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This must be easy to do..... I have a vector and a lookup data.frame: > v [1] "5" "234" "234" "42-43" "234" "42-43" "234" "234" "42-43" "234" "5" "234" "234" "5" "234" "234" "5"

How can I extract the samples (S1-S5) containing a TRUE value in their row? Solution should apply to a much bigger data frame. > a Samples A B C D . . . 1 S1 FALSE FALSE FALSE FALSE 2 S2 FALSE FALSE NA TRUE 3 S3 FALSE FALSE FALSE FALSE 4 S4 FALSE TRUE FALSE FALSE 5 S5 FALSE FALSE FALSE FALSE . . . Thank you guys, I appreciate your help a lot! [[alternative HTML version deleted]]

Dear All, I would like to use the simprof function (clustsig package) but the available distances do not include Jaccard distance, which is the most appropriate for pres/abs community data. Here is the core of the function: > simprof function (data, num.expected = 1000, num.simulated = 999, method.cluster = "average", method.distance = "euclidean", method.transform =