* using log directory 'd:/Rcompile/CRANpkg/local/2.13/DoE.wrapper.Rcheck' * using R version 2.13.2 (2011-09-30) * using platform: i386-pc-mingw32 (32-bit) * using session charset: ISO8859-1 * checking for file 'DoE.wrapper/DESCRIPTION' ... OK * this is package 'DoE.wrapper' version '0.8-6' * package encoding: latin1 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking whether package 'DoE.wrapper' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking for portable file names ... 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 namespace can be loaded with stated dependencies ... OK * checking whether the namespace 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 for unstated dependencies in examples ... OK * checking examples ... OK * checking for unstated dependencies in tests ... OK * checking tests ... OK Running 'Dopt.test.R' Comparing 'Dopt.test.Rout' to 'Dopt.test.Rout.save' ...8d7 < The following object(s) are masked from 'package:conf.design': 10,12c9 < factorize.factor < < The following object(s) are masked from 'package:relimp': --- > The following object(s) are masked from package:relimp : 16d12 < The following object(s) are masked from 'package:stats': 18c14,17 < aov, lm --- > The following object(s) are masked from package:stats : > > lm > 20c19 < The following object(s) are masked from 'package:graphics': --- > The following object(s) are masked from package:graphics : 24c23,24 < The following object(s) are masked from 'package:utils': --- > > The following object(s) are masked from package:utils : 31c31,32 < The following object(s) are masked from 'package:BsMD': --- > > The following object(s) are masked from package:BsMD : 295c296 < -1.3672 -0.3520 -0.0098 0.2658 1.7043 --- > -1.367240 -0.352000 -0.009798 0.265763 1.704312 743,746d743 < WARNING: This is a split plot design, whole plot effects may have larger variance! < p-values for whole plot effects may be misleadingly low! < The whole plot effects are: < [1] semester reader Running 'bbd.test.R' Comparing 'bbd.test.Rout' to 'bbd.test.Rout.save' ...8,11d7 < The following object(s) are masked from 'package:conf.design': < < factorize.factor < 34a31,32 > Warning message: > package 'rsm' was built under R version 2.11.1 Running 'ccd.augment.test.R' Comparing 'ccd.augment.test.Rout' to 'ccd.augment.test.Rout.save' ...8d7 < The following object(s) are masked from 'package:conf.design': 10,20c9 < factorize.factor < < The following object(s) are masked from 'package:relimp': < < showData < < The following object(s) are masked from 'package:stats': < < aov, lm < < The following object(s) are masked from 'package:graphics': --- > The following object(s) are masked from package:graphics : 24c13,14 < The following object(s) are masked from 'package:utils': --- > > The following object(s) are masked from package:utils : 31c21,22 < The following object(s) are masked from 'package:BsMD': --- > > The following object(s) are masked from package:BsMD : 67d57 < creating full factorial with 8 runs ... 369,406c359,396 < C1.1 39 C1.1 1 30.00000 24.00000 100.0000 30.00000 < C1.2 40 C1.2 1 50.00000 24.00000 100.0000 30.00000 < C1.3 41 C1.3 1 30.00000 24.00000 100.0000 75.00000 < C1.4 42 C1.4 1 50.00000 24.00000 100.0000 75.00000 < C1.5 43 C1.5 1 30.00000 24.00000 100.0000 30.00000 < C1.6 44 C1.6 1 50.00000 24.00000 100.0000 30.00000 < C1.7 45 C1.7 1 30.00000 24.00000 100.0000 75.00000 < C1.8 46 C1.8 1 50.00000 24.00000 100.0000 75.00000 < C1.9 47 C1.9 1 30.00000 26.00000 100.0000 30.00000 < C1.10 48 C1.10 1 50.00000 26.00000 100.0000 30.00000 < C1.11 49 C1.11 1 30.00000 26.00000 100.0000 75.00000 < C1.12 50 C1.12 1 50.00000 26.00000 100.0000 75.00000 < C1.13 51 C1.13 1 30.00000 26.00000 100.0000 30.00000 < C1.14 52 C1.14 1 50.00000 26.00000 100.0000 30.00000 < C1.15 53 C1.15 1 30.00000 26.00000 100.0000 75.00000 < C1.16 54 C1.16 1 50.00000 26.00000 100.0000 75.00000 < C1.17 55 C1.17 1 30.00000 24.00000 400.0000 30.00000 < C1.18 56 C1.18 1 50.00000 24.00000 400.0000 30.00000 < C1.19 57 C1.19 1 30.00000 24.00000 400.0000 75.00000 < C1.20 58 C1.20 1 50.00000 24.00000 400.0000 75.00000 < C1.21 59 C1.21 1 30.00000 24.00000 400.0000 30.00000 < C1.22 60 C1.22 1 50.00000 24.00000 400.0000 30.00000 < C1.23 61 C1.23 1 30.00000 24.00000 400.0000 75.00000 < C1.24 62 C1.24 1 50.00000 24.00000 400.0000 75.00000 < C1.25 63 C1.25 1 30.00000 26.00000 400.0000 30.00000 < C1.26 64 C1.26 1 50.00000 26.00000 400.0000 30.00000 < C1.27 65 C1.27 1 30.00000 26.00000 400.0000 75.00000 < C1.28 66 C1.28 1 50.00000 26.00000 400.0000 75.00000 < C1.29 67 C1.29 1 30.00000 26.00000 400.0000 30.00000 < C1.30 68 C1.30 1 50.00000 26.00000 400.0000 30.00000 < C1.31 69 C1.31 1 30.00000 26.00000 400.0000 75.00000 < C1.32 70 C1.32 1 50.00000 26.00000 400.0000 75.00000 < C1.33 71 C1.33 1 40.00000 25.00000 250.0000 52.50000 < C1.34 72 C1.34 1 40.00000 25.00000 250.0000 52.50000 < C1.35 73 C1.35 1 40.00000 25.00000 250.0000 52.50000 < C1.36 74 C1.36 1 40.00000 25.00000 250.0000 52.50000 < C1.37 75 C1.37 1 40.00000 25.00000 250.0000 52.50000 < C1.38 76 C1.38 1 40.00000 25.00000 250.0000 52.50000 --- > C1.1 39 C1.39 1 30.00000 24.00000 100.0000 30.00000 > C1.2 40 C1.40 1 50.00000 24.00000 100.0000 30.00000 > C1.3 41 C1.41 1 30.00000 24.00000 100.0000 75.00000 > C1.4 42 C1.42 1 50.00000 24.00000 100.0000 75.00000 > C1.5 43 C1.43 1 30.00000 24.00000 100.0000 30.00000 > C1.6 44 C1.44 1 50.00000 24.00000 100.0000 30.00000 > C1.7 45 C1.45 1 30.00000 24.00000 100.0000 75.00000 > C1.8 46 C1.46 1 50.00000 24.00000 100.0000 75.00000 > C1.9 47 C1.47 1 30.00000 26.00000 100.0000 30.00000 > C1.10 48 C1.48 1 50.00000 26.00000 100.0000 30.00000 > C1.11 49 C1.49 1 30.00000 26.00000 100.0000 75.00000 > C1.12 50 C1.50 1 50.00000 26.00000 100.0000 75.00000 > C1.13 51 C1.51 1 30.00000 26.00000 100.0000 30.00000 > C1.14 52 C1.52 1 50.00000 26.00000 100.0000 30.00000 > C1.15 53 C1.53 1 30.00000 26.00000 100.0000 75.00000 > C1.16 54 C1.54 1 50.00000 26.00000 100.0000 75.00000 > C1.17 55 C1.55 1 30.00000 24.00000 400.0000 30.00000 > C1.18 56 C1.56 1 50.00000 24.00000 400.0000 30.00000 > C1.19 57 C1.57 1 30.00000 24.00000 400.0000 75.00000 > C1.20 58 C1.58 1 50.00000 24.00000 400.0000 75.00000 > C1.21 59 C1.59 1 30.00000 24.00000 400.0000 30.00000 > C1.22 60 C1.60 1 50.00000 24.00000 400.0000 30.00000 > C1.23 61 C1.61 1 30.00000 24.00000 400.0000 75.00000 > C1.24 62 C1.62 1 50.00000 24.00000 400.0000 75.00000 > C1.25 63 C1.63 1 30.00000 26.00000 400.0000 30.00000 > C1.26 64 C1.64 1 50.00000 26.00000 400.0000 30.00000 > C1.27 65 C1.65 1 30.00000 26.00000 400.0000 75.00000 > C1.28 66 C1.66 1 50.00000 26.00000 400.0000 75.00000 > C1.29 67 C1.67 1 30.00000 26.00000 400.0000 30.00000 > C1.30 68 C1.68 1 50.00000 26.00000 400.0000 30.00000 > C1.31 69 C1.69 1 30.00000 26.00000 400.0000 75.00000 > C1.32 70 C1.70 1 50.00000 26.00000 400.0000 75.00000 > C1.33 71 C1.71 1 40.00000 25.00000 250.0000 52.50000 > C1.34 72 C1.72 1 40.00000 25.00000 250.0000 52.50000 > C1.35 73 C1.73 1 40.00000 25.00000 250.0000 52.50000 > C1.36 74 C1.74 1 40.00000 25.00000 250.0000 52.50000 > C1.37 75 C1.75 1 40.00000 25.00000 250.0000 52.50000 > C1.38 76 C1.76 1 40.00000 25.00000 250.0000 52.50000 Running 'qua.design.test.R' Comparing 'qua.design.test.Rout' to 'qua.design.test.Rout.save' ...8d7 < The following object(s) are masked from 'package:conf.design': 10,12c9 < factorize.factor < < The following object(s) are masked from 'package:relimp': --- > The following object(s) are masked from package:relimp : 16d12 < The following object(s) are masked from 'package:stats': 18c14,17 < aov, lm --- > The following object(s) are masked from package:stats : > > lm > 20c19 < The following object(s) are masked from 'package:graphics': --- > The following object(s) are masked from package:graphics : 24c23,24 < The following object(s) are masked from 'package:utils': --- > > The following object(s) are masked from package:utils : 31c31,32 < The following object(s) are masked from 'package:BsMD': --- > > The following object(s) are masked from package:BsMD : 65,67c66 < lm.default(formula = y ~ ., data = qua.design(plan, quantitative = "none", < contrasts = c(A = "contr.treatment", B = "contr.treatment", < C = "contr.treatment"))) --- > lm.default(formula = y ~ ., data = qua.design(plan, quantitative = "none", contrasts = c(A = "contr.treatment", B = "contr.treatment", C = "contr.treatment"))) 107,109c106 < lm.default(formula = y ~ ., data = qua.design(plan, quantitative = "none", < contrasts = c(X1 = "contr.treatment", X2 = "contr.treatment", < X3 = "contr.treatment", X4 = "contr.helmert"))) --- > lm.default(formula = y ~ ., data = qua.design(plan, quantitative = "none", contrasts = c(X1 = "contr.treatment", X2 = "contr.treatment", X3 = "contr.treatment", X4 = "contr.helmert"))) 145,147c142 < lm.default(formula = y ~ ., data = qua.design(plan, quantitative = "none", < contrasts = c(A = "contr.treatment", B = "contr.treatment", < C = "contr.treatment", D = "contr.helmert"))) --- > lm.default(formula = y ~ ., data = qua.design(plan, quantitative = "none", contrasts = c(A = "contr.treatment", B = "contr.treatment", C = "contr.treatment", D = "contr.helmert"))) 178,180c173 < lm.default(formula = y ~ ., data = qua.design(plan, quantitative = "none", < contrasts = c(A = "contr.treatment", B = "contr.treatment", < C = "contr.treatment", D = "contr.helmert"))) --- > lm.default(formula = y ~ ., data = qua.design(plan, quantitative = "none", contrasts = c(A = "contr.treatment", B = "contr.treatment", C = "contr.treatment", D = "contr.helmert"))) * checking PDF version of manual ... OK