- using log directory '/data/gannet/tmp/ripley/R/packages/tests-Sun/arules.Rcheck'
- using R version 2.11.0 Under development (unstable) (2010-02-03 r51097)
- using session charset: UTF-8
- checking for file 'arules/DESCRIPTION' ... OK
- this is package 'arules' version '1.0-1'
- 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 'arules' 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 package can be unloaded cleanly ... OK
- checking whether the name space can be loaded with stated dependencies ... OK
- checking whether the name space can be unloaded cleanly ... 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 data for non-ASCII characters ... 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 ... OK
- checking examples ... OK
- checking tests ...
Running ‘associations.R’
Comparing ‘associations.Rout’ to ‘associations.Rout.save’ ...7c7,8
< The following object(s) are masked from 'package:base':
---
>
> The following object(s) are masked from package:base :
Running ‘extract.R’
Comparing ‘extract.Rout’ to ‘extract.Rout.save’ ...8c8,9
< The following object(s) are masked from 'package:base':
---
>
> The following object(s) are masked from package:base :
Running ‘interfaces.R’
Comparing ‘interfaces.Rout’ to ‘interfaces.Rout.save’ ...7c7,8
< The following object(s) are masked from 'package:base':
---
>
> The following object(s) are masked from package:base :
61c62
< 2 {b} => {d} 0.2857143 0.4 1.40
---
> 2 {d} => {b} 0.2857143 1.0 1.40
Running ‘matrix.R’
Comparing ‘matrix.Rout’ to ‘matrix.Rout.save’ ...8c8,9
< The following object(s) are masked from 'package:base':
---
>
> The following object(s) are masked from package:base :
105c106
< [1] "Component 2: Component 2: 'is.NA' value mismatch: 0 in current 4 in target"
---
> [1] TRUE
133c134
< [1] "Component 2: Component 1: 'is.NA' value mismatch: 0 in current 4 in target"
---
> [1] TRUE
Running ‘measures.R’
Comparing ‘measures.Rout’ to ‘measures.Rout.save’ ...7c7,8
< The following object(s) are masked from 'package:base':
---
>
> The following object(s) are masked from package:base :
186,247c187,248
< 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
---
> 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
283,344c284,345
< 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
---
> 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
Running ‘sets.R’
Comparing ‘sets.Rout’ to ‘sets.Rout.save’ ...7c7,8
< The following object(s) are masked from 'package:base':
---
>
> The following object(s) are masked from package:base :
Running ‘transactions.R’
Comparing ‘transactions.Rout’ to ‘transactions.Rout.save’ ...7c7,8
< The following object(s) are masked from 'package:base':
---
>
> The following object(s) are masked from package:base :
OK
- checking package vignettes in 'inst/doc' ... OK
- checking PDF version of manual ... OK
Time 4:50.06, 179.45 + 9.58