search for: statistcs

Dear friends, As we all know, the usual model selection criteria(e.g.deviance,AIC...) in GLMs isn't very good for selecting the best model when overdispersion exist, so we need to adjust the corresponding statistic,see(Fitzmaurice,G.M. (1997) Model selection with overdispersed

....829 3rd Qu.: 6.750 3rd Qu.: 7.000 3rd Qu.: 7.000 3rd Qu.: 6.000 3rd Qu.: 7.000 3rd Qu.: 6.000 Max. :18.000 Max. :19.000 Max. :17.000 Max. :13.000 Max. :19.000 Max. :18.000 -- View this message in context: http://r.789695.n4.nabble.com/How-to-calculate-the-statistcs-for-extracted-region-tp4633295.html Sent from the R help mailing list archive at Nabble.com.

Hi I have a dataframe which has 3 columns of numeric data A,B,C each of which has been obtained independent of the other. We are trying to find out, which of A or B cause C i.e. We are hypothesising that C is the effect and either A or B, not both is the cause. i.e. A causes C and this cause-effect relationship explains B. The data for A contains more noise than that for B. We are working with

Hi all, I'm a newbie wrt R but that's okay, since I don't do any programming in R. What I do need to do is to administrate the activites of an R programmer, so my questions will be related to adminning R as opposed to statistcal programming. I hope that's okay with y'all. :-) I've been through most of the docs that I could find (the PDFs, StatsRUs, etc.) and I've

...... *mark* is the true classes, *predict.pvalue* is the predicted p-values, which was used to determine the predicted classes. So i need to specify some cut points for *predict.pvalue*, and then compare it with *mark*class, generate the 2*2 tables, and then calculate some sensitivity, specifity....statistcs, and ROC curve. I have searched some functions, such as roc(analogue),'ROC(Epi),etc. They may need to specify the fitting model in the codes or group varibles, and may be not appropriate for my condition. I think that it should have been performed in some package for ROC analysis. Anybody ca...

I have been using R for a few months to plot my data, and fit statistical models and so on. It is stated that R is not only a package for statistcs and graphics but also a programming language. Currently I am working with Fortran 90 to do numerical simulations (1D reactive -transport), and subsequently visualize it in some external software (spreadsheet). As I now started using R I will plot my results using R, but my question is: Could I us...

Dears friends, I have been translating and extended, with educational porposes only, the available material in the www (http://zoonek2.free.fr/UNIX/48_R/all.html) "Statistcs avec R" for the Portuguese of Brazil. I consider the material very good and would like to share this work with anothers users R. Already I translated and I extended two chapters: Introduction to the R and analysis of variance. I request to the author (Vincente Zoonekynd) an explicit authori...

...ase=exp(1))/exp(logt09)))) ,data=data ,fixed=a+logt09~1 ,random=a+logt09~1|Subject[ind] ,start=list(fixed=c(a=30,logt09=1))) My idea was to put the index ( second variable of the statistcs function) in the subject as i want to generate different samples of subjects. I get the error that the vector ind was not found. I would be happy for any help concerning this problem. Thanks a lot Dassy

...le playing around with these keywords and trying to figure out what is going on (but, unfortunately, I don't know Javascript well enough) I noticed that the new function `optim' has as keywords only `nonlinear' but not `optimize'. And again, if I select the keyword `nonlinear' [Statistcs > Models > Regression > Nonlinear], optim does not appear on the page of results. But if I enter `nonlinear' into the search text field, it appears on the page of results. Cheers, Berwin Turlach --please do not edit the information below-- Version: platform = i686-unknown...