Hello,
You could do something along the following lines:
sapply( 1:ncol( my.matrix ),
function( i )
my.foo( my.matrix[,i], my.parm[i]
)
Best regards,
Carlos J. Gil Bellosta
http://www.datanalytics.com
anna wrote:
Hello everyone, I have the following matrix
[,1] [,2] [,3] [,4]
[1,] 0.002809706 0.0063856960 0.0063856960 0.011749681
[2,] 0.004893124 0.0023118418 -0.0005122951 -0.014646465
[3,] 0.003547897 0.0063355297 0.0030410542 0.011403953
[4,] 0.004838299 -0.0040383645 -0.0090406831 -0.011027569
[5,] 0.035648755 0.0334815590 0.0380977404 0.059817597
I want to apply a function on each column varying the first parameter of the
function. If I do it on one column only with apply it works perfectly as
follow:
apply(column1, 1, myfunction, parameter1= ..., parameter2=...)
But when I try to do it on each column without even varying the parameter it
doesn't work:
apply(matrix, 2, apply, MARGIN = 1, Fun = myfunction, parameter1 =...,
parameter2=...)
I get the following error:
Error in FUN(newX[, i], ...) :
unused argument(s) (2, function (X, MARGIN, FUN, ...)
Does someone know how to solve this? and is there a way to send a vector of
parameter1 instead of a scalar? thank you
-----
Anna Lippel
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