Hi there, Just wondering why my post was rejected? cheersRachel
Subject: repeating autocovariate functions From: [email protected] To: [email protected] 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: [email protected] To: [email protected] 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. [[alternative HTML version deleted]] ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
