TRUE and FALSE were inverted in explanation of masking
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@ -188,16 +188,17 @@ colMask <- logical(ncol(msaMatrix))
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limit <- round(nrow(APSESMsa) * (2/3))
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limit <- round(nrow(APSESMsa) * (2/3))
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# iterate over all columns, and write TRUE if there are less-or-equal to "limit"
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# iterate over all columns, and write TRUE if there are less-or-equal to "limit"
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# hyphens, FALSE if there are more.
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# hyphens, FALSE if there are more - i.e. TRUE columns will be used fr analysis
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# and FALSE columns will be rejected.
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for (i in 1:ncol(msaMatrix)) {
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for (i in 1:ncol(msaMatrix)) {
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count <- sum(msaMatrix[ , i] == "-")
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count <- sum(msaMatrix[ , i] == "-")
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colMask[i] <- count <= limit # FALSE if less-or-equal to limit, TRUE if not
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colMask[i] <- count <= limit # TRUE if less-or-equal to limit, FALSE if not
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}
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}
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# inspect the mask
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# Inspect the mask
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colMask
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colMask
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# How many positions were masked?
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# How many positions are being kept?
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sum(colMask)
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sum(colMask)
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cat(sprintf("We are masking %4.2f %% of alignment columns.\n",
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cat(sprintf("We are masking %4.2f %% of alignment columns.\n",
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