CRAN Package Check Results for Package Sleuth2

Last updated on 2019-01-19 00:46:44 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.0-4 3.60 230.11 233.71 WARN
r-devel-linux-x86_64-debian-gcc 2.0-4 2.69 173.81 176.50 WARN
r-devel-linux-x86_64-fedora-clang 2.0-4 303.01 WARN
r-devel-linux-x86_64-fedora-gcc 2.0-4 275.19 WARN
r-devel-windows-ix86+x86_64 2.0-4 28.00 403.00 431.00 WARN
r-patched-linux-x86_64 2.0-4 2.59 177.42 180.01 OK
r-patched-solaris-x86 2.0-4 283.10 OK
r-release-linux-x86_64 2.0-4 3.01 177.47 180.48 OK
r-release-windows-ix86+x86_64 2.0-4 13.00 358.00 371.00 OK
r-release-osx-x86_64 2.0-4 OK
r-oldrel-windows-ix86+x86_64 2.0-4 16.00 346.00 362.00 OK
r-oldrel-osx-x86_64 2.0-4 WARN

Check Details

Version: 2.0-4
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘chapter01-HortonMosaic.Rnw’ using knitr
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    Loading required package: Sleuth2
    --- finished re-building ‘chapter01-HortonMosaic.Rnw’
    
    --- re-building ‘chapter02-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter02-HortonMosaic.Rnw’
    
    --- re-building ‘chapter03-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter03-HortonMosaic.Rnw’
    
    --- re-building ‘chapter04-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    Warning in wilcox.test.default(x = c(68, 70, 73, 75, 77, 80, 80, 132, 148, :
     cannot compute exact p-value with ties
    Warning in wilcox.test.default(x = c(68, 70, 73, 75, 77, 80, 80, 132, 148, :
     cannot compute exact confidence intervals with ties
    Warning in wilcox.test.default(x = c(68, 70, 73, 75, 77, 80, 80, 132, 148, :
     cannot compute exact p-value with ties
    Warning in wilcox.test.default(x = c(68, 70, 73, 75, 77, 80, 80, 132, 148, :
     cannot compute exact confidence intervals with ties
    Warning in wilcox.test.default(x = c(68, 70, 73, 75, 77, 80, 80, 132, 148, :
     cannot compute exact p-value with ties
    Warning in wilcox.test.default(x = c(68, 70, 73, 75, 77, 80, 80, 132, 148, :
     cannot compute exact confidence intervals with ties
    --- finished re-building ‘chapter04-HortonMosaic.Rnw’
    
    --- re-building ‘chapter05-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter05-HortonMosaic.Rnw’
    
    --- re-building ‘chapter06-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter06-HortonMosaic.Rnw’
    
    --- re-building ‘chapter07-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter07-HortonMosaic.Rnw’
    
    --- re-building ‘chapter08-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter08-HortonMosaic.Rnw’
    
    --- re-building ‘chapter09-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter09-HortonMosaic.Rnw’
    
    --- re-building ‘chapter10-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter10-HortonMosaic.Rnw’
    
    --- re-building ‘chapter11-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    Loading required package: MASS
    
    Attaching package: 'MASS'
    
    The following object is masked from 'package:dplyr':
    
     select
    
    --- finished re-building ‘chapter11-HortonMosaic.Rnw’
    
    --- re-building ‘chapter12-HortonMosaic.Rnw’ using knitr
    Loading required package: car
    Loading required package: carData
    
    Attaching package: 'car'
    
    The following objects are masked from 'package:mosaic':
    
     deltaMethod, logit
    
    The following object is masked from 'package:dplyr':
    
     recode
    
    Quitting from lines 274-282 (chapter12-HortonMosaic.Rnw)
    Error: processing vignette 'chapter12-HortonMosaic.Rnw' failed with diagnostics:
    could not find function "stepAIC"
    --- failed re-building ‘chapter12-HortonMosaic.Rnw’
    
    --- re-building ‘chapter13-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter13-HortonMosaic.Rnw’
    
    SUMMARY: processing the following file failed:
     ‘chapter12-HortonMosaic.Rnw’
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 2.0-4
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building ‘chapter01-HortonMosaic.Rnw’ using knitr
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    Loading required package: Sleuth2
    --- finished re-building ‘chapter01-HortonMosaic.Rnw’
    
    --- re-building ‘chapter02-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter02-HortonMosaic.Rnw’
    
    --- re-building ‘chapter03-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter03-HortonMosaic.Rnw’
    
    --- re-building ‘chapter04-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    Warning in wilcox.test.default(x = c(68, 70, 73, 75, 77, 80, 80, 132, 148, :
     cannot compute exact p-value with ties
    Warning in wilcox.test.default(x = c(68, 70, 73, 75, 77, 80, 80, 132, 148, :
     cannot compute exact confidence intervals with ties
    Warning in wilcox.test.default(x = c(68, 70, 73, 75, 77, 80, 80, 132, 148, :
     cannot compute exact p-value with ties
    Warning in wilcox.test.default(x = c(68, 70, 73, 75, 77, 80, 80, 132, 148, :
     cannot compute exact confidence intervals with ties
    Warning in wilcox.test.default(x = c(68, 70, 73, 75, 77, 80, 80, 132, 148, :
     cannot compute exact p-value with ties
    Warning in wilcox.test.default(x = c(68, 70, 73, 75, 77, 80, 80, 132, 148, :
     cannot compute exact confidence intervals with ties
    --- finished re-building ‘chapter04-HortonMosaic.Rnw’
    
    --- re-building ‘chapter05-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter05-HortonMosaic.Rnw’
    
    --- re-building ‘chapter06-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter06-HortonMosaic.Rnw’
    
    --- re-building ‘chapter07-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter07-HortonMosaic.Rnw’
    
    --- re-building ‘chapter08-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter08-HortonMosaic.Rnw’
    
    --- re-building ‘chapter09-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter09-HortonMosaic.Rnw’
    
    --- re-building ‘chapter10-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter10-HortonMosaic.Rnw’
    
    --- re-building ‘chapter11-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    Loading required package: MASS
    
    Attaching package: 'MASS'
    
    The following object is masked from 'package:dplyr':
    
     select
    
    --- finished re-building ‘chapter11-HortonMosaic.Rnw’
    
    --- re-building ‘chapter12-HortonMosaic.Rnw’ using knitr
    Loading required package: car
    Loading required package: carData
    
    Attaching package: 'car'
    
    The following objects are masked from 'package:mosaic':
    
     deltaMethod, logit
    
    The following object is masked from 'package:dplyr':
    
     recode
    
    Quitting from lines 274-282 (chapter12-HortonMosaic.Rnw)
    Error: processing vignette 'chapter12-HortonMosaic.Rnw' failed with diagnostics:
    could not find function "stepAIC"
    --- failed re-building ‘chapter12-HortonMosaic.Rnw’
    
    --- re-building ‘chapter13-HortonMosaic.Rnw’ using knitr
    Loading required package: Sleuth2
    Loading required package: mosaic
    Loading required package: dplyr
    
    Attaching package: 'dplyr'
    
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Loading required package: lattice
    Loading required package: ggformula
    Loading required package: ggplot2
    Loading required package: ggstance
    
    Attaching package: 'ggstance'
    
    The following objects are masked from 'package:ggplot2':
    
     GeomErrorbarh, geom_errorbarh
    
    
    New to ggformula? Try the tutorials:
     learnr::run_tutorial("introduction", package = "ggformula")
     learnr::run_tutorial("refining", package = "ggformula")
    Loading required package: mosaicData
    Loading required package: Matrix
    
    The 'mosaic' package masks several functions from core packages in order to add
    additional features. The original behavior of these functions should not be affected by this.
    
    Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
    
    Attaching package: 'mosaic'
    
    The following object is masked from 'package:Matrix':
    
     mean
    
    The following object is masked from 'package:ggplot2':
    
     stat
    
    The following objects are masked from 'package:dplyr':
    
     count, do, tally
    
    The following objects are masked from 'package:stats':
    
     IQR, binom.test, cor, cor.test, cov, fivenum, median,
     prop.test, quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    --- finished re-building ‘chapter13-HortonMosaic.Rnw’
    
    SUMMARY: processing the following file failed:
     ‘chapter12-HortonMosaic.Rnw’
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64

Version: 2.0-4
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    
     D, IQR, binom.test, cor, cov, fivenum, median, prop.test,
     quantile, sd, t.test, var
    
    The following objects are masked from 'package:base':
    
     max, mean, min, prod, range, sample, sum
    
    Loading required package: Sleuth2
    Error in texi2dvi(file = file, pdf = TRUE, clean = clean, quiet = quiet, :
     Running 'texi2dvi' on 'chapter01-HortonMosaic.tex' failed.
    LaTeX errors:
    ! LaTeX Error: File `xstring.sty' not found.
    
    Type X to quit or <RETURN> to proceed,
    or enter new name. (Default extension: sty)
    
    ! Emergency stop.
    <read *>
    
    l.4 \RequirePackage
     {xcolor}^^M
    ! ==> Fatal error occurred, no output PDF file produced!
    Calls: buildVignettes -> texi2pdf -> texi2dvi
    Execution halted
Flavor: r-oldrel-osx-x86_64