similar to: Package installation failed

Hi Uwe and all, Error message was: error in normalizePath(path) : path[1]: no such file to load Many thanks, Odette On Fri, Jan 23, 2009 at 1:22 AM, Uwe Ligges <ligges@statistik.tu-dortmund.de > wrote: > > > Odette Gaston wrote: > >> Hi folks, >> >> I am currently having the problem with using R 2.8.1 that I cannot install >> some of packages from

Odette Gaston wrote: > Hi folks, > > I am currently having the problem with using R 2.8.1 that I cannot install > some of packages from CRAN or local drive and somebody may be able to help > me. > ex) faraway package and lme4 package. I have downloaded them in my hard > drive as local, but still R was unable to find the package (message showed > up as no such file). I

Odette > Wondering how can I generate "Akaike weight" with R? I know the description, > but is there any function to generate by R on the web-site or R library? > I am using GLM or GLMM (family=binomial), so would be appreciated if you > help me. You could have a look at this. http://bm2.genes.nig.ac.jp/RGM2/R_current/library/aod/man/summary.aic.html Which is in the OAD

Dear all, Is it possible to generate AIC or something equivalent for nonlinear model estimated based on maximum log likelihood l in R? I used nls based on least squares to estimate, and therefore I cannot assess the quality of models with AIC. nlme seems good for only mixed models and mine is not mixed models. res <- nls(y ~ d*(x)^3+a*(x)^2+b*x+c, start=list(a=2, b=1,c=1,d=1), data=d) If

Hello, I have compared the potentials of R and Stata about GLMM, analysing the dataset 'ohio' in the package 'faraway' (the same dataset is analysed with GEE in the book 'Extending the linear model with R' by Julian Faraway). Basically, I've tried the 2 commands 'glmmPQL' and 'glmer' of R and the command 'xtmelogit' of Stata. If I'm not

The object is a mcmc sample from lmer. I am using R v2.7.1. Please let me know what additional information I can provide, hopefully I am just making a simple mistake. Thanks in advance! > data(ratdrink, package = 'faraway') > rd.er <- lmer(wt ~ weeks*treat + (1 | subject), data = ratdrink) > rd.mc <- mcmcsamp(rd.er, 10000) > library(coda) Loading required package:

Full_Name: José Otero Version: Version 1.5.0 (2002-04-29) OS: Redhat 7.3 Submission from: (NULL) (192.187.16.164) Hi: Installation of package faraway as root, from tarbal: R CMD INSTALL ./faraway.tar.gz ERROR: cannot extract package from './faraway.tar.gz' idem, from zipped package: R CMD INSTALL faraway.zip gzip: faraway.zip has more than one entry--rest ignored ERROR: cannot

Dear R- users and Helpers: I downloaded the package from www.stat.lsa.umich.edu/~faraway/book and installed it from local zip file. It looked fine. But when I input library(faraway) it showed " Error in library(faraway) : 'faraway' is not a valid package --- installed < 2.0.0? What I used is R 2.0.0 version now. What should I do? Thank you very much. Xin

I am unable to install package lme4, after several attempts to do so using various repository URLs. Just to make sure everything works fine with proxy, connection, etc, I installed ggplot2 and it worked fine. I am using command install.packages("lme4", lib="/myRlibs"), optionally using contrib argument with different URLs. Error message the I get is Warning message; In

Hi, We recently switched from R2.7.0 to R2.8.1 but having problems tracking down this 'invalid multibyte character' encoding issue. Can someone point us how to solve this? > sessionInfo() R version 2.8.1 (2008-12-22) x86_64-unknown-linux-gnu locale:

Hi, I have an S4 class that inherits from "array" but does not add generic implementations of the "[" method. A simplified example is: setClass("fooarray", contains="array") If I create a "fooarray" object and subset it with a one-dimensional index vector, the return value is of class "fooarray". Other variants (see below), however,

I am just about working through Faraways excellent tutorial "practical regression and ANOVA using R" on page 24 he makes the x matrix: x <- cbind(1,gala[,-c(1,2)]) how can I understand this gala[,-c(1,2)])... I couldn't find an explanation of such "c-like" abbreviations anywhere. thanks for a hint. another problem: I couldn't load the faraway library, using the

Hi- I just upgraded R to 3.0.0 from 2.15.1 (which worked fine). When I started trying to install updated versions of the libraries, I saw the following error: > install.packages("lme4") Installing package into 'c:/Docume~1/melissa/R/win-library/3.0' (as 'lib' is unspecified) Warning in install.packages :

Odette Gaston <odette.gaston <at> gmail.com> writes: > > Dear all, > > I have a problem with accessing class attributes. > I was unable to solve this > yet, but someone may know how to solve it. My best guess at your immediate problem (doing things by hand) is that you're not using the whole vector. From your example: Delta <- c(m1 = 0, m2 = 1.8, m3 =

Hi, I am compiling R2.8.1 on a Sun M4000 machine with Solaris 10. I am using Sun Studio 12. I get the following error: cc -xtarget=native64 -G -L/usr/sfw/lib/sparcv9 -L/opt/csw/lib/sparcv9 -o grDevices.so chull.o devNull.o devPicTeX.o devPS.o devQuartz.o init.o mkdir ../../../../library/grDevices/libs Warning in solve.default(rgb) : unable to load shared library

Hi R community! I am analyzing the data set "motorins" in the package "faraway" by using the generalized additive model. it shows the following error. Can some one suggest me the right way? library(faraway) data(motorins) motori <- motorins[motorins$Zone==1,] library(mgcv) >amgam <- gam(log(Payment) ~ offset(log(Insured))+ s(as.numeric(Kilometres)) + s(Bonus) + Make +

Hi there, >library(faraway) >pima pregnant glucose diastolic triceps insulin bmi diabetes age test 1 6 148 72 35 0 33.6 0.627 50 1 2 1 85 66 29 0 26.6 0.351 31 0 >data(pima) >pima pregnant glucose diastolic triceps insulin bmi diabetes age test 1 6 148 72 35 0 33.6

check the following code: # settings n <- 100 # number of sample units p <- 10 # number of repeated measurements N <- n * p # total number of measurements t.max <- 3 # parameter values betas <- c(0.5, 0.4, -0.5, -0.8) # fixed effects (check also 'X' below) sigma.b <- 2 # random effects variance # id, treatment & time id <- rep(1:n, each = p) treat <- rep(0:1,

Full_Name: Partho Bhowmick Version: 2.8.1 OS: Windows XP Submission from: (NULL) (199.43.48.131) While trying to install package sn (I have tried multiple mirrors), I get the following message trying URL 'http://www.revolution-computing.com/cran/bin/windows/contrib/2.8/sn_0.4-10.zip' Content type 'application/zip' length 320643 bytes (313 Kb) opened URL downloaded 313 Kb

Just wanted to alert everyone regarding a problem that I only experience with R2.9.0 and not with R2.8.1 when I run both using exactly the same script and the same data. Here is what I do with my data "MyData", 2 predictors (V1 and V2) and my survival DV "Depvar": library(survival)