• using R version 2.10.0 Patched (2009-11-18 r50482)
• using session charset: ASCII
• checking for file 'clv/DESCRIPTION' ... OK
• this is package 'clv' version '0.3-2'
• checking package name space information ... OK
• checking package dependencies ... OK
• checking if this is a source package ... OK
• checking for executable files ... OK
• checking whether package 'clv' can be installed ... OK
• checking package directory ... OK
• checking for portable file names ... OK
• checking for sufficient/correct file permissions ... OK
• checking DESCRIPTION meta-information ... OK
• checking top-level files ... OK
• checking index information ... OK
• checking package subdirectories ... OK
• checking R files for non-ASCII characters ... OK
• checking R files for syntax errors ... OK
• checking whether the package can be loaded ... OK
• checking whether the package can be loaded with stated dependencies ... OK
• checking whether the name space can be loaded with stated dependencies ... OK
• checking for unstated dependencies in R code ... OK
• checking S3 generic/method consistency ... OK
• checking replacement functions ... OK
• checking foreign function calls ... OK
• checking R code for possible problems ... OK
• checking Rd files ... OK
• checking Rd metadata ... OK
• checking Rd cross-references ... OK
• checking for missing documentation entries ... OK
• checking for code/documentation mismatches ... OK
• checking Rd \usage sections ... OK
• checking line endings in C/C++/Fortran sources/headers ... OK
• checking line endings in Makefiles ... OK
• checking for portable use of $BLAS_LIBS ... OK
• checking examples ... ERROR
  Running examples in 'clv-Ex.R' failed.
  The error most likely occurred in:
  
  > ### * connectivity
  >
  > flush(stderr()); flush(stdout())
  >
  > ### Name: connectivity
  > ### Title: Connectivity Index - Internal Measure
  > ### Aliases: connectivity connectivity.diss.mx
  > ### Keywords: cluster
  >
  > ### ** Examples
  >
  > # load and prepare data
  > library(clv)
  > data(iris)
  > iris.data <- iris[,1:4]
  >
  > # cluster data
  > pam.mod <- pam(iris.data,5) # create five clusters
  > v.pred <- as.integer(pam.mod$clustering) # get cluster ids associated to gived data objects
  >
  > # compute connectivity index using data and its clusterization
  > conn1 <- connectivity(iris.data, v.pred, 10)
  > conn2 <- connectivity(iris.data, v.pred, 10, dist="manhattan")
  > conn3 <- connectivity(iris.data, v.pred, 10, dist="correlation")
  >
  > # the same using dissimilarity matrix
  > iris.diss.mx <- as.matrix(daisy(iris.data))
  > conn4 <- connectivity.diss.mx(iris.diss.mx, v.pred, 10)
  
  *** caught segfault ***
  address 0x229f3e0, cause 'memory not mapped'
  
  Traceback:
  1: .Call("connectivityDissMx", diss.mx, clust, as.integer(neighbour.num), PACKAGE = "clv")
  2: connectivity.diss.mx(iris.diss.mx, v.pred, 10)
  aborting ...
• elapsed time (check, wall clock): 0:28