An embedded and charset-unspecified text was scrubbed... Name: not available URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20130201/39e8cabe/attachment.pl>
repeating autocovariate functions
2 messages · rachel buxton, David Winsemius
The short answer is ... because it was from Nabble. The longer answer is that the filters needed to be tightened on Nabble postings because of a an autobot spammer and the moderation queue was being swamped with cases. If you send your questions as email (from your email client) to r-help at r-project.org you should have fewer problems. (you might want to learn to post in plain text, too.)
David On Feb 1, 2013, at 7:58 PM, rachel buxton wrote: > > Hi there, > > Just wondering why my post was rejected? > > cheers > Rachel > > Subject: repeating autocovariate functions > From: r-help-owner at r-project.org > To: moyble at hotmail.com > Date: Sat, 2 Feb 2013 02:56:27 +0100 > > Message rejected by filter rule match > > > > --Forwarded Message Attachment-- > Date: Fri, 1 Feb 2013 17:56:14 -0800 > From: moyble at hotmail.com > To: r-help at r-project.org > Subject: repeating autocovariate functions > > Hi there, > > I would like to repeat an autocovariate term calculation using 30 > different > neighborhood sizes. Then I would like to run a nominal logistic > regression > on the generated autocovariate values and their respective > neighborhood > sizes to see which would be most appropriate to use in the final > calculation > of my autocovariate term. > > I have a matrix of x,y values: > x y > 174.7173 -35.967 > 174.7166 -35.9649 > 174.7174 -35.968 > 174.7418 -35.9678 > 174.741 -35.9672 > 174.7395 -35.9671 > (and 150 more) > > To calculate the autocovariate terms my code is as follows: > library(spdep) > Taranga <- read.csv(file.choose()) #contains xy coordinates > xy <- cbind(Taranga$x, Taranga$y) > acinvb <- autocov_dist(Taranga$burrows.pa, xy, nbs=1,zero.policy = > TRUE, > type="inverse") > datfrm <- data.frame(autocov=acinvb, nbs=1) > write.table(dfrm, file = 'results.csv',sep=",",row.names = FALSE) > > acinva <- autocov_dist(Taranga$burrows.pa, xy, nbs=100,zero.policy = > TRUE, > type="inverse") > dfrm <-data.frame(autocov=acinva, nbs=100) > names(datfrm) <- NULL > write.table(datfrm, file = 'results.csv',sep=",",append=TRUE, > row.names = > FALSE, col.names=FALSE) > > I want to repeat this function, each time adding 100 to "nbs" > > Then I will run a model from the resulting "results.csv" > > thanks in advance for any insight! > > Rachel > > > > -- > View this message in context: http://r.789695.n4.nabble.com/repeating-autocovariate-functions-tp4657353.html > Sent from the R help mailing list archive at Nabble.com. > David Winsemius, MD Alameda, CA, USA