Last updated on 2020-02-15 01:01:43 CET.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 2.0.1 | 14.69 | 271.78 | 286.47 | OK | |
r-devel-linux-x86_64-debian-gcc | 2.0.1 | 11.39 | 203.53 | 214.92 | OK | |
r-devel-linux-x86_64-fedora-clang | 2.0.1 | 331.91 | OK | |||
r-devel-linux-x86_64-fedora-gcc | 2.0.1 | 287.03 | OK | |||
r-devel-windows-ix86+x86_64 | 2.0.1 | 28.00 | 298.00 | 326.00 | OK | |
r-devel-windows-ix86+x86_64-gcc8 | 1.1.0 | 29.00 | 233.00 | 262.00 | ERROR | |
r-patched-linux-x86_64 | 2.0.1 | 11.97 | 237.66 | 249.63 | OK | |
r-patched-solaris-x86 | 2.0.1 | 416.40 | NOTE | |||
r-release-linux-x86_64 | 2.0.1 | 12.08 | 236.67 | 248.75 | OK | |
r-release-windows-ix86+x86_64 | 2.0.1 | 20.00 | 290.00 | 310.00 | OK | |
r-release-osx-x86_64 | 2.0.1 | OK | ||||
r-oldrel-windows-ix86+x86_64 | 2.0.1 | 16.00 | 267.00 | 283.00 | ERROR | |
r-oldrel-osx-x86_64 | 2.0.1 | ERROR |
Version: 1.1.0
Check: tests
Result: ERROR
Running 'testthat.R' [109s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> # This is necessary because some tests fail otherwise; see https://github.com/hadley/testthat/issues/144
> Sys.setenv("R_TESTS" = "")
>
> library(testthat)
> library(tidybayes)
>
> test_check("tidybayes")
-- 1. Failure: [add_]predicted_draws works on brms models with categorical outco
predicted_draws(m_cyl_mpg, mtcars_tbl, seed = 1234, n = 100) not equal to `ref`.
Incompatible type for column `.prediction`: x numeric, y factor
-- 2. Failure: [add_]predicted_draws works on brms models with categorical outco
add_predicted_draws(mtcars_tbl, m_cyl_mpg, seed = 1234, n = 100) not equal to `ref`.
Incompatible type for column `.prediction`: x numeric, y factor
== testthat results ===========================================================
[ OK: 271 | SKIPPED: 41 | WARNINGS: 38 | FAILED: 2 ]
1. Failure: [add_]predicted_draws works on brms models with categorical outcomes (@test.predicted_draws.R#126)
2. Failure: [add_]predicted_draws works on brms models with categorical outcomes (@test.predicted_draws.R#127)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-windows-ix86+x86_64-gcc8
Version: 2.0.1
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: ‘gifski’
Flavor: r-patched-solaris-x86
Version: 2.0.1
Check: installed package size
Result: NOTE
installed size is 5.4Mb
sub-directories of 1Mb or more:
doc 4.0Mb
Flavor: r-patched-solaris-x86
Version: 2.0.1
Check: R code for possible problems
Result: NOTE
parse_dist.character : <anonymous>: no visible global function
definition for 'str2lang'
Undefined global functions or variables:
str2lang
Flavors: r-oldrel-windows-ix86+x86_64, r-oldrel-osx-x86_64
Version: 2.0.1
Check: examples
Result: ERROR
Running examples in 'tidybayes-Ex.R' failed
The error most likely occurred in:
> ### Name: lkjcorr_marginal
> ### Title: Marginal distribution of a single correlation from an LKJ
> ### distribution
> ### Aliases: lkjcorr_marginal dlkjcorr_marginal plkjcorr_marginal
> ### qlkjcorr_marginal rlkjcorr_marginal
>
> ### ** Examples
>
>
> library(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
> library(ggplot2)
>
> data.frame(prior = "lkjcorr_marginal(2, 3)") %>%
+ parse_dist(prior) %>%
+ ggplot(aes(y = prior, dist = .dist, args = .args)) +
+ stat_dist_halfeyeh() +
+ xlim(-1, 1) +
+ xlab("Marginal correlation for LKJ(3) prior on 2x2 correlation matrix")
Error: Discrete value supplied to continuous scale
Execution halted
Flavors: r-oldrel-windows-ix86+x86_64, r-oldrel-osx-x86_64
Version: 2.0.1
Check: tests
Result: ERROR
Running 'testthat.R' [163s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> # This is necessary because some tests fail otherwise; see https://github.com/hadley/testthat/issues/144
> Sys.setenv("R_TESTS" = "")
>
> library(testthat)
> library(tidybayes)
>
> test_check("tidybayes")
-- 1. Failure: geom aesthetic documention generator works (@test.geom.R#11) ---
as.data.frame(...) not equal to as.data.frame(...).
Component ".dist": Modes: logical, character
Component ".dist": target is logical, current is character
Component ".args": Component 1: Modes: logical, list
Component ".args": Component 1: Lengths: 1, 2
Component ".args": Component 1: target is logical, current is list
Component ".args": Component 2: Modes: logical, list
Component ".args": Component 2: Lengths: 1, 2
Component ".args": Component 2: target is logical, current is list
Component ".args": Component 3: Modes: logical, list
...
-- 2. Failure: parse_dist works on vectors (@test.parse_dist.R#13) ------------
as.data.frame(...) not equal to as.data.frame(...).
Component ".dist": Modes: logical, character
Component ".dist": target is logical, current is character
Component ".args": Component 1: Modes: logical, list
Component ".args": Component 1: Lengths: 1, 2
Component ".args": Component 1: target is logical, current is list
Component ".args": Component 2: Modes: logical, list
Component ".args": Component 2: Lengths: 1, 2
Component ".args": Component 2: target is logical, current is list
Component ".args": Component 3: Modes: logical, list
...
-- 3. Failure: parse_dist works on data frames (@test.parse_dist.R#23) --------
parse_dist(data.frame(p = dists), p) not equal to as.data.frame(...).
Component ".dist": Modes: logical, character
Component ".dist": target is logical, current is character
Component ".args": Component 1: Modes: logical, list
Component ".args": Component 1: Lengths: 1, 2
Component ".args": Component 1: target is logical, current is list
Component ".args": Component 2: Modes: logical, list
Component ".args": Component 2: Lengths: 1, 2
Component ".args": Component 2: target is logical, current is list
Component ".args": Component 3: Modes: logical, list
...
-- 4. Error: parse_dist + marginalize_lkjcorr produces correct results (@test.pa
Discrete value supplied to continuous scale
Backtrace:
1. vdiffr::expect_doppelganger(...)
2. vdiffr:::writer(fig, testcase, title)
4. vdiffr:::print_plot.ggplot(plot, title)
6. ggplot2:::print.ggplot(p)
8. ggplot2:::ggplot_build.ggplot(x)
9. layout$train_position(data, scale_x(), scale_y())
10. ggplot2:::f(..., self = self)
11. self$facet$train_scales(...)
12. ggplot2:::f(...)
13. ggplot2:::scale_apply(layer_data, x_vars, "train", SCALE_X, x_scales)
14. base::lapply(...)
15. ggplot2:::FUN(X[[i]], ...)
16. base::lapply(...)
17. ggplot2:::FUN(X[[i]], ...)
18. scales[[i]][[method]](data[[var]][scale_index[[i]]])
19. ggplot2:::f(..., self = self)
20. self$range$train(x)
21. ggplot2:::f(..., self = self)
22. scales::train_continuous(x, self$range)
== testthat results ===========================================================
[ OK: 329 | SKIPPED: 124 | WARNINGS: 0 | FAILED: 4 ]
1. Failure: geom aesthetic documention generator works (@test.geom.R#11)
2. Failure: parse_dist works on vectors (@test.parse_dist.R#13)
3. Failure: parse_dist works on data frames (@test.parse_dist.R#23)
4. Error: parse_dist + marginalize_lkjcorr produces correct results (@test.parse_dist.R#33)
Error: testthat unit tests failed
Execution halted
Flavor: r-oldrel-windows-ix86+x86_64
Version: 2.0.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [116s/117s]
Running the tests in ‘tests/testthat.R’ failed.
Last 13 lines of output:
18. scales[[i]][[method]](data[[var]][scale_index[[i]]])
19. ggplot2:::f(..., self = self)
20. self$range$train(x)
21. ggplot2:::f(..., self = self)
22. scales::train_continuous(x, self$range)
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 329 | SKIPPED: 124 | WARNINGS: 0 | FAILED: 4 ]
1. Failure: geom aesthetic documention generator works (@test.geom.R#11)
2. Failure: parse_dist works on vectors (@test.parse_dist.R#13)
3. Failure: parse_dist works on data frames (@test.parse_dist.R#23)
4. Error: parse_dist + marginalize_lkjcorr produces correct results (@test.parse_dist.R#33)
Error: testthat unit tests failed
Execution halted
Flavor: r-oldrel-osx-x86_64