similar to: Specifying suitable PC to run R

I have been successfully been using R on my EEE PC for some while now. Although it uses Xandros I have been able to install various pieces of software by pretending that it was Debian etch. Johannes was kind enough to continue providing binaries on CRAN for a while but I think I am the only person still living in the past as CRAN etch is currently stuck at 2.11.0 and I cannot rely on him to

In fact my first vignette full stop. I am intending to use Sweave. I have read the Sweave documentation and section 1.4 of the extensions manual and apart from (a) do not use split = TRUE (b) and include all the source components, there does not seem to be anything CRAN specific. 1 - Am I missing some other documentation? 2 - If I use a package from CTAN would that be considered within the

There are occasional comments on this list about how difficult it is to read the digest format. Since it took me a few false starts to configure my mailer to do it I have (with the encouragement of the list owner) put together a few hints. All I need now is for people who use other mailers to fill in the details in the same way as I have done for Eudora. The draft is available at

Hi all, rmvnorm()can be used to generate the random numbers from a multivariate normal distribution with specified means and covariance matrix, but i want to specify the correlation matrix instead of covariance matrix for the multivariate normal distribution. Does anybody know how to generate the random numbers from a multivariate normal distribution with specified correlation matrix? What about

Dear R User, Please, I am new to R. I want to overlay density plot for predictive interval pooled result in meta-analysis. http://addictedtor.free.fr/graphiques/graphcode.php?graph=114 Regards Frank Peter

Something about the way R processes backslashes is defeating me. Perhaps this is because I have only just started using R for text processing. I would like to change occurrences of the ampersand & into ampersand preceded by a backslash. > temp <- "R & D" > sub("&", "\&", temp) [1] "R & D" > sub("&",

I get the following error when I try reading in a table. How are 1.1, 1.2, 1.3 duplicate row names? Thx. > table <- read.table('latestWithNumber.txt', header=T) Error in "row.names<-.data.frame"(`*tmp*`, value = c("1.1", "1.2", "1.3", : duplicate 'row.names' are not allowed Yongchuan

Hi all, I have a problem to estimate Std. Error and t-value by ?polr? in library Mass. They result from the summary of a polr object. I can obtain them working in the R environment with the following statements: temp <- polr(formula = formula1, data = data1) coeff <- summary(temp), but when the above statements are enclosed in a function, summary reports the following error:

The concrete problem is that I am refereeing a paper where a confidence interval is presented for the risk ratio and I do not find it credible. I show below my attempts to do this in R. The example is slightly changed from the authors'. I can obtain a confidence interval for the odds ratio from fisher.test of course === fisher.test example === > outcome <- matrix(c(500, 0, 500, 8),

I have a series of question about methods and generics. The questions are interspersed in some text which explains what I want to do, how it works now and why I do not understand well why it works. Questions are written Q1 and so on up to Q9 and always start a new line. The concrete problem is this: it has become customary after a meta-analysis to quote various statistics to give a picture of the

Short version If I have a data frame X and I suspect that there is a dependency between the columns how do I confirm that, and how do I tell which subset of columns is involved? ================================== Long version A colleague had been trying to use the SPSS RELIABILITY procedure. It told her that the determinant of the matrix was small. She asked me what that meant and I told her

Hi, Anybody know what are the common Standard statistical methods used for the analysis of a dataset,and anybody know which of these methods give similar results Ram [[alternative HTML version deleted]]

Hello! I have some data stored into 2 separate csv file. 1 file (called A.csv) (12 results named Group1, Group2, Group3, etc...) odds ratios, 2 file (called B.csv) 12 corresponded errors. How to import that data into R and make forest plot like I saw inside help file Rmeta and meta with included different font colors and names trough X and Y axis. I know for meta libb ... out <-

consider p as random effect with 5 levels, what is difference between these two models? > p5.random.p <- lmer(Y ~p+(1|p),data=p5,family=binomial,control=list(usePQL=FALSE,msV=1)) > p5.random.p1 <- lmer(Y ~1+(1|p),data=p5,family=binomial,control=list(usePQL=FALSE,msV=1)) in addtion, I try these two models, it seems they are same. what is the difference between these two model. Is

When I go ?reshape I get told, amongst other things new.row.names logical; if TRUE and direction = "wide", create new row names in long format from the values of the id and time variables. This seems to me to be illogical, surely it should read direction = "long"? Reading the code and observing its behaviour I find that (a) the default for new.row.names is in fact NULL (b)

Hello, Dr. Viechtbauer. I am trying to perform a meta-analyis on a group of before-after studies using Metafor. I read your webpage including your correspondence with Dr. Dewey (https://stat.ethz.ch/pipermail/r-help/2012-April/308946.html), who also conducted a similar study. These information is very hepful, but I have one additonal question which I wonder if you can give me some instruction.

Dear users, Does anyone have any idea how to generate standardised beta coefficients for a ZINB model in R to compare which explanatory variables are having the greatest impact on the dependent variable? Thanks, Jeremy [[alternative HTML version deleted]]

Hi, I have a problem when I try to generate the Documentation pdf (from .rda files)in Spanish during the package creation. Could you tell me the way I can do it?. Thanks in advance. Regards. Eva [[alternative HTML version deleted]]

I am looking for an R package with which one can calculate an effect size for a set of contrasts given an omnibus chi-square test statistic (more than 1 degree of freedom). Is there such a package? Presumably, it would implement the procedure (or something like it) described by Roznow and Rosenthal 1996 Psychological Methods 1: 331-340. many thanks! Steven Orzack Fresh Pond Research Institute

Hi, I need to create the correlation table of a set of categorical data (sex, marital_status, car_type, etc.) for a given population. Basically what I'm looking for is a function like cor( ) working on factors (and, if possible, considering NAs as a level). To better express myself, the manual way should be: 1) to create a set of n-1 numeric dummies (whose assigned values are