Dear All, Thanks in advance for any help. I have a square matrix of measures of interactions among individuals and would like to calculate a values from a function (colSums for example) with a single individual (row) excluded in each instance. That individual would be returned to the matrix before the next is removed and the function recalculated. I can do this by hand removing rows based upon ids however I would like specify individuals to be removed from a list (lots of data).
An example matrix: MyMatrix E985047 E985071 E985088 F952477 F952478 J644805 J644807 J644813 E985047 1 0.09 0 0 0 0 0 0.4 E985071 0.09 1 0 0 0 0 0 0.07 E985088 0 0 1 0 0 0 0.14 0 F952477 0 0 0 1 0.38 0 0 0 F952478 0 0 0 0.38 1 0 0 0 J644805 0 0 0 0 0 1 0.07 0 J644807 0 0 0.14 0 0 0.07 1 0 J644813 0.4 0.07 0 0 0 0 0 1 Example list of individuals to be removed MyList E985088 F952477 F952478 If I were to do this by hand it would look like MyMat1 <- MyMatrix[!rownames(MyMatrix)%in% "E985088",] colSums(MyMat1) MyMat2 <- MyMatrix[!rownames(MyMatrix)%in% " F952477 ",] colSums(MyMat2) MyMat3 <- MyMatrix[!rownames(MyMatrix)%in% " F952478 ",] colSums(MyMat3) How might I replace the individual ids (in quotes) with a list and remove rows corresponding to that list from the matrix for the calculation and returning the row to the list after each calculation before the next. I hope I've been clear!! [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.