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Full_Name: Din Chen Version: 2.4.0 OS: Windows XP Submission from: (NULL) (66.17.122.18) I just updated the R.2.4.0. and got the error message for random effect modelling, which was working on R.2.3.1. library(lme4) mmod <- lmer(bright ~ 1+(1|operator), pulp) summary(mmod) Then when I tried to extract the residuals and random effect using: resid(mmodr) ranef(mmodr) I got error message:

Hello everyone, With th bar histogram (number of occurrences) hist<-c(24,7,4,1,2,1,1) of seven equally spaces classes ]1-4], ]5-8], ]9-12], ]13-16], ]17-20], ]21-24], ]25-28], I obtained shape=0.8276 and rate=0.1448. I would like to know how to build the continuous pdf of a this gamma distribution knowing these two estimated parameters such that I will be able to predict the pdf of any

I am working on a SLES 10 cluster with R available on it. To better use my resources, I want to use Rmpi, but I am having a difficult time installing it. I have set the $R_LIBS variable correctly. The MPI libraries are available through the PGI compiler, but this R instance was compiled with GCC. The Rmpi package can be compiled and installed with %R CMD INSTALL Rmpi_0.5-5.tar.gz

Dear all, I'm modeling growth curve of some ecosystems with respect to their rainfall-productivity relationship using a simple linear regression (ANPP(t)=a+b*Rain(t)) and a modified version of the Brody Model ANPP(t)=a*(1-exp(-b*rain(t))) I would like to know why the "best model" is function of the criteria that I use (maximizing the fit using R2 or testing the Null hypothesis with

Dear R-users, I got problem when using both RMPI and RMySQL together and I thought some body in this forum can help me. I have a huge data set (more than 300,000 rows) and I would like to modify only few observations. I wrote the modifications in a function form and able to send the function to slaves using Robj2slaves from RMPI package. However the function needs MySQL data base name to extract

Hello all, I would like to read the specific line number row of a direct access file (which is stored as a n_row*n_col matrix of elements kind=p) without reading all the preceding lines (i.e 1,2,..,row-1). Is there a function in R that can perform this task? To solve my issue, I tried without to call Fortran from R by doing the following steps: I) I wrote a subroutine in fortran called

I am making frequency histograms using the histbackback function on my 2 datasets. However when I try to use the brks function: foo<-histbackback(log(fie11), log(fie86),ylim=c(0,9),probability=FALSE,axes=TRUE,ylab=("log10 Parcel Size"),brks=16) The graphic results in a 'NA' label for the y axis (no intervals are returned) Also when I use 'summary(foo)' the

Hello everyone, I'm trying to perform some trend analysis using the package "Kendall" and for some observations I get the following error "WARNING Error exit, tauk2, IFAULT = 12" Could anyone tell me how to create a logical vector of observations having its element equal to TRUE if this error happened and FALSE if not? I'm thinking about something similar as

Hello everyone, I try without success to install the package rPython I get the message ----------------------------------------------------------------------- * installing *source* package ‘rPython’ ... could not locate python-config ERROR: configuration failed for package ‘rPython’ * removing ‘/home/armel/R/x86_64-pc-linux-gnu-library/2.14/rPython’ The downloaded packages are in