similar to: semi-parametric (partial linear?) regression

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

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

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

I have made a plot with a legend and on the screen it looks fine, but when I save as jpg or pdf, or print, the legend box is too small, it cuts through the words on the right side. I put an example here: http://lark.cc.ukans.edu/~pauljohn/R/apdftest.pdf Is there a work around? -- Paul E. Johnson email: pauljohn at ukans.edu Dept. of Political Science

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'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

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'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)

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$")

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,

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)

You may want to take a look at a paper by Julia Kelsall and Scott Zeger in JRSS(C) - 1999, pp. 331-344. This paper describes a frequency domain approach to log-linear regression modeling of poisson-distributed count data, accounting for correlation and over-dispersion. There are also some S functions available to implement the methodology. Ravi. -----Original Message----- From: pauljohn at

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:

Hello! I need to classify a data set with 19 variables and 9 classes using Logistic Regression(on R). I know that when we have only 2 classes we can use glm() to estimate the coefficients of the model. But I don?t understand how can I do a classification task with Logistic Regression on a data set with 9 classes! Does anybody know how can I estimate these coefficients (of a model with 9

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

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Hello, Can anyone offer any insight on graphing classification dendrograms with the nodes marked? plot(tree()) produces a nice tree structure but there's no acccompanying text. Thanks, D S. David White sdavidwhite at bigfoot.com Columbus, Ohio -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

To all I have some simple questions pertaining to weights used in regression. If the variability of the dependent variable (y) is a function of the magnitude of predictor variable (x), can the use of weights give an appropriate answer to the regression parameters and the std errors? Assume that y at x=1 and 6 has a standard deviation of 0.1 and at x=11 it is 0.4 Then according to a web page on

how can I import/export data from ms excel? also is there a way to import/export data of the hdf format? is there a way to import/export hdf format for ms excel as well? thank you very much in advance. /js ###################################################################### This e-mail message has been scanned and cleared by MailMarshal http://www.marshalsoftware.com