similar to: box doesn't surround words in legend in printed output

I'm working up a set of small working examples in R to show what various distributions are and the beauty of the central limit theorem. Those example programs are in this directory: http://lark.cc.ukans.edu/~pauljohn/R/ExampleCode/ You can feel free to use those if you want, or you can send me other small working example code for R. The key here is small, self contained things that

Dear Friends in R: On RedHat linux, R-1.1, I've gotten far enough to create the graph that shows on the screen with 3 lines, but I have some trouble. Here is the way I created the three "overlaid" graphs: data<-read.table("DataCulture0",header=T,as.is = TRUE) attach(data) tmp1<-plot(acquaint~T,type='l', ylim=c(0,1),ylab="average

Using RedHat Linux 7.0, R-1.2.2, R-hdf5-1.2 library, I want to load a dataset, do some stuff with it, then erase its objects, get an other, repeat. My friend wrote a function which tried to clear away all the objects. At the end, it uses rm() to remove objects. This is the same way we do it interactively, from the R prompt: testLoadSeveralHDF <- function(numFiles) { for (i in

Running R 1.1 on RedHat Linux 6.2. I need to write a shell script that goes through a bunch of directories of simulation output, creating summary files that have the mean and standard deviation of the variables found in the data files in each directory. I've got the R code doing almost the right thing. It reads in data, then gets the mean and standard deviation for the numeric variables,

I just heard a talk about a semi-parametric model. I was quite excited by the idea. This model is fitted y= xB + g(z) + e where x is a data matrix, B a column vector, z is another data matrix, and g is a smooth model fitted by a Kernel Smoothing regression (I got the idea any smoother would do as well). The speaker said that when z is considered as a "control" variable, and there is

It seems like every time I try to do something a little different, I cannot get output saved just right. This is on RedHat 7.2 with R 1.4.1. The png output looks fine, but the eps output has the problem that the bounding box on the legend cuts the legend in half. I put a copy of a bad one here: http://lark.cc.ukans.edu/~pauljohn/ResearchPapers/meanProtest-box.eps When I asked about these

I'm looking for an analogy to SPSS and "variable lable" and "value lable" in R. I have a copy of S+4.0 and can't find any info in their docs, and don't find it in R-intro either. In SPSS, for each variable, there is a name like VAR001 and a variable lable (a longer descriptive string) like Respondent ID and for many of the values of other variables there are

On Linux (RH7.1) with R installed from CRAN rpms: I have many files with miscellaneous names *.dat. I would like to successively open each one, run some functions on them, and then write some output numbers to *.summary. I have succeeded in doing this when I type in each file name individually for the data input, but have not found a way to search files in a directory and grab the *.dat. If

I've seen XGobi come up in here from time to time, and I wonder what is it, what is it for, do I need it? How about throwing me a bone here! -- Paul E. Johnson email: pauljohn at ukans.edu Dept. of Political Science http://lark.cc.ukans.edu/~pauljohn University of Kansas Office: (785) 864-9086 Lawrence, Kansas 66045 FAX: (785)

Simple usage questions that I ought to be able to figure on my own, but can't. 1.I'm able to produce a cross tabulation table showing counts with either table or xtabs. But I want column percentages for interpretation, and it seems stupid to sit there with a calculator figuring marginals and column percentages. How to make R do it after this: > x <- c(1,3,1,3,1,3,1,3,4,4)

I got great, quick advice here earlier today. One little hitch was that the pattern in list.files wants a regular expression, and *.dat was grabbing all files with .dat in them, not ones ending in .dat. This code creates a *.dat.summary file with the mean and std. deviation. of the numeric variables for every *.dat file in the current directory. myDat<-list.files(pattern="*.dat$")

I have a student that I'm encouraging to use R rather than SAS or Stata and within just 2 weeks he has come up with a question that stumps me. What does a person do about endogeneity in generalized linear models? Suppose Y1 and Y2 are 5 category ordinal dependent variables. I see that MASS has polr for estimation of models like that, as long as they are independent. But what if the

HDF5 is a high quality data storage format from NCSA (http://hdf.ncsa.uiuc.edu/index.html) Marcus Daniels of the Swarm Development Group has made available an R library called hdf5 which allows loading and saving of data in hdf5 format. The source for his library is here: ftp://ftp.swarm.org/pub/swarm/src/testing/hdf5_1.4.7.tar.gz I prefer to use RPMs to maintain software across many linux

Dear R help reader, I'm not an expert in R and are lerning a lot by reading the help digest, which is sometimes difficult because the huge amount of data posted. I have posted some questions before, and are impressed how quick I got a solution for my problem. Sometimes with quite different suggestions. I was always wondering if my questions didn't come up before. On the other site,

I have a linux system with Fedora Core 2 and R-2.0. I was comparing plots made with plot() and dotplot() and discovered a problem. Although the dots are positioned correctly, the numerical labels in the dotplot y axis are not correct. I put copies here: http://lark.cc.ku.edu/~pauljohn/R/plotTrouble1.jpg That is the "correct" one from plot, with the higest value on y showing at 18.

When I saw "SciGraphica": http://magnet.fsu.edu/~feiguin/scigraphica/screenshots.html I wished it could be a GUI frontend for R on Unix. -- Paul E. Johnson email: pauljohn at ukans.edu Dept. of Political Science http://lark.cc.ukans.edu/~pauljohn University of Kansas Office: (785) 864-9086 Lawrence, Kansas 66045 FAX:

Greetings I'm new to R. I became interested in it because my friends at the Swarm Development Team at the Santa Fe Institute have been using/developing R to work as a front end for HDF5 datasets. >From looking at the RPMS for R, I got the idea they were compiled without support for HDF5. Correct? If you are interested in the HDF5 data format and R, on my page I have RPMS for HDF5 and

Dear everybody: HDF5, a dataset formatting library, and R that is built with it, have been uploaded to ftp://ftp-fis.iarc.fr/pub/incoming. The R RPM uses the spec file created by Martyn Plummer as a starting point, and makes only a few trivial changes. -rw-rw-r-- 1 ftp 100 3416612 Oct 6 17:45 R-base-with-hdf5-0.65.1-1.i386.rpm -rw-rw-r-- 1 ftp 100 2300453 Oct 6 17:48

I'm getting some abuse for asking about R-Gnome and I don't think it is fair. I did not create that project, I was just asking how it was going and whether that other project would help out. Now I'm getting some email that says some of you don't want a GUI interface because you think interfaces like that are inconvenient. OK. I agree, in most cases. I think GUIs for model

I handed out some results from glm() and the students ask "how many observations were dropped due to missing values"? How would I know? In other stat programs, the results will typically include N and the number dropped because of missings. Without going back to R and fiddling about to find the total number of rows in the dataframe, there is no way to tell. Somewhat