Add more R scripts
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31
confplotd.R
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31
confplotd.R
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# Requires plotrix library and split.file() output files.
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# See Burton-Kelly (2008) for complete documentation.
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confplotd <- function(path, pattern, vardis="Disparity", smoo=c(1:20), reps=1000, ext="-confplotd.txt", probs=c(0.025,0.975))
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{
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files<-list.files(path=path,pattern=pattern,full.names=TRUE);
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for(i in files)
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#Loop through files and assign variable names
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{
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x <- read.table(i,header=TRUE);
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assign(i, x);
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}
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for(j in 1:length(files))
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{
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SOV <- get(files[j]);
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bootSOV <- numeric(reps); #creates place for bootstrap values
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for (k in 1:reps) {bootSOV[k] <- sum(diag(var(sample(SOV,replace=TRUE))))};
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conf<-quantile(bootSOV,probs=probs);
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toplot<-paste(smoo[j],mean(bootSOV),conf[2],conf[1]);
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write.table(toplot,file=paste(substring(files[1],1, nchar(files[1])-4), ext, sep=""),quote=FALSE,append=TRUE, row.names=FALSE, col.names=FALSE)
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}
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tableback<-read.table(file=paste(substring(files[1],1,nchar(files[1])-4), ext, sep=""));
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x<-unlist(tableback[1]);
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y<-unlist(tableback[2]);
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cui<-unlist(tableback[3]);
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cli<-unlist(tableback[4]);
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plotCI(x,y,ui=cui,li=cli,xlab=c("Smoothing"),ylab=vardis, ylim=c(0,0.025));
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pdf(paste(substring(files[1],1,nchar(files[1])-4), ext, c(".pdf"), sep=""));
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plotCI(x,y,ui=cui,li=cli,xlab=c("Smoothing"),ylab=vardis, ylim=c(0,0.025));
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dev.off();
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}
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