Improved docs
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3 changed files with 4 additions and 53 deletions
52
R/admix1.R
52
R/admix1.R
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@ -350,54 +350,4 @@ admix1 <- function(tietue) {
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# save([pathname filename], 'tietue', '-v7.3'); # added by Lu Cheng, 08.06.2012
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# end
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# end
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}
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# function [npops] = poistaLiianPienet(npops, rowsFromInd, alaraja)
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# % Muokkaa tulokset muotoon, jossa outlier yksilöt on
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# % poistettu. Tarkalleen ottaen poistaa ne populaatiot,
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# % joissa on vähemmän kuin 'alaraja':n verran yksilöit?
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# global PARTITION;
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# global COUNTS;
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# global SUMCOUNTS;
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# popSize=zeros(1,npops);
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# for i=1:npops
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# popSize(i)=length(find(PARTITION==i));
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# end
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# miniPops = find(popSize<alaraja);
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# if length(miniPops)==0
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# return;
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# end
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# outliers = [];
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# for pop = miniPops
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# inds = find(PARTITION==pop);
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# disp('Removed individuals: ');
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# disp(num2str(inds));
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# outliers = [outliers; inds];
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# end
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# ninds = length(PARTITION);
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# PARTITION(outliers) = 0;
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# korit = unique(PARTITION(find(PARTITION>0)));
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# for n=1:length(korit)
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# kori = korit(n);
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# yksilot = find(PARTITION==kori);
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# PARTITION(yksilot) = n;
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# end
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# COUNTS(:,:,miniPops) = [];
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# SUMCOUNTS(miniPops,:) = [];
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# npops = npops-length(miniPops);
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# %------------------------------------------------------------------------
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# function clearGlobalVars
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# global COUNTS; COUNTS = [];
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# global SUMCOUNTS; SUMCOUNTS = [];
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# global PARTITION; PARTITION = [];
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# global POP_LOGML; POP_LOGML = [];
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}
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@ -4,7 +4,7 @@
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\alias{computeAllFreqs2}
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\title{Compute all freqs - version 2}
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\usage{
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computeAllFreqs2(noalle, COUNTS = matrix(NA, 0, 0), SUMCOUNTS = sum(COUNTS))
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computeAllFreqs2(noalle, COUNTS = matrix(NA, 0, 0), SUMCOUNTS = NA)
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}
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\arguments{
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\item{noalle}{noalle}
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@ -9,7 +9,8 @@ repmat(mx, n)
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\arguments{
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\item{mx}{matrix}
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\item{n}{either a scalar with the number of replications in both rows and columns or a 2-length vector with individual repetitions.}
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\item{n}{either a scalar with the number of replications in both rows and
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columns or a <= 3-length vector with individual repetitions.}
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}
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\value{
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matrix replicated over `ncol(mx) * n` columns and `nrow(mx) * n` rows
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