similar to: ? building a database with a the great examples

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

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

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

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

For me as a beginner a cookbook would be welcome. so many great code examples are posted into the help list, but finding these is quite difficult. I think it comes all down to the problem who is compiling / contributing and can judge what should go in. In this respect, Detlef Steuer (suggestion , might be a solution http://fawn.unibw-hamburg.de/cgi-bin/Rwiki.pl?RwikiHome. Frank >

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

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,

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

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

> X-Authentication-Warning: pc16.stat.umu.se: gb owned process doing -bs > Date: Thu, 28 Sep 2000 14:28:31 +0200 (CEST) > From: gb <gb at stat.umu.se> > To: r-help at stat.math.ethz.ch > Subject: [R] Nothing can be pasted... > X-MIME-Autoconverted: from 8bit to quoted-printable by pc16.stat.umu.se id e8SCSVp01926 > X-MIME-Autoconverted: from quoted-printable to 8bit by

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)

Hey, I want to draw several plots sequently, but have to make them dispaly in one figure. So how to achieve this? Thanks. Fred

Is it possible to give a temporary object a name that varies with each run of a foreloop? For example, I want to fill a matrix every time I run a loop, and I want a new matrix with each run, with an appropriate new name. i.e.: for(i in 1:5){... matrix.i<-some values ...} so that in the end I would have: matrix.1 matrix.2 matrix.3 matrix.4 matrix.5 Thanks, Ben Osborne -- Botany Department

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

Dear r-help, I want to conduct nonlinear fitting to a data frame having x and y variables. Because both x and y have measurement error, I want to include error term of x variable in the model. I'm not sure but I think ordinary nls model only consider error term of y variable. How can I do this kind of nonlinear fitting in R. Is there any examples in nls package? Thanks in advance, --

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 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

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