got the following error message : ------------------------------------------------------------------------------------------------- * installing *source* package ?RGtk2? ... checking for pkg-config... /usr/bin/pkg-config

Dear All, Is there a way to present results from multiple models in one LaTeX table? I did some google search and found out that xtable cannot automate this process (https://stat.ethz.ch/pipermail/r-help/2006-August/111174.html), are there other alternatives? What about Design and Hmisc? Thanks. Best, Shige

Dear All, I have been using Sweave (mainly via the Sweave.sh script) and really like it. I am working a paper (using Sweave, of course) which includes several time-consuming computations, and it gets tedious to re-compile the whoel thing every time I made changes. Then I discover the "cacheSweave" package, which seems the right solution to my problem. I only have on problem. Here is

Dear All, After playing with lmer for couple of days, I have to say that I am amazed! I've been using quite some multilevel/mixed modeling packages, lme4 is a strong candidate for the overall winner, especially for multilevel generzlized linear models. Now go back to my two-level poisson model with cross-classified model. I've been testing various different model specificatios for the

Hi all, I have managed to compile libpng using wllvm and obtain the IR of pngpixel ( small tool which is part of libpng ). libpng has a function called png_check_IHDR: void /* PRIVATE */ png_check_IHDR(png_const_structrp png_ptr, png_uint_32 width, png_uint_32 height, int bit_depth, int color_type, int interlace_type, int compression_type, int filter_type) { int error = 0; /*

Actually, I re-read the post and think it needs clarification. We may both be right. If the question is "I am building a model and want to know if I should retain this random effect?" (or something like that) then the LRT should be used to compare the fitted model against another model. This would be accomplished via anova(). In other multilevel programs, the variance components are

Hi David, My question is: why both #ifdef and #else branches are missing? I think at least one of the two should be present... In fact there is a case where the width could be greater then PNG_USER_WIDTH_MAX but not greater then PNG_UINT_31_MAX. That's why I was expecting at least one of the two... Thanks Alberto On Wed, Dec 18, 2019, 22:12 David Blaikie <dblaikie at gmail.com>

Dear All, With kind help from several friends on the list, I am getting close. Now here are something interesting I just realized: for random effects, lmer reports standard deviation instead of standard error! Is there a hidden option that tells lmer to report standard error of random effects, like most other multilevel or mixed modeling software, so that we can say something like "randome

Dear All, I am fitting a simple GAM model using the "gam" function in the "mgcv" package. The only independent variable is a continuous variable representing the time of the event (in year and month) coded so that "0" represents January 1960, "1" represents February 1960, etc. Now when I try to plot the results, my x-axis ranges from "-200" to

It's been a while since this thread appeared, but I had the same problem and don't want to keep the solution for myself. A small, reproducible example: <<cache=true>>= a=1 @ <<>>= a+1 @ Compiling with cacheSweave gives an error: > library(cacheSweave) Lade n?tiges Paket: filehash filehash: Simple key-value database (2.0-1 2008-12-19) Lade n?tiges Paket:

Dear All, I am doing a growth modeling using NLME. I have three levels in my data: observation, individual, household. About half of my total sample have missing values in my household-level covariates. Under this situation, the best way to go is probably to multiply impute the data (for, say, 5 times), estimate the same model separately on each model using LME function, and merge the results. My