From: Duncan Murdoch <murdoch_at_stats.uwo.ca>

Date: Sat 16 Dec 2006 - 11:37:26 GMT

> [1] 2 2 2 2 2 2 2 2 2 2

*>
*

> Ouch! max.col is randomizing across all values.

*> Even without infinite values, something similar can happen:
*

*>
*

> [1] 3 3 3 3 3 3 3 3 3 3

> [1] 2 3 2 3 3 2 2 2 3 2

*>
*

*> The max.col docs say " there is a relative tolerance of 1e-5, relative
*

*> to the largest entry in the row", but it's really using the maximum
*

*> absolute value entry in the row (appl/maxcol.c, line 35 in R 2.4.0).
*

*> Is this necessary for some sort of S-plus compatibility? If so, I
*

*> think it would be good to make this absolute value property very clear
*

*> in the docs, since it can cause subtle bugs (and did for me).
*

*>
*

*> Personally, I think the behavior is much nicer with the following patch:
*

*>
*

*> --- rplain/R-2.4.0/src/appl/maxcol.c 2006-04-09 18:19:58.000000000 -0400
*

*> +++ R-2.4.0/src/appl/maxcol.c 2006-12-14 15:30:56.000000000 -0500
*

*> @@ -26,13 +26,14 @@
*

*> do_rand = *ties_meth == 1;
*

*>
*

*> for (r = 0; r < n_r; r++) {
*

*> - /* first check row for any NAs and find the largest abs(entry) */
*

*> + /* first check row for any NAs and find the largest entry */
*

*> large = 0.0;
*

*> isna = FALSE;
*

*> for (c = 0; c < *nc; c++) {
*

*> a = matrix[r + c * n_r];
*

*> if (ISNAN(a)) { isna = TRUE; break; }
*

*> - if (do_rand) large = fmax2(large, fabs(a));
*

*> + if (!R_FINITE(a)) continue;
*

*> + if (do_rand) large = fmax2(large, a);
*

*> }
*

*> if (isna) { maxes[r] = NA_INTEGER; continue; }
*

*>
*

*> ---------------- END ----------------------
*

*>
*

*> This gives the expected behavior in the two examples above.
*

R-devel@r-project.org mailing list

https://stat.ethz.ch/mailman/listinfo/r-devel Received on Sat Dec 16 22:40:43 2006

Date: Sat 16 Dec 2006 - 11:37:26 GMT

On 12/15/2006 7:09 PM, John Zedlewski wrote:

> I've noticed that the max.col function with the default "random"

*> option often gives unexpected results. For instance, in this test, it
**> seems clear what the answer should be:
**>
*

>> # second col should always be max >> x1 = cbind(1:10, 2:11, -Inf) >> >> # this works fine >> max.col(x1, "first")

> [1] 2 2 2 2 2 2 2 2 2 2

>> # this gives random answers >> max.col(x1) >> [1] 3 1 1 2 3 3 1 3 1 1

> Ouch! max.col is randomizing across all values.

>> # test 2 --- tolerance problems >> >> # clearly column 3 is the max >> x1 = cbind(-1e9 * 1:10, 1:10, 2:11) >> >> # again, first method works: >> max.col(x1, "first")

> [1] 3 3 3 3 3 3 3 3 3 3

>> # but random doesn't >> max.col(x1)

> [1] 2 3 2 3 3 2 2 2 3 2

I think I'd prefer to be clear about what "largest" means in the docs rather than dropping the absolute value, because if all entries are negative, your version sets the tolerance to 0.

But ignoring infinite values when calculating the largest absolute value might be a good idea: I can't see why someone would want an infinite tolerance.

So I'd propose to add your R_FINITE check, and make this change to the docs:

" there is a relative tolerance of 1e-5, relative

to the largest finite absolute value in the row"

The copyright notice in the file says this function is from MASS/MASS.c by W. N. Venables and B. D. Ripley, so I'd like to hear from at least one of them before making a change.

Duncan Murdoch

*>
*

> (Sorry to crosspost to both this list and R-help, but it was suggested

*> that R-devel would be a more appropriate forum for this.)
**>
**> ______________________________________________
**> R-devel@r-project.org mailing list
**> https://stat.ethz.ch/mailman/listinfo/r-devel
*

R-devel@r-project.org mailing list

https://stat.ethz.ch/mailman/listinfo/r-devel Received on Sat Dec 16 22:40:43 2006

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