• using R version 3.0.1 (2013-05-16)
• using platform: i686-pc-linux-gnu (32-bit)
• using session charset: UTF-8
• checking for file ‘arules/DESCRIPTION’ ... OK
• this is package ‘arules’ version ‘1.0-13’
• checking package namespace information ... OK
• checking package dependencies ... OK
• checking if this is a source package ... OK
• checking if there is a namespace ... OK
• checking for executable files ... OK
• checking for hidden files and directories ... OK
• checking for portable file names ... OK
• checking for sufficient/correct file permissions ... OK
• checking whether package ‘arules’ can be installed ... OK
• checking installed package size ... OK
• checking package directory ... OK
• checking DESCRIPTION meta-information ... OK
• checking top-level files ... OK
• checking for left-over 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 package can be unloaded cleanly ... OK
• checking whether the namespace can be loaded with stated dependencies ... OK
• checking whether the namespace can be unloaded cleanly ... OK
• checking loading without being on the library search path ... 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 Rd contents ... OK
• checking for unstated dependencies in examples ... OK
• checking contents of ‘data’ directory ... OK
• checking data for non-ASCII characters ... OK
• checking data for ASCII and uncompressed saves ... OK
• checking line endings in C/C++/Fortran sources/headers ... OK
• checking line endings in Makefiles ... OK
• checking for portable compilation flags in Makevars ... OK
• checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK
• checking compiled code ... OK
• checking sizes of PDF files under ‘inst/doc’ ... OK
• checking installed files from ‘inst/doc’ ... OK
• checking examples ... [29s/29s] OK
• checking for unstated dependencies in tests ... OK
• checking tests ... [27s/27s] OK
  Running ‘associations.R’ [3s/3s]
  Comparing ‘associations.Rout’ to ‘associations.Rout.save’ ... OK
  Running ‘extract.R’ [4s/4s]
  Comparing ‘extract.Rout’ to ‘extract.Rout.save’ ... OK
  Running ‘interfaces.R’ [3s/3s]
  Comparing ‘interfaces.Rout’ to ‘interfaces.Rout.save’ ...61c61
  < 2 {d} => {b} 0.2857143 1.0 1.40
  ---
  > 2 {b} => {d} 0.2857143 0.4 1.40
  Running ‘itemMatrix.R’ [3s/3s]
  Comparing ‘itemMatrix.Rout’ to ‘itemMatrix.Rout.save’ ... OK
  Running ‘matrix.R’ [3s/3s]
  Comparing ‘matrix.Rout’ to ‘matrix.Rout.save’ ... OK
  Running ‘measures.R’ [5s/5s]
  Comparing ‘measures.Rout’ to ‘measures.Rout.save’ ...186,247c186,247
  < improvement chiSquare cosine conviction gini oddsRatio
  < 1 Inf NaN 0.7745967 1.0 NaN NaN
  < 2 Inf 5.0000000 1.0000000 Inf 0.32000000 Inf
  < 3 Inf 5.0000000 1.0000000 Inf 0.32000000 Inf
  < 4 Inf 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 5 Inf 1.8750000 0.7071068 1.6 0.12000000 Inf
  < 6 Inf 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 7 Inf 1.8750000 0.7071068 1.6 0.12000000 Inf
  < 8 0.4 0.8333333 0.5773503 Inf 0.08000000 Inf
  < 9 0.4 2.2222222 0.8164966 Inf 0.21333333 Inf
  < 10 Inf 2.2222222 0.8164966 1.8 0.21333333 -1.80144e+16
  < 11 Inf 5.0000000 1.0000000 Inf 0.48000000 Inf
  < 12 Inf 5.0000000 1.0000000 Inf 0.48000000 Inf
  < 13 -0.1 0.1388889 0.4082483 0.8 0.01333333 5.00000e-01
  < 14 -0.1 0.1388889 0.4082483 0.8 0.01333333 5.00000e-01
  < 15 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 16 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 17 0.0 1.8750000 0.7071068 1.6 0.12000000 Inf
  < 18 0.0 0.8333333 0.5773503 Inf 0.08000000 Inf
  < 19 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 20 0.5 5.0000000 1.0000000 Inf 0.32000000 Inf
  < 21 0.0 0.8333333 0.5773503 Inf 0.08000000 Inf
  < 22 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 23 0.5 5.0000000 1.0000000 Inf 0.32000000 Inf
  < 24 -0.1 0.1388889 0.4082483 0.8 0.01333333 5.00000e-01
  < 25 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 26 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 27 0.0 0.8333333 0.5773503 Inf 0.08000000 Inf
  < 28 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 29 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 30 0.0 5.0000000 1.0000000 Inf 0.32000000 Inf
  < phi doc
  < 1 NaN NaN
  < 2 1.0000000 1.0000000
  < 3 1.0000000 1.0000000
  < 4 0.6123724 0.7500000
  < 5 0.6123724 0.5000000
  < 6 0.6123724 0.7500000
  < 7 0.6123724 0.5000000
  < 8 0.4082483 0.5000000
  < 9 0.6666667 0.6666667
  < 10 0.6666667 0.6666667
  < 11 1.0000000 1.0000000
  < 12 1.0000000 1.0000000
  < 13 -0.1666667 -0.1666667
  < 14 -0.1666667 -0.1666667
  < 15 0.6123724 0.7500000
  < 16 0.6123724 0.7500000
  < 17 0.6123724 0.5000000
  < 18 0.4082483 0.5000000
  < 19 0.6123724 0.7500000
  < 20 1.0000000 1.0000000
  < 21 0.4082483 0.5000000
  < 22 0.6123724 0.7500000
  < 23 1.0000000 1.0000000
  < 24 -0.1666667 -0.1666667
  < 25 0.6123724 0.7500000
  < 26 0.6123724 0.7500000
  < 27 0.4082483 0.5000000
  < 28 0.6123724 0.7500000
  < 29 0.6123724 0.7500000
  < 30 1.0000000 1.0000000
  ---
  > improvement chiSquare cosine conviction gini oddsRatio phi
  > 1 Inf NaN 0.7745967 1.0 NaN NaN NaN
  > 2 Inf 5.0000000 1.0000000 Inf 0.32000000 Inf 1.0000000
  > 3 Inf 5.0000000 1.0000000 Inf 0.32000000 Inf 1.0000000
  > 4 Inf 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 5 Inf 1.8750000 0.7071068 1.6 0.12000000 Inf 0.6123724
  > 6 Inf 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 7 Inf 1.8750000 0.7071068 1.6 0.12000000 Inf 0.6123724
  > 8 0.4 0.8333333 0.5773503 Inf 0.08000000 Inf 0.4082483
  > 9 0.4 2.2222222 0.8164966 Inf 0.21333333 Inf 0.6666667
  > 10 Inf 2.2222222 0.8164966 1.8 0.21333333 Inf 0.6666667
  > 11 Inf 5.0000000 1.0000000 Inf 0.48000000 Inf 1.0000000
  > 12 Inf 5.0000000 1.0000000 Inf 0.48000000 Inf 1.0000000
  > 13 -0.1 0.1388889 0.4082483 0.8 0.01333333 0.5 -0.1666667
  > 14 -0.1 0.1388889 0.4082483 0.8 0.01333333 0.5 -0.1666667
  > 15 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 16 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 17 0.0 1.8750000 0.7071068 1.6 0.12000000 Inf 0.6123724
  > 18 0.0 0.8333333 0.5773503 Inf 0.08000000 Inf 0.4082483
  > 19 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 20 0.5 5.0000000 1.0000000 Inf 0.32000000 Inf 1.0000000
  > 21 0.0 0.8333333 0.5773503 Inf 0.08000000 Inf 0.4082483
  > 22 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 23 0.5 5.0000000 1.0000000 Inf 0.32000000 Inf 1.0000000
  > 24 -0.1 0.1388889 0.4082483 0.8 0.01333333 0.5 -0.1666667
  > 25 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 26 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 27 0.0 0.8333333 0.5773503 Inf 0.08000000 Inf 0.4082483
  > 28 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 29 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 30 0.0 5.0000000 1.0000000 Inf 0.32000000 Inf 1.0000000
  > doc
  > 1 NaN
  > 2 1.0000000
  > 3 1.0000000
  > 4 0.7500000
  > 5 0.5000000
  > 6 0.7500000
  > 7 0.5000000
  > 8 0.5000000
  > 9 0.6666667
  > 10 0.6666667
  > 11 1.0000000
  > 12 1.0000000
  > 13 -0.1666667
  > 14 -0.1666667
  > 15 0.7500000
  > 16 0.7500000
  > 17 0.5000000
  > 18 0.5000000
  > 19 0.7500000
  > 20 1.0000000
  > 21 0.5000000
  > 22 0.7500000
  > 23 1.0000000
  > 24 -0.1666667
  > 25 0.7500000
  > 26 0.7500000
  > 27 0.5000000
  > 28 0.7500000
  > 29 0.7500000
  > 30 1.0000000
  283,344c283,344
  < improvement chiSquare cosine conviction gini oddsRatio
  < 1 Inf NaN 0.7745967 1.0 NaN NaN
  < 2 Inf 5.0000000 1.0000000 Inf 0.32000000 Inf
  < 3 Inf 5.0000000 1.0000000 Inf 0.32000000 Inf
  < 4 Inf 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 5 Inf 1.8750000 0.7071068 1.6 0.12000000 Inf
  < 6 Inf 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 7 Inf 1.8750000 0.7071068 1.6 0.12000000 Inf
  < 8 0.4 0.8333333 0.5773503 Inf 0.08000000 Inf
  < 9 0.4 2.2222222 0.8164966 Inf 0.21333333 Inf
  < 10 Inf 2.2222222 0.8164966 1.8 0.21333333 -1.80144e+16
  < 11 Inf 5.0000000 1.0000000 Inf 0.48000000 Inf
  < 12 Inf 5.0000000 1.0000000 Inf 0.48000000 Inf
  < 13 -0.1 0.1388889 0.4082483 0.8 0.01333333 5.00000e-01
  < 14 -0.1 0.1388889 0.4082483 0.8 0.01333333 5.00000e-01
  < 15 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 16 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 17 0.0 1.8750000 0.7071068 1.6 0.12000000 Inf
  < 18 0.0 0.8333333 0.5773503 Inf 0.08000000 Inf
  < 19 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 20 0.5 5.0000000 1.0000000 Inf 0.32000000 Inf
  < 21 0.0 0.8333333 0.5773503 Inf 0.08000000 Inf
  < 22 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 23 0.5 5.0000000 1.0000000 Inf 0.32000000 Inf
  < 24 -0.1 0.1388889 0.4082483 0.8 0.01333333 5.00000e-01
  < 25 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 26 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 27 0.0 0.8333333 0.5773503 Inf 0.08000000 Inf
  < 28 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 29 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf
  < 30 0.0 5.0000000 1.0000000 Inf 0.32000000 Inf
  < phi doc
  < 1 NaN NaN
  < 2 1.0000000 1.0000000
  < 3 1.0000000 1.0000000
  < 4 0.6123724 0.7500000
  < 5 0.6123724 0.5000000
  < 6 0.6123724 0.7500000
  < 7 0.6123724 0.5000000
  < 8 0.4082483 0.5000000
  < 9 0.6666667 0.6666667
  < 10 0.6666667 0.6666667
  < 11 1.0000000 1.0000000
  < 12 1.0000000 1.0000000
  < 13 -0.1666667 -0.1666667
  < 14 -0.1666667 -0.1666667
  < 15 0.6123724 0.7500000
  < 16 0.6123724 0.7500000
  < 17 0.6123724 0.5000000
  < 18 0.4082483 0.5000000
  < 19 0.6123724 0.7500000
  < 20 1.0000000 1.0000000
  < 21 0.4082483 0.5000000
  < 22 0.6123724 0.7500000
  < 23 1.0000000 1.0000000
  < 24 -0.1666667 -0.1666667
  < 25 0.6123724 0.7500000
  < 26 0.6123724 0.7500000
  < 27 0.4082483 0.5000000
  < 28 0.6123724 0.7500000
  < 29 0.6123724 0.7500000
  < 30 1.0000000 1.0000000
  ---
  > improvement chiSquare cosine conviction gini oddsRatio phi
  > 1 Inf NaN 0.7745967 1.0 NaN NaN NaN
  > 2 Inf 5.0000000 1.0000000 Inf 0.32000000 Inf 1.0000000
  > 3 Inf 5.0000000 1.0000000 Inf 0.32000000 Inf 1.0000000
  > 4 Inf 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 5 Inf 1.8750000 0.7071068 1.6 0.12000000 Inf 0.6123724
  > 6 Inf 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 7 Inf 1.8750000 0.7071068 1.6 0.12000000 Inf 0.6123724
  > 8 0.4 0.8333333 0.5773503 Inf 0.08000000 Inf 0.4082483
  > 9 0.4 2.2222222 0.8164966 Inf 0.21333333 Inf 0.6666667
  > 10 Inf 2.2222222 0.8164966 1.8 0.21333333 Inf 0.6666667
  > 11 Inf 5.0000000 1.0000000 Inf 0.48000000 Inf 1.0000000
  > 12 Inf 5.0000000 1.0000000 Inf 0.48000000 Inf 1.0000000
  > 13 -0.1 0.1388889 0.4082483 0.8 0.01333333 0.5 -0.1666667
  > 14 -0.1 0.1388889 0.4082483 0.8 0.01333333 0.5 -0.1666667
  > 15 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 16 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 17 0.0 1.8750000 0.7071068 1.6 0.12000000 Inf 0.6123724
  > 18 0.0 0.8333333 0.5773503 Inf 0.08000000 Inf 0.4082483
  > 19 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 20 0.5 5.0000000 1.0000000 Inf 0.32000000 Inf 1.0000000
  > 21 0.0 0.8333333 0.5773503 Inf 0.08000000 Inf 0.4082483
  > 22 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 23 0.5 5.0000000 1.0000000 Inf 0.32000000 Inf 1.0000000
  > 24 -0.1 0.1388889 0.4082483 0.8 0.01333333 0.5 -0.1666667
  > 25 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 26 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 27 0.0 0.8333333 0.5773503 Inf 0.08000000 Inf 0.4082483
  > 28 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 29 0.0 1.8750000 0.7071068 Inf 0.18000000 Inf 0.6123724
  > 30 0.0 5.0000000 1.0000000 Inf 0.32000000 Inf 1.0000000
  > doc
  > 1 NaN
  > 2 1.0000000
  > 3 1.0000000
  > 4 0.7500000
  > 5 0.5000000
  > 6 0.7500000
  > 7 0.5000000
  > 8 0.5000000
  > 9 0.6666667
  > 10 0.6666667
  > 11 1.0000000
  > 12 1.0000000
  > 13 -0.1666667
  > 14 -0.1666667
  > 15 0.7500000
  > 16 0.7500000
  > 17 0.5000000
  > 18 0.5000000
  > 19 0.7500000
  > 20 1.0000000
  > 21 0.5000000
  > 22 0.7500000
  > 23 1.0000000
  > 24 -0.1666667
  > 25 0.7500000
  > 26 0.7500000
  > 27 0.5000000
  > 28 0.7500000
  > 29 0.7500000
  > 30 1.0000000
  Running ‘sets.R’ [3s/3s]
  Comparing ‘sets.Rout’ to ‘sets.Rout.save’ ... OK
  Running ‘transactions.R’ [3s/3s]
  Comparing ‘transactions.Rout’ to ‘transactions.Rout.save’ ... OK
• checking for unstated dependencies in vignettes ... OK
• checking package vignettes in ‘inst/doc’ ... OK
• checking running R code from vignettes ... [11s/11s] OK
• checking re-building of vignette PDFs ... [11s/11s] OK
• checking PDF version of manual ... OK