similar to: Can't load e1071

Returning after the long weekend, I get the following: aperrin at perrin:~/afshome/papers/microcultures/R$ R R : Copyright 2003, The R Development Core Team Version 1.7.0 (2003-04-16) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type `license()' or `licence()' for distribution details. R is a collaborative

Sorry if this is obvious, but my S skills aren't great and I haven't been able to find it documented anywhere. I want to write a new function for use with lme objects; the function will simply calculate an ICC (aka "rho") for each level of a mixed-effects model. What I need for this is pretty simple: (c(var1..varn, residual)) / sum(c(var1..varn, residual)) where var1..varn

Greetings- An odd situation has developed. I use the following code to create .eps files of two very similar graphs: postscript(file='resources.bygt.eps', onefile=FALSE, horizontal=TRUE) barplot(resources.bygt.matrix, beside = TRUE, legend.text=c('narrative','doubt'),

Please forgive my ignorance on grapics. I'm trying to make a relatively simple plot with two line plots, same axes, by mean over a series of dates. I can make the plot well like this: plot(sort(tapply(first.anti.auth.sum,date,mean), partial=1), type="l", col="yellow",ylim=c(0,2.0)) par(new=TRUE) plot(sort(tapply(first.pro.auth.sum,date,mean), partial=1),

Greetings- Running R 2.4.0 under Debian Linux, I am getting a memory error trying to read a very large file: > library(foreign) > oldgrades.df <- read.spss('Individual grades with AI (Nov 7 2006).sav',to.data.frame=TRUE) Error: cannot allocate vector of size 10826 Kb This file is, granted, quite large: aperrin at perrin:/data0/grading$ ls -l total 630304 -r-xr-xr-x 1 aperrin

Any ideas on this? nujoma:~> R R : Copyright 2002, The R Development Core Team Version 1.5.0 (2002-04-29) ... Error: couldn't find function ".Alias" Error: couldn't find function "attach" [Previously saved workspace restored] > q() Error: couldn't find function "q" > Suspended nujoma:~> kill %1 This is on a brand-new installation of R

Hi, Can R calculate an intraclass correlation coefficient for clustered data, when the outcome variable is dichotomous? By now I calculate it by hand, estimating between- and intracluster variance by one-way ANOVA - however I don't feel very comfortable about this, since the distributional assumptions are not really met.... Maybe anyone can help me? Best regards and many many thanks,

Greetings. I've been experimenting with some algorithms for document classification (specifically, a Naive Bayes classifier and a kNN classifier) and I would now like to calculate some inter-rater reliability scores. I have the data in a PostgreSQL database, such that for each document, each measure (there are 9) has three variables: ap_(measure), nb_(measure), and knn_(measure). ap is me

Greetings- I have a strange problem displaying a graph from R (1.3.1, linux) in a LaTeX document of documentclass seminar. I'm using graphicx to include the file: \usepackage{graphicx} ... \resizebox{\textwidth}{\textheight}{\includegraphics{crime.eps}} When I do this, the entire slide (including the page number) is rotated 180 degrees. Any ideas why this happens? The graph was created

Greetings- I'm venturing into a new (for me) area of using R: some presentation graphics based on R data. I'd like to compare two distributions of ordinal variables in relatively small (N=203 and 207) subsets of an R dataset. I can get a reasonably good picture of the distributions' differences with: x11() plot(table(hcd.df$auth.sum[hcd.df$datecat==1]),

Is anyone using R with postgres? I'd like to do so, but cannot seem to find any reasonable explanation of how to do so. Joshua Gramlich Chicago, IL

In the non linear mixed effects package a groupedData object can be created to facilitate modeling. The gD object includes a formula of the form 'response variable' ~ 'primary covariate' | 'grouping factor'. In experiments creating response surfaces there are 2 or more primary covariates. Is there any way to use the groupedData() function to include 2 primary

Hi, does anyone out there have a recommendation for multilevel / random effects and longitudinal analysis? My dream book would be something that's both accessible to a non-statistician but rigorous (because I seem to be slowly turning into a statistician) and ideally would use R. Peter

Sorry for the off-topic question, but I know there are some talented LaTeX users out there. Which bibliography style gives only the year in text citations (e.g "for further details, see Anderson (1992)" )? Thanks Jason -- Indigo Industrial Controls Ltd. http://www.indigoindustrial.co.nz 64-21-343-545 jasont at indigoindustrial.co.nz

Can R conduct content analysis? I search "content analysis" in mail archives and only find the concord package can compute Krippendorff's alpha. If R cannot cope with content analysis, does anyone can tell me some other softwares? Thank you very much!

Is there any package developed in R for multilevel (hierarchical) analysis of continuous and categorical dependent variables?

Hello R community, I would like to test for learning effects by subjects in my experiment. Each subject participates in six consecutive auction rounds of the same treatment. The response variable is the efficiency of an auction outcome measured by a real number. Since the efficiency increases over the six rounds, I suppose that subjects learn about the rules of the auction institution, but I

---------- Forwarded message ---------- Hello, I am analyzing a weighted, stratified, clustered survey data set with approximately 1 million observations and 50 variables. I am new to R (I'm a Stata user), and so far couldn't find any documentation on how to handle survey data. In other words, is there a specific package to handle a combination of weigths, clusters and strata. I am also

Greetings- I have some data on which I need to do something like a Hierarchical Linear Model (please bear with me, I'm only learning the technique so I don't know yet if my language is correct). Essentially I'm analyzing data at two levels simultaneously; data are about individuals an organizations of which they are members. Can someone point me toward an appropriate package in R?

Hi Folks, Could anyone point me to a good reference on linear regression models? Specifically, I am trying to gain an intuitive feel for how the standard error values are calculated for the parameter estimates. My understanding is that these are computed using the variance-covariance matrix computed from the input data matrix. Although I think I understand the math, I still don't have a