bug in polychor with R 2.6.0

  Has anyone noticed that the problem (whatever it is)
seems to occur in code from the included mvtnorm
package (specifically the guts of the
mvt() function), *not* the polycor package?
[cc'd to mvtnorm package maintainer]

 sessionInfo()

 example(pmvnorm)

On Sep 15, 2007, at 10:49 AM, William Revelle wrote:

John,
    I have been testing out R2.6.0 alpha to see if my psych package
works.   I am running the R Gui for the Mac.

There seems to be a problem with the polychor function in your
polycor package.  I think this might be a general problem with R
2.6.0 alpha  but I am not sure.  I am copying the R mac list to see
if this is a general problem with the alpha gui.

Bill


 From a clean start

[Workspace restored from /Volumes/WR/bill/.RData]

 version

                _
platform       i386-apple-darwin8.10.1
arch           i386
os             darwin8.10.1
system         i386, darwin8.10.1
status         alpha
major          2
minor          6.0
year           2007
month          09
day            14
svn rev        42851
language       R
version.string R version 2.6.0 alpha (2007-09-14 r42851)

 library(polycor)

Loading required package: mvtnorm

 ?polychor             #to get the help file with the following demo
 set.seed(12345)
 data <- rmvnorm(1000, c(0, 0), matrix(c(1, .5, .5, 1), 2, 2))
 x <- data[,1]
 y <- data[,2]
 cor(x, y)  # sample correlation

[1] 0.5285446

 x <- cut(x, c(-Inf, .75, Inf))
 y <- cut(y, c(-Inf, -1, .5, 1.5, Inf))
 polychor(x, y)  # 2-step estimate

  *** caught bus error ***
address 0x0, cause 'non-existent physical address'

Traceback:
  1: .Fortran("mvtdst", N = as.integer(n), NU = as.integer(df), LOWER
= as.double(lower),     UPPER = as.double(upper), INFIN =
as.integer(infin), CORREL = as.double(corrF),     DELTA =
as.double(delta), MAXPTS = as.integer(maxpts), ABSEPS =
as.double(abseps),     RELEPS = as.double(releps), error =
as.double(error), value = as.double(value),     inform =
as.integer(inform), PACKAGE = "mvtnorm")
  2: mvt(lower = lower, upper = upper, df = 0, corr = corr, delta =
mean,     maxpts = maxpts, abseps = abseps, releps = releps)
  3: pmvnorm(lower = c(row.cuts[i], col.cuts[j]), upper = c(row.cuts[i
+     1], col.cuts[j + 1]), corr = R)
  4: binBvn(rho, row.cuts, col.cuts)
  5: f(arg, ...)
  6: function (arg) f(arg, ...)(-0.23606797749979)
  7: optimise(f, interval = c(-1, 1))
  8: polychor(x, y)