The function knn.cv in the class package doesn't have error checking to ensure that the length of the classlabel argument is equal to the number of rows in the test set. If the classlabel is short, the result is often a segfault.
> library(class) > dat <- matrix(rnorm(1000), nrow=10) > cl <- c(rep(1,5), rep(2,5)) > cl2 <- c(rep(1,5), rep(2,4)) > knn.cv(dat, cl) [1] 2 2 1 2 1 2 2 2 2 2 Levels: 1 2 > knn.cv(dat, cl2) # May have to try more than once to get segfault. This also occurs on my linux box. Best, Jim --please do not edit the information below-- Version: platform = i386-pc-mingw32 arch = i386 os = mingw32 system = i386, mingw32 status = major = 1 minor = 9.0 year = 2004 month = 04 day = 12 language = R Windows XP Professional (build 2600) Service Pack 1.0 Search Path: .GlobalEnv, package:methods, package:stats, package:graphics, package:utils, Autoloads, package:base James W. MacDonald Affymetrix and cDNA Microarray Core University of Michigan Cancer Center 1500 E. Medical Center Drive 7410 CCGC Ann Arbor MI 48109 734-647-5623 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-devel
