similar to: calling R from a shell script and have it display graphics

Hello, I use the function 'aggregate' a lot. One small annoyance is that it is necessary to name the factors in the 'by' list to get the names in the resulting data.frame (else, they appear as Group.1, Group.2...etc). For example, I am forced to write: aggregate(y,list(f1=f1,f2=f2),mean) instead of aggregate(y,list(f1,f2),mean) (for two factors with short names, it is not such

Hello Coming from matlab background, I could use some help on this one. I need to generate a data set based on this equation X(t) = 3.8x(t-1) (1-x(t-1)) + e(t), where e(t) is a N(0,0,001) random variable I need say 100 values. How do I do this? Thanks

Dear All, I am doing some exercise in statistics textbook on comparison of two experimental means. Is it possible to use t.test() do t-test when I have only two means, sample size, two standard deviations ? (no raw data). Thanks. Pramote

On Mon, 8 Mar 2004 r-help-request at stat.math.ethz.ch wrote: > Send R-help mailing list submissions to > r-help at stat.math.ethz.ch > > To subscribe or unsubscribe via the World Wide Web, visit > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > or, via email, send a message with subject or body 'help' to > r-help-request at stat.math.ethz.ch > >

Hello, I routinely use aov and and the Error term to perform analyses of variance of experiments with 'within-subject' factors. I wonder whether a notion like 'multistratum models' exists for glm models when performing a logit analysis (without being 100% sure whether this would make sense). I have data of an experiment where the outcome is a categorical variable: 20

Hello, I had been thinking for years, without having ever checked (shame on me), that indexing a named vector by a factor 'f' produced the same results as indexing it by 'as.character(f)'. I was wrong, as the following example shows: (m <- c(a=1,b=2)) (f <- factor(c(1,2),labels=c('b','a'))) m[f] m[as.character(f)] m[as.numeric(f)] When the

Hi, i already tried to ask this and did not obtain any answer. Is remus is supported in Opensuse Linux actually ? Regards _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com http://lists.xensource.com/xen-users

Hello ! Because of a special config of my grub boot system, i try to export in a domU, in read only mode, one of my disk partition mounted in the dom0 (in RW) and i don''t succeed because xen refuse to export this disk partition in a domU. extract of the conf : disk = [ ''phy:/dev/sda,ioemu:hda,r'' , ''phy:/dev/sda6,ioemu:sda6,r]'' ,

That may sound like a stupid question, but if it confuses me, I'm sure it confuses others as well. I've tried to find that information on the R mail-group info pages, can't seem to find it. Is it something obvious? To begin a brand new discussion, you do your post as an e-mail sent to r-help at stat.math.ethz.ch . As I am doing right now. How do I do an additional post that gets

Hi, I am trying to write a function with the following codes and I would like it to return the values for "alpha beta para parab " seperately. Then I would like to use this funstion for "variable" with factor "a" and "b". But the result turns out to be a matrix with element like "Numeric,2" ... I guess they are just the values for

Is there a conventional way to test for nested factors? I.e., if 'a' and 'b' are lists of same-length factors, does each level specified by 'a' correspond to exactly one level specified by 'b'? The function below seems to suffice, but I'd be happy to know of a more succinct solution, if it already exists. Thanks, Tim. --- "%nested.in%" <-

I'm trying to learn how to do a repeated measures ANOVA in R using lme(). A data set that comes from the book Design and Analysis has the following structure: Measurements (DV) were taken on 8 subjects (SUB) with two experimental levels (GROUP) at four times (TRIAL). In SAS, I use the code: PROC MIXED DATA=[data set below]; CLASS sub group trial; MODEL dv = group trial group*trial;

I have 2 files containing data analysed by 2 different methods. I would like to find out which genes appear in both analyses. Can someone show me how to do this? _________________________________________________________________ [[trailing spam removed]] [[alternative HTML version deleted]]

This relates to a message from Christophe Pallier to r-help some time ago. Like myself, he finds aggregate very useful, but the interface a little cumbersome. I've implemented a more compact formula interface, found at the bottom of this message: data(ToothGrowth) # I used to aggregate like this: aggregate(list(len=ToothGrowth$len),

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Any doubts about R's big-league status should be put to rest, now that we have a Sudoku Puzzle Solver. Take that, SAS! See package "sudoku" on CRAN. The package could really use a puzzle generator -- contributors are welcome! -- David Brahm (brahm at alum.mit.edu) [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list

Any doubts about R's big-league status should be put to rest, now that we have a Sudoku Puzzle Solver. Take that, SAS! See package "sudoku" on CRAN. The package could really use a puzzle generator -- contributors are welcome! -- David Brahm (brahm at alum.mit.edu) [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list

I'd like to play with ARIMA models of stock prices, but I am a complete novice. Could some kind soul explain the relationship among packages "ts", "tseries", "dse", "dse2", and "fracdiff"? Are they 'competing' products or does one depend on another? Where would be the best place for a novice to begin? Thanks for any advice. PS. I

Dear all, I'm writing a small program to read a file that receives data every time (e.g. every 1second ). During the execution of my program I get the message: " Error in read.table("file.txt", header = T, sep = ";") : no lines available in input " I suppose that it happens when I try to read the "file.txt" while it is being written. To overcome

Hi Community, I have a question about how to pass command line parameters to R script running in the batch mode. The problem is: there is a banch of data files which are to be processed by R script called from a web-server, i.e. in the batch mode. The web server generates data files and passes their names calling 'R CMD BATCH' one by one for every file. Now the question is how to