Apply a function to columns of a matrix

Is this what you wanted?  You had two arguments to your function, but
only supplying one via the 'apply'.  Also your argument names were the
same as your variables which was confusing.
a <-matrix(c(1:100),ncol=10)
b <-matrix(c(2,4,6,8,10,12,14,16,18,20))

apply(a,2,function(y,x) sum(diff(x)*(y[-1]+y[-length(y)]))/2, x = b )
[1]   99  279  459  639  819  999 1179 1359 1539 1719

Were you assuming that you could reference the value of 'b' within the
function?  If so, you could have done this:
a <-matrix(c(1:100),ncol=10)
b <-matrix(c(2,4,6,8,10,12,14,16,18,20))

apply(a,2,function(x) sum(diff(b)*(x[-1]+x[-length(x)]))/2 )
[1]   99  279  459  639  819  999 1179 1359 1539 1719

Dear All,

as a follow up to my previous e-mail (I think I am getting closer...):

I am trying to apply the trapezoidal functions to a matric column by column. I have the following code:

a <-matrix(c(1:100),ncol=10)
b <-matrix(c(2,4,6,8,10,12,14,16,18,20))

apply(a,2,function(b,a) sum(diff(b)*(a[-1]+a[-length(a)]))/2)

for some reason i get an error message:
Error in FUN(newX[[, i], ...): argument "a" is missing with no default.

Any ideas of why that may be happening?

thanks,

Andras
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Apply a function to columns of a matrix

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