similar to: presentation of software

R Community: In case you haven't seen it, I have written a manuscript called "The R Guide" that is available in the Contributed Documents section on CRAN. It is about 50 pages in length and it is written for the beginning R user. I use the guide in my undergraduate probability and math stat sequence, but it is pretty accessible for anyone with a basic understanding of statistics.

Hello, Version 2.2 of "The R Guide" is available for download in the Contributed Documents section on CRAN. "The R Guide" is written for the beginning R user. I use the guide in my undergraduate probability and math stat sequence, but anyone with a basic understanding of statistics (who wants to learn R) should find it useful. This updated version includes sections on

Hello, When plotting the results of a TukeyHSD multiple comparisons procedure with an ANOVA (lm) object, an extra line appears in the confidence intervals that contain 0. For example (this is straight from the TukeyHSD helpfile): > summary(fm1 <- aov(breaks ~ wool + tension, data = warpbreaks)) > TukeyHSD(fm1, "tension", ordered = TRUE) > plot(TukeyHSD(fm1,

Hi All, I am currently weaving samba into an active directory domain. ntlm works fine. but wbinfo is not so good. wbinfo -r username returns Could not get groups for user username wbinfo -n username returns S-1-5-21-1482476501-343818398-682003330-6830 User (1) wbinfo -a username%password plaintext password authentication failed error code was NT_STATUS_NO_SUCH_USER (0xc0000064) error messsage

Hello, Suppose I simulate 20 observations from the Poisson distribution with lambda = 4. I can summarize these values using table() and then feed that to barplot() for a graph. Problem: if there are empty categories (e.g. 0) or empty categories within the range of the data (e.g. observations for 6, 7, 9), barplot() does not include the empty cells in the x-axis of the plot. Is there any way to

Hi I have some panel data for the 50 US states over about 25 years, and I would like to test a simple model via OLS, using this data. I know how to run OLS in R, and I think I can see how to create Panel Corrected Standard Errors using http://jackman.stanford.edu/classes/350C/pcse.r What I can't figure out is how to correct for autocorrelation over time. I have found a lot of R stuff on

PowerPoint Viewer 1997 work nicely, but the installation for PowerPoint Viewer 2003 seems incomplete. It emits a number of fixme:msi warnings. It would be a nice wishlist item. Cheers, Shaun $ wine --version Wine 20041201 $ md5sum ppviewer.exe 1facc59a11680d1f828ed5118a0270b1 ppviewer.exe $ wine ppviewer.exe fixme:msi:MsiInstallProductW L"ppviewer.msi" L""

Special Volume on Spectroscopy and Chemometrics in R Guest Edited by Katharine M. Mullen and Ivo H.M. van Stokkum 11 contributions, with software packages and examples Similar volumes on R in Psychometrics (guest edited by Jan de Leeuw) and R in Political Methodology (guest edited by Micah Altman and Simon Jackman) are close to being finished. Additional volumes are being worked on. Proposals

Hi all, I''ve a little server, an old PIII 677 with Fedora Core 4, default kernel, and Shorewall 3.0.1. This pc is working fine, but I need to use a 2nd ISP connection; everything is working from configuration point of view, but the server, after a while (usually few hours), just hangs. Removing the 2-ISP configuration part, the problem is solved, so I''m quite sure that hangs are

R users, In S, there was a function called usa() that would draw the map of the United States, plus it had other options for graphics. I have looked but I can't find the equivalent in R. Is there one? Thanks, Jason

Hi, I have two questions. First, I'd like to compare a ZINB model to a negativ binomial model with the Vuong test, but I can't find how to performe it from the zicount package. Does a programm exist to do it ? Second, I'd like to know in which cases we have to use a double hurdle model instead of a zero inflated model. Many thanks, St??phanie Payet REES France R??seau

Does anyone know of a package that includes the Modified Sims test [Gewerke, 1983, Sims, 1972]? This test is used in econometrics and is a kind of alternative to the Granger test [Granger, 1969], which is in the package lmtest. Thanks in advance, chris Refernces: Gewerke, J., R. Meese, and W. Dent (1983), "Comparing Alternative Tests of Causality in Temporal Systems: Analytic Results and

Hello, I manage a www (apache), database (postgresql) and e-mail (qmail) with about 100 Internet domains. We recently purchased a DELL MD3000i server with data access through ISCSI protocol. I installed a new server with FreeBSD 7.0 compiled kernel with ISCSI (v. 2.1) and SCHED_ULE scheduler. The server's local disk configuration is: 512 MB / 1024 MB SWAP 254 MB / var 2048MB / var/ qmail 512

Hello I am interested in Poisson or (ideally) Negative Binomial regression with an inflated number of 1 responses I have seen JK Lindsey's fmr function in the gnlm library, which fits zero inflated Poisson (ZIP) or zero inflated negative binomial regression, but the help file states that for ' Poisson or related distributions the mixture involves the zero category'. I had thought

Dear list, I would like to fit a negative binomial regression model as described in "Byers AL, Allore H, Gill TM, Peduzzi PN., Application of negative binomial modeling for discrete outcomes: a case study in aging research. J Clin Epidemiol. 2003 Jun;56(6):559-64" to my data in which the response is count data. There are also 10 predictors that are count data, and I have also 3

Dear all, I am attempting to explain patterns of arthropod family richness (count data) using a regression model. It seems to be able to do a pretty good job as an explanatory model (i.e. demonstrating relationships between dependent and independent variables), but it has systematic problems as a predictive model: It is biased high at low observed values of family richness and biased low at

Matteo, I fully agree with David: please read the posting guide. Anyway, the error message says it all: "the estimated variance of the individual effect is negative". See e.g. the "basic panel" chapter (10 or 11) in Wooldridge's "Econometric Analysis of XS and Panel Data" to understand why this may happen. Stata's behaviour is (as far as I remember) to

Dear R-users, There are tons of methods out there for fitting independant variables to a dependent variable. All stats books tell you about the assumptions behind OLS (ordinary least squares) and warn against abusive use of the method (which many of us do disregard by lack of a better knowledge). Most introductory text books stop there and don't tell you what the next best option might be. I

Dear useRs, I am pleased to announce the availability of version 0.95 of package 'memisc' on CRAN (http://cran.r-project.org/web/packages/memisc/). 'memisc' does not implement any new estimators, but focuses on providing an infrastructure for data analysis especially of survey data. It may be of interest to all those who have had to use a commercial package like SPSS or Stata

Dear useRs, I am pleased to announce the availability of version 0.95 of package 'memisc' on CRAN (http://cran.r-project.org/web/packages/memisc/). 'memisc' does not implement any new estimators, but focuses on providing an infrastructure for data analysis especially of survey data. It may be of interest to all those who have had to use a commercial package like SPSS or Stata