Running ‘DamonData.R’ [12m/14m]
  Running ‘MAMSatterthKR.R’ [12s/13s]
  Running ‘MAMex.R’ [9s/13s]
  Running ‘NSstd.R’ [12s/13s]
  Running ‘OneFixedEff.R’ [11s/14s]
  Running ‘bugRand.R’ [26s/28s]
  Running ‘bugRefit.R’ [10s/11s]
  Running ‘bugUpdate.R’
  Running ‘bugUpdateLmer.R’ [9s/11s]
  Running ‘bugstep.R’ [15s/19s]
  Running ‘convergeTest.R’ [81s/90s]
  Running ‘envir.R’ [13s/16s]
  Running ‘formulas.R’ [12s/14s]
  Running ‘lmerMod.R’ [17s/22s]
  Running ‘packageExamplesExtra.R’ [17s/21s]
  Comparing ‘packageExamplesExtra.Rout’ to ‘packageExamplesExtra.Rout.save’ ...36c36
< Days  29442   29442     1 18.188  45.046 2.571e-06 ***
---
> Days  29442   29442     1 28.247  45.046 2.638e-07 ***
89a90,92
> Note: method with signature 'sparseMatrix#ANY' chosen for function 'kronecker',
>  target signature 'dgCMatrix#ngCMatrix'.
>  "ANY#sparseMatrix" would also be valid
93c96
< Days  30031   30031     1    17  45.853 3.264e-06 ***
---
> Days  30031   30031     1 27.997  45.853 2.359e-07 ***
  Running ‘rankDeficiency.R’ [14s/18s]
  Running ‘rankDeficiency2.R’ [20s/21s]
  Running ‘summary.R’ [358s/432s]
  Running ‘summaryDDF.R’
  Running ‘test-all.R’
  Running ‘testANCOVA.R’ [15s/16s]
  Running ‘testContrasts.R’ [20s/23s]
  Running ‘testExamplesFromPaper.R’ [51s/58s]
  Comparing ‘testExamplesFromPaper.Rout’ to ‘testExamplesFromPaper.Rout.save’ ...29,30c29,30
< TVset:Picture:Repeat     0.00      1        1  1.0000
< Repeat:Picture           0.00      1        2  1.0000
---
> Repeat:Picture           0.00      1        1  1.0000
> TVset:Picture:Repeat     0.00      1        2  1.0000
192c192
< TVset:Picture  TV2 1 -  TV3 3   -1.069   0.005 ** 
---
> TVset:Picture  TV2 1 -  TV3 3   -1.068   0.005 ** 
217c217
< TVset:Picture  TV2 2 -  TV1 4    1.213   0.381    
---
> TVset:Picture  TV2 2 -  TV1 4    1.213   0.380    
  Running ‘testKeep.R’ [99s/115s]
  Comparing ‘testKeep.Rout’ to ‘testKeep.Rout.save’ ...35c35
< Homesize:Age              7.0540  2.3513     3   95.02  2.1263        6 0.1020
---
> Homesize:Age              7.0541  2.3514     3   95.02  2.1263        6 0.1020
85c85
< sens1:Age                 1.1949  0.5975     3  851.73  0.5377        8 0.5843
---
> sens1:Age                 1.1949  0.5975     3  851.72  0.5377        8 0.5843
322,323c322,323
< Picture       244.0612 81.3537     3   173 25.5020     kept <1e-07
< TVset:Picture  22.4487  3.7415     6   173  1.1728     kept 0.3230
---
> Picture       244.0613 81.3538     3   173 25.5020     kept <1e-07
> TVset:Picture  22.4488  3.7415     6   173  1.1728     kept 0.3230
468c468
< TVset:Picture  TV2 1 -  TV1 2   2.4901   0.051 .  
---
> TVset:Picture  TV2 1 -  TV1 2   2.4901   0.050 .  
474c474
< TVset:Picture  TV2 1 -  TV1 4   2.4214   0.065 .  
---
> TVset:Picture  TV2 1 -  TV1 4   2.4214   0.064 .  
  Running ‘testNamesDDF.R’ [16s/25s]
  Running ‘testRand.R’ [62s/74s]
  Comparing ‘testRand.Rout’ to ‘testRand.Rout.save’ ...52c52
< Homesize:Age              5.9012  1.9671     3   94.85  1.8972        7 0.1353
---
> Homesize:Age              5.9012  1.9671     3   94.85  1.8971        7 0.1353
59c59
< sens2                    18.1646 18.1646     1   12.19 17.4797     kept 0.0012
---
> sens2                    18.1648 18.1648     1   12.19 17.4799     kept 0.0012
  Running ‘testSlopesFactors.R’ [32s/34s]
  Running ‘testTVbo.R’ [22s/25s]
  Comparing ‘testTVbo.Rout’ to ‘testTVbo.Rout.save’ ...109c109
< TVset         50.092 25.0462     2    14 14.0886 0.000444 ***
---
> TVset         50.092 25.0462     2    14 14.0887 0.000444 ***
  Running ‘testType2.R’ [14s/15s]
  Running ‘updateData.R’ [13s/15s]
  Running ‘zeroDenom.R’ [12s/13s]
Running the tests in ‘tests/DamonData.R’ failed.
Complete output:
  > testSat <- TRUE
  > testKen <- TRUE
  > 
  > if(testSat){
  +   ## checking on big data sets
  +   
  +   require(lmerTest)
  +   
  +   load(system.file("testdata", "ttDamon.RData", package="lmerTest"))
  +   
  +   testFirstR02.test=lmer(RT2LogR ~ condition*v_matri_plus_n_indef_freq_sq+
  +                            (1+condition|Subject),ttDamon, REML=TRUE)
  +   
  +   an.sat <- anova(testFirstR02.test)
  +   
  +   TOL <- 1e-2 # for the check
  +   
  +   ## with 4 decimals should agree with SAS output
  +   ## numbers before decimals should agree with SAS output
  +   stopifnot(
  +     all.equal(an.sat[,"DenDF"], c(76.206, 6074.6, 6146.1), tol = TOL), 
  +     all.equal(an.sat[, "F.value"], c(9.2182, 2.8360, 6.6544), tol = TOL)
  +     , TRUE)
  +   
  +   ## check with calcSatterth function
  +   # L <- matrix(0, nrow=3, ncol=8)
  +   # L[1,2] <- L[2,3] <- L[3,4] <- 1
  +   # system.time(calcSatterth(testFirstR02.test, L))
  +   # if(require(pbkrtest))
  +   #   system.time(KRmodcomp(testFirstR02.test, L))
  +   
  +   if(testKen){
  +     if(require(pbkrtest))
  +       an.kenw <- anova(testFirstR02.test, ddf="kenw")
  +     stopifnot(ncol(an.kenw) == 6)
  +   }  
  +     
  + }
  Loading required package: lmerTest
  Loading required package: Matrix
  Loading required package: lme4
  
  Attaching package: 'lmerTest'
  
  The following object is masked from 'package:lme4':
  
      lmer
  
  The following object is masked from 'package:stats':
  
      step
  
  Loading required package: pbkrtest
  anova from lme4 is returned
  some computational error has occurred in lmerTest
  Error: ncol(an.kenw) == 6 is not TRUE
  Execution halted