similar to: Manipulating code?

Hi there, I have subscribed to R-help but am not sure how to view or post questions? I think this is the right way. I am planning on doing a multivariate regression investigating the relationship between depression (a continuous variable) and social support variables (mostly continuous, some categorical) among older people. I have a number of demographic and health-related variables that I am

I have a data set where I want the correlations between 2 variables conditional on a students grade level. This code works just fine. by(tmp[,c('mtsc07', 'DCBASmathscoreSPRING')], tmp$Grade, cor, use='complete', method='pearson') However, this generates an error by(tmp[,c('mtsc07', 'DCBASmathscoreSPRING')], tmp$Grade, cor, use='complete',

Hello, I can't find the information on the wiki :( When is the quota recalculated after a mail deletion ? For instance, I am running low of storage and I use Thunderbird to delete large mail. I only notice a recalculation when I quit Thunderbirdb and I relaunch it. Even, with doveadm CLI, as long as Thunderbird is not disconnected on the client side, the server didn't recalculate the

I am trying to model survival data with a Weibull distribution using survreg. Units are clustered two apiece, sometimes receiving the same treatment and sometimes opposing treatment.

What is the least surprising way of initializing a factor with predefined levels and with length 0? as.factor(c("eins", "zwei", "drei"))[FALSE] does the job but looks a bit weird. -- Johannes H?sing There is something fascinating about science. One gets such wholesale returns of conjecture mailto:johannes at

I am about to give an introduction to R to some clinical data managers used to SAS. There is already a lot of material in printed form and on the web that paves the way. What I haven't found so far are text wrapping capabilities in setting tables in raw text as in SAS PROC REPORT. At the moment i would direct them at producing HTML output from R and pipe the result through lynx. Coming from

I am failing to uncover Sweave chunks step by step using the LaTeX beamer class. The following minimal example: \documentclass{beamer} \usepackage{Sweave} \begin{document} \begin{frame}[fragile] In the year \uncover<2->{25}\uncover<3->{\Sexpr{5*5}} \uncover<4->{ <<echo=TRUE, print=TRUE>>= 5*5*101 @ } \end{frame} \end{document} leads to an error message when

Whenever I try to load the Matrix package, I get the following error message: libRlapack.so: cannot open shared object file: No such file or directory A file with that name is indeed not on the hard disk. I am using the R version which comes with Ubuntu Hardy Heron LTS. Here is the output of R.Version(): R.Version() $platform [1] "i486-pc-linux-gnu" $arch [1] "i486" $os [1]

Dear all, I have 3 models (from simple to complex) and I want to compare them in order to see if they fit equally well or not. From the R prompt I am not able to see where I can get this information. Let´s do an example: fit1<- lm(response ~ stimulus + condition + stimulus:condition, data=scrd) #EQUIVALE A lm(response ~ stimulus*condition, data=scrd) fit2<- lm(response ~ stimulus +

Hi, I was wondering if anybody might have a reference for me: My R code is growing and getting more and more confusing. Thus, I figure it's time to switch to object-oriented again. I have done oo programming in C++ and Java before but the first few tutorial on R oo were a bit confusing for me. Is there any brief tutorial on oo programming in R especially for people who have done oo in Java

Dear All, I have a problem in understanding how the interactions of 2 ways ANOVA work, because I get conflicting results from a t-test and an anova. For most of you my problem is very simple I am sure. I need an help with an example, looking at one table I am analyzing. The table is in attachment and can be imported in R by means of this command: scrd<-

Dear all, I have got two vectors coding for a stimulus presented in the current trial (mydat$Stimulus) and a prediction in the same trial (mydat$Prediciton), respectively. By applying an if-conditional I want to create a new vector that indicates if there is a match between both vectors in the same trial. That is, if the prediction equals the stimulus. When I pick out some trials randomly, I get

Dear List, This is my first post, and I'm a relatively new R user trying to work out a mixed effects model using lme() with random effects, and a correlation structure, and have looked over the archives, & R help on lme, corClasses, & etc extensively for clues. My programming experience is minimal (1 semester of C). My mentor, who has much more programming experience, but a comparable

Hey everyone, Currently where I work we use qmail. Every time a message is delivered, qmail seems to walk through the user's entire maildir in order to calculate quota usage. Delivering messages simultaneously to just a few users who are allowed large maildirs (1-2GB) will bring our servers to their knees. Which brings me to dovecot. I use dovecot whereever I can, but haven't yet

I'm guessing there's a more efficient way to do the following using the index features of R. Appreciate any thoughts.... for (i in 1:nrow(dbs1)){ if(dbs1$Payor[i] %in% Payor.Group.Medicaid) dbs1$Payor.Group[i] = "Medicaid" if(dbs1$Payor[i] %in% Payor.Group.Medicare) dbs1$Payor.Group[i] = "Medicare" if(dbs1$Payor[i] %in% Payor.Group.Commercial)

I'm interested in using R's plotting capabilities to try to generate a graph showing the relationship/pairing frequency of words appearing in a block of unstructured text. I don't have a specific algorithm or approach in mind, just looking to portray text in an interesting fashion. The output I'm hoping for is something like the following called a "Phrase Network":

Dear list, Following up on an earlier post, I would like to reorder a dataset and compute pairwise correlations. But I'm having some real problems getting this done. My data looks something like: Participant Stimulus Measurement p1 s`1 5 p1 s`2 6.1 p1 s`3 7 p2 s`1 4.8 p2

Hi, I am analyzing a repeated-measures Greco-Latin Square with the aov command. I am using aov to calculate the MSs and then picking by hand the appropriate neumerator and denominator terms for the F tests. The data are the following: responseFinger mapping.code Subject.n index middle ring little ---------------------------------------------------------------------------- 1 1

Hi there, I have some simple frequencies I want to plot into one graph. I had it working, and now I can't figure out whats going wrong. All the data is stored in a dataframe, and i finally managed to order the factor correctly! Each column is a variable and contains integers for the same set of values in the column that contains the headers for each row (graphLabels). So, I get the data

Dear all, I need an help because I am really not able to find over internet a good example in R to analyze an unbalanced table with Anova with repeated measures. For unbalanced table I mean that the questions are not answered all by the same number of subjects. For a balanced case I would use the command aov1 = aov(response ~ stimulus*condition + Error(subject/(stimulus*condition)), data=scrd)