From pgilbert@bank-banque-canada.ca  Thu Mar 22 16:23:28 2001
From: pgilbert@bank-banque-canada.ca (Paul Gilbert)
Date: Thu, 22 Mar 2001 11:23:28 -0500
Subject: [Rd] lazy evaluation and DUP=F
Message-ID: <3ABA26FF.B7BECF5F@bank-banque-canada.ca>

I am having some difficulty understanding the implication of lazy evaluation mixed
with DUP=F in a .Fortran call.  In qr.qty from base DUP is not used as an argument so
defaults to T. I am calling qr.qty with a very large array and would like to set
DUP=F in the .Fortran call so that qr.qty would be defined as copied below. Is there
some risk that a variable used as the argument in the original calling environment
would be modified, or is there some other reason that this should not be done?

Also, I still find it surprising that I get very slightly different results in some
calculations depending on whether I have DUP=T or DUP=F in a call to some of my own
fortran. I don't think that I am reusing the arguments in anyway that would require
duplicating them, and if I were I would expect a much bigger difference in the
result? Can anyone think of an explanation?

Thanks,
Paul Gilbert
_____

qr.qty <- function (qr, y)
{
    if (!is.qr(qr))
        stop("argument is not a QR decomposition")
    n <- as.integer(nrow(qr$qr))
    p <- as.integer(ncol(qr$qr))
    k <- as.integer(qr$rank)
    ny <- as.integer(NCOL(y))
    storage.mode(y) <- "double"
    if (NROW(y) != n)
        stop("qr and y must have the same number of rows")
    qty <- if (is.matrix(y))
        matrix(double(n * ny), n, ny)
    else double(n)
    .Fortran("dqrqty", as.double(qr$qr), n, k, as.double(qr$qraux),
        y, ny, qty = qty, PACKAGE = "base", DUP=F)$qty
}


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[Rd] lazy evaluation and DUP=F
Paul Gilbert