IgGeneUsage.Rcheck/tests_i386/testthat.Rout
R version 3.6.3 (2020-02-29) -- "Holding the Windsock"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(testthat)
> library(IgGeneUsage)
Loading required package: Rcpp
Loading required package: SummarizedExperiment
Loading required package: GenomicRanges
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, basename, cbind, colnames, dirname, do.call,
duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
tapply, union, unique, unsplit, which, which.max, which.min
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
The following object is masked from 'package:base':
expand.grid
Loading required package: IRanges
Attaching package: 'IRanges'
The following object is masked from 'package:grDevices':
windows
Loading required package: GenomeInfoDb
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Loading required package: DelayedArray
Loading required package: matrixStats
Attaching package: 'matrixStats'
The following objects are masked from 'package:Biobase':
anyMissing, rowMedians
Loading required package: BiocParallel
Attaching package: 'DelayedArray'
The following objects are masked from 'package:matrixStats':
colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges
The following objects are masked from 'package:base':
aperm, apply, rowsum
Loading required package: StanHeaders
>
> test_check("IgGeneUsage")
Error in t.test.formula((Ys[x, ]/Ns) ~ Xs) :
grouping factor must have exactly 2 levels
Error in t.test.default(x = 0, y = 0) : not enough 'x' observations
Error in t.test.default(x = 0, y = c(0, 0)) : not enough 'x' observations
Error in wilcox.test.formula((Ys[x, ]/Ns) ~ Xs) :
grouping factor must have exactly 2 levels
Error in new_CppObject_xp(fields$.module, fields$.pointer, ...) :
Exception: variable does not exist; processing stage=data initialization; variable name=N_sample; base type=int (in 'model31c82f4235b9_zibb' at line 24)
starting worker pid=6008 on localhost:11466 at 04:18:20.851
starting worker pid=12416 on localhost:11466 at 04:18:21.407
SAMPLING FOR MODEL 'zibb' NOW (CHAIN 1).
SAMPLING FOR MODEL 'zibb' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 0.001 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 10 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 1:
Chain 1: Gradient evaluation took 0 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 2: Iteration: 1 / 1500 [ 0%] (Warmup)
Chain 1: Iteration: 1 / 1500 [ 0%] (Warmup)
Chain 1: Iteration: 250 / 1500 [ 16%] (Warmup)
Chain 2: Iteration: 250 / 1500 [ 16%] (Warmup)
Chain 1: Iteration: 500 / 1500 [ 33%] (Warmup)
Chain 2: Iteration: 500 / 1500 [ 33%] (Warmup)
Chain 1: Iteration: 501 / 1500 [ 33%] (Sampling)
Chain 2: Iteration: 501 / 1500 [ 33%] (Sampling)
Chain 2: Iteration: 750 / 1500 [ 50%] (Sampling)
Chain 1: Iteration: 750 / 1500 [ 50%] (Sampling)
Chain 2: Iteration: 1000 / 1500 [ 66%] (Sampling)
Chain 1: Iteration: 1000 / 1500 [ 66%] (Sampling)
Chain 2: Iteration: 1250 / 1500 [ 83%] (Sampling)
Chain 1: Iteration: 1250 / 1500 [ 83%] (Sampling)
Chain 2: Iteration: 1500 / 1500 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 7.06 seconds (Warm-up)
Chain 2: 11.067 seconds (Sampling)
Chain 2: 18.127 seconds (Total)
Chain 2:
Chain 1: Iteration: 1500 / 1500 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 7.055 seconds (Warm-up)
Chain 1: 11.922 seconds (Sampling)
Chain 1: 18.977 seconds (Total)
Chain 1:
== testthat results ===========================================================
[ OK: 93 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 0 ]
>
> proc.time()
user system elapsed
13.81 0.93 183.31
|
IgGeneUsage.Rcheck/tests_x64/testthat.Rout
R version 3.6.3 (2020-02-29) -- "Holding the Windsock"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(testthat)
> library(IgGeneUsage)
Loading required package: Rcpp
Loading required package: SummarizedExperiment
Loading required package: GenomicRanges
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, basename, cbind, colnames, dirname, do.call,
duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
tapply, union, unique, unsplit, which, which.max, which.min
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
The following object is masked from 'package:base':
expand.grid
Loading required package: IRanges
Attaching package: 'IRanges'
The following object is masked from 'package:grDevices':
windows
Loading required package: GenomeInfoDb
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Loading required package: DelayedArray
Loading required package: matrixStats
Attaching package: 'matrixStats'
The following objects are masked from 'package:Biobase':
anyMissing, rowMedians
Loading required package: BiocParallel
Attaching package: 'DelayedArray'
The following objects are masked from 'package:matrixStats':
colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges
The following objects are masked from 'package:base':
aperm, apply, rowsum
Loading required package: StanHeaders
>
> test_check("IgGeneUsage")
Error in t.test.formula((Ys[x, ]/Ns) ~ Xs) :
grouping factor must have exactly 2 levels
Error in t.test.default(x = 0, y = 0) : not enough 'x' observations
Error in t.test.default(x = 0, y = c(0, 0)) : not enough 'x' observations
Error in wilcox.test.formula((Ys[x, ]/Ns) ~ Xs) :
grouping factor must have exactly 2 levels
Error in new_CppObject_xp(fields$.module, fields$.pointer, ...) :
Exception: variable does not exist; processing stage=data initialization; variable name=N_sample; base type=int (in 'model2c8c6b883f7b_zibb' at line 24)
starting worker pid=11296 on localhost:11861 at 04:21:59.491
starting worker pid=12748 on localhost:11861 at 04:21:59.915
SAMPLING FOR MODEL 'zibb' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1500 [ 0%] (Warmup)
SAMPLING FOR MODEL 'zibb' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 0 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 1500 [ 0%] (Warmup)
Chain 1: Iteration: 250 / 1500 [ 16%] (Warmup)
Chain 2: Iteration: 250 / 1500 [ 16%] (Warmup)
Chain 1: Iteration: 500 / 1500 [ 33%] (Warmup)
Chain 1: Iteration: 501 / 1500 [ 33%] (Sampling)
Chain 2: Iteration: 500 / 1500 [ 33%] (Warmup)
Chain 2: Iteration: 501 / 1500 [ 33%] (Sampling)
Chain 1: Iteration: 750 / 1500 [ 50%] (Sampling)
Chain 2: Iteration: 750 / 1500 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1500 [ 66%] (Sampling)
Chain 2: Iteration: 1000 / 1500 [ 66%] (Sampling)
Chain 1: Iteration: 1250 / 1500 [ 83%] (Sampling)
Chain 2: Iteration: 1250 / 1500 [ 83%] (Sampling)
Chain 1: Iteration: 1500 / 1500 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 4.591 seconds (Warm-up)
Chain 1: 7.605 seconds (Sampling)
Chain 1: 12.196 seconds (Total)
Chain 1:
Chain 2: Iteration: 1500 / 1500 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 5.846 seconds (Warm-up)
Chain 2: 8.383 seconds (Sampling)
Chain 2: 14.229 seconds (Total)
Chain 2:
== testthat results ===========================================================
[ OK: 93 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 0 ]
>
> proc.time()
user system elapsed
18.21 0.76 214.25
|