How do you integrate perpendicular to a plane if you don't have a concept of
3d? In that direction the plane is just a point.
Vectors in R do not have any concept of "n by 1"... they are like a string of
beads. When you take a column out of a matrix `a` using indexing b <- a[,j] the
resulting vector can only be indexed along its length as b[i]. Such a vector is
indistinguishable in structure from a[i,] which originated from a row.
So I would say you are tilting at windmills. If you want you can write a[, j,
drop=FALSE] to end up with an n by 1 matrix... but that is not a vector, it is
a matrix. I have reservations about the value of "integrating out" along a row
in an n by 1 matrix... seems like a degenerate case and you would be better off
not creating the n by 1 matrix in the first place. But then I left Matlab
behind a long time ago.
On June 11, 2024 11:44:08 AM PDT, "Levine, Michael" <mlev...@purdue.edu> wrote:
>Hello all,
>
>I have a question concerning integration of a function of a multivariate
>argument with respect to one or more variables in r. Let us say we have a
>function
>
>F <- function(x){ body of the function}
>
>Where x is, in general, a d by 1 vector with d>1. Now I want to integrate out
>some of the coordinates of x, e.g. x[1] or x[2] or both of them etc. I'm well
>aware of how to integrate out e.g. y if a function is defined as f <- function
>(x,y) {body of the function} where y is a scalar.
>However, it seems to be quite difficult to do the same if the function is
>defined with a vector argument x. At the very least, I haven't seen any good
>examples of this being done.
>Any suggestions?
>
>Yours sincerely,
>Michael
>
>Michael Levine
>Associate Professor, Statistics
>
>Department of Statistics
>Purdue University
>250 North University Street
>West Lafayette, IN 47907 USA
>
>email: mlev...@purdue.edu
>Phone: +1-765-496-7571
>Fax: +1-765-494-0558
>URL: www.stat.purdue.edu/~mlevins
>
> [[alternative HTML version deleted]]
>
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--
Sent from my phone. Please excuse my brevity.
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