# [Rd] caching frequently used values

From: Tamas K Papp <tpapp_at_princeton.edu>
Date: Wed 13 Dec 2006 - 21:17:29 GMT

Hi,

I am trying to find an elegant way to compute and store some frequently used matrices "on demand". The Matrix package already uses something like this for storing decompositions, but I don't know how to do it.

The actual context is the following:

A list has information about a basis of a B-spline space (nodes, order) and gridpoints at which the basis functions would be evaluated (not necessarily the nodes). Something like this:

bsplinegrid <- list(nodes=1:8,order=4,grid=seq(2,5,by=.2))

I need the design matrix (computed by splineDesign) for various derivatives (not necessarily known in advance), to be calculated by the function

bsplinematrix <- function(bsplinegrid, deriv=0) {   x <- bsplinegrid\$grid
Matrix(splineDesign(bslinegrid\$knots, x, ord=basis\$order,

```                      derivs = rep(deriv,length(x))))
```

}

However, I don't want to call splineDesign all the time. A smart way would be storing the calculated matrices in a list inside bsplinegrid. Pseudocode would look like this:

bsplinematrix <- function(bsplinegrid, deriv=0) {   if (is.null(bsplinegrid\$matrices[[deriv+1]])) {     ## compute the matrix and put it in the list bsplinegrid\$matrices,     ## but not of the local copy
}
bsplinegrid\$matrices[[deriv+1]]
}

My problem is that I don't know how to modify bsplinegrid\$matrices outside the function -- assignment inside would only modify the local copy.

Any help would be appreciated -- I wanted to learn how Matrix does it, but don't know how to display the source with s3 methods (getAnywhere doesn't work).

Tamas

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https://stat.ethz.ch/mailman/listinfo/r-devel Received on Thu Dec 14 08:24:50 2006

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