search for: mlamias

R-users, I have the following piece of code which I am trying to run on a dataframe (aga2) with about a half million records.  While the code works, it is extremely slow.  I've read some of the help archives indicating that I should allocate space to the p1 and ags1 vectors, which I have done, but this doesn't seem to improve speed much.  Would anyone be able to provide me with advice on

I'm using R0.90.1 on Win98. I'm trying to load an image I saved yesterday but I keep getting the following error: Error in load("C:/temp/245amData.R.RDa") : restore file corrupted -- no data loaded The image is 4,890KB. The image Can anyone tell me how to solve this problem? I'm sure I saved the image correctly. Thanks. Mark Mark J. Lamias Department of Statistics

Does an R package exist that is similar to SAS/Intrnet (http://support.sas.com/documentation/onlinedoc/intrnet/index.html) that will allow users to take parameters passed to it by a web request, produce results and return them to the web-browser in HTML format?  I tried looking through the package descriptions, but didnt' see anything like this.  Any direction or suggestions you could provide

I wish to create a matrix of all possible percentages with two decimal place percision. I then want each row to sum to 100%. I started with the code below with the intent to then subset the data based on the row sum. This works great for 2 or 3 columns, but if I try 4 or more columns the number of rows become to large. I would like to find a way to break it down into some kind of for loop, so

Hi, I am trying to convert a colleague from using SPSS to R, but am having trouble generating a result that is similar enough to a bootstrapped cox regression analysis that was run in SPSS. I tried unsuccessfully with bootcens, but have had some success with the bootcov function in the rms package, which at least generates confidence intervals similar to what is observed in SPSS. However, the

...From: albrecht.gebhardt@uni-klu.ac.at Date: Tue, 30 Nov 1999 14:28:10 +0100 (MET) * PR# 354 * Subject: odd result of length() with factor arguments with NA From: Rashid Nassar <rnassar@duke.edu> Date: Tue, 30 Nov 1999 21:11:24 -0500 (EST) * PR# 355 * Subject: PRIVATE: Printing Problems From: mlamias@umich.edu Date: Wed, 1 Dec 1999 08:05:05 +0100 (MET) * PR# 356 * Subject: Error in plot.aov() From: John Maindonald <john.maindonald@anu.edu.au> Date: Thu, 02 Dec 1999 13:42:21 +1100 * PR# 357 * Subject: filled.contour From: steuer@statistik.uni-dortmund.de Date: Fri, 3 Dec 1999 15:32:29 +010...

Is there an equivalent in R to the crosstabs command S-Plus? I've been searching for a while and can't seem to find anything. Thanks. Mark J. Lamias Department of Statistics Department of Political Science Survey Methodology Program/Survey Research Center Institute for Social Research - University of Michigan 426 Thompson Street, Room 315 Ann Arbor, Michigan 48104-2321 (734) 647-5381

Does anyone know a command to obtain the expected values of residuals under normality? Better yet, is there a command to perform a correlation test for normality (not Shapiro-Wilk Test)? I've looked everywhere, and can't seem to find how to do this. Thanks. Mark J. Lamias Department of Statistics Department of Political Science Survey Methodology Program/Survey Research Center

On Tuesday, March 07, 2000 5:40 PM, Richard Bilonick wrote: >I need to merge several data.frames into one data.frame. In S-Plus I would >use >"merge" but I don't see a merge command in R. What is the best way to >accomplish >this? The easiest way to to this, I think, is as follows: if you have several data frames, dataframe1, dataframe2, . . . , dataframen, you