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!!

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