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...the colors. So, is there a way that I can select a large number of colors (i.e. perhaps 20) that are as different from each other as possible? Here is my example code using the palette: ********************** mat <- matrix(sample(1:1000,1000,replace=T),nrow=20,ncol=20) snames <- paste('Sample_',1:ncol(mat),sep='') colnames(mat) <- snames mycols <- palette(rainbow(ncol(mat))) for(k in 1:ncol(mat)){ plot(density(mat[,k]),col=mycols[k],xlab='',ylab='',axes=F,main=F) par(new=T) } legend(x='topright',legend=snames,fill=mycols) ****************...

...me?# auto-correlation _when the sample that is drawn is small_.#?# I describe the problem using two functions:# ??# ? DistributionAutocorrelation_Unexpected which as the wrong behavior :?# ? _when drawing some small samples using rnorm, there is generally a?# strong negative auto-correlation in the sample_.#?# and#?# DistributionAutocorrelation_Expected which illustrate the expected behavior#?#?#?# *Unexpected : *# ??# ? DistributionAutocorrelation_Unexpected = function(SampleSize){# ? ? Cor = NULL# ? ? for(repetition in 1:1e5){# ? ? ? X = rnorm(SampleSize)# ? ? ? Cor[repetition] = cor(X[-1],X[-lengt...

...me?# auto-correlation _when the sample that is drawn is small_.#?# I describe the problem using two functions:# ??# ? DistributionAutocorrelation_Unexpected which as the wrong behavior :?# ? _when drawing some small samples using rnorm, there is generally a?# strong negative auto-correlation in the sample_.#?# and#?# DistributionAutocorrelation_Expected which illustrate the expected behavior#?#?#?# *Unexpected : *# ??# ? DistributionAutocorrelation_Unexpected = function(SampleSize){# ? ? Cor = NULL# ? ? for(repetition in 1:1e5){# ? ? ? X = rnorm(SampleSize)# ? ? ? Cor[repetition] = cor(X[-1],X[-lengt...

Hi I am trying to create a loop which averages replicates in my data. The original data has many rows. and consists of 40 column zz[,2:41] plus row headings in zz[,1] I am trying to average each set of values (i.e. zz[1,2:3] averaged and placed in average_value[1,2] and so on. below is my script but it seems to be stuck in an endless loop Any suggestions?? for (i in 1:length(average_value[,1])) {

On 05/10/2018, 09:45, "R-help on behalf of hmh" <r-help-bounces at r-project.org on behalf of hugomh at gmx.fr> wrote: Hi, Thanks William for this fast answer, and sorry for sending the 1st mail to r-help instead to r-devel. I noticed that bug while I was simulating many small random walks using c(0,cumsum(rnorm(10))). Then the negative