Last updated on 2019-03-01 08:49:51 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 2.0.4 | 4.26 | 71.11 | 75.37 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 2.0.4 | 3.48 | 53.43 | 56.91 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 2.0.4 | 98.18 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 2.0.4 | 84.52 | ERROR | |||
| r-devel-windows-ix86+x86_64 | 2.0.4 | 6.00 | 84.00 | 90.00 | ERROR | |
| r-patched-linux-x86_64 | 2.0.4 | ERROR | ||||
| r-patched-solaris-x86 | 2.0.4 | 126.60 | ERROR | |||
| r-release-linux-x86_64 | 2.0.4 | 3.10 | 64.88 | 67.98 | ERROR | |
| r-release-windows-ix86+x86_64 | 2.0.4 | 8.00 | 90.00 | 98.00 | ERROR | |
| r-release-osx-x86_64 | 2.0.4 | NOTE | ||||
| r-oldrel-windows-ix86+x86_64 | 2.0.4 | 7.00 | 98.00 | 105.00 | ERROR | |
| r-oldrel-osx-x86_64 | 2.0.4 | NOTE |
Version: 2.0.4
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: ‘hglm’
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64
Version: 2.0.4
Check: contents of ‘data’ directory
Result: WARN
Output for data("data", package = "vqtl"):
No dataset created in 'envir'
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, 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: tests
Result: ERROR
Running ‘testthat.R’ [22s/24s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(vqtl)
>
> test_check("vqtl")
── 1. Error: mean_var_sample_plot (@test-4-plots.R#76) ────────────────────────
could not find function "n"
1: expect_is(object = mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1",
grouping.factor.names = c("sex", "D3M3")), class = "ggplot") at testthat/test-4-plots.R:76
2: quasi_label(enquo(object), label)
3: eval_bare(get_expr(quo), get_env(quo))
4: mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1", grouping.factor.names = c("sex",
"D3M3"))
5: plotting.df %>% dplyr::group_by_(.dots = grouping.factor.names) %>% dplyr::summarise_(mean = lazyeval::interp(~mean(var,
na.rm = TRUE), var = as.name(phenotype.name)), sd = lazyeval::interp(~sd(var,
na.rm = TRUE), var = as.name(phenotype.name)), mean.se = quote(sd/sqrt(n())),
sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1))) %>% stats::na.omit() %>% ggplot2::ggplot(mapping = ggplot2::aes(x = mean,
y = sd))
6: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
7: eval(quote(`_fseq`(`_lhs`)), env, env)
8: eval(quote(`_fseq`(`_lhs`)), env, env)
9: `_fseq`(`_lhs`)
10: freduce(value, `_function_list`)
11: function_list[[i]](value)
12: dplyr::summarise_(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
13: summarise_.tbl_df(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
14: summarise_impl(.data, dots, environment(), caller_env())
══ testthat results ═══════════════════════════════════════════════════════════
OK: 118 SKIPPED: 2 FAILED: 1
1. Error: mean_var_sample_plot (@test-4-plots.R#76)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 2.0.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [16s/23s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(vqtl)
>
> test_check("vqtl")
── 1. Error: mean_var_sample_plot (@test-4-plots.R#76) ────────────────────────
could not find function "n"
1: expect_is(object = mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1",
grouping.factor.names = c("sex", "D3M3")), class = "ggplot") at testthat/test-4-plots.R:76
2: quasi_label(enquo(object), label)
3: eval_bare(get_expr(quo), get_env(quo))
4: mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1", grouping.factor.names = c("sex",
"D3M3"))
5: plotting.df %>% dplyr::group_by_(.dots = grouping.factor.names) %>% dplyr::summarise_(mean = lazyeval::interp(~mean(var,
na.rm = TRUE), var = as.name(phenotype.name)), sd = lazyeval::interp(~sd(var,
na.rm = TRUE), var = as.name(phenotype.name)), mean.se = quote(sd/sqrt(n())),
sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1))) %>% stats::na.omit() %>% ggplot2::ggplot(mapping = ggplot2::aes(x = mean,
y = sd))
6: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
7: eval(quote(`_fseq`(`_lhs`)), env, env)
8: eval(quote(`_fseq`(`_lhs`)), env, env)
9: `_fseq`(`_lhs`)
10: freduce(value, `_function_list`)
11: function_list[[i]](value)
12: dplyr::summarise_(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
13: summarise_.tbl_df(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
14: summarise_impl(.data, dots, environment(), caller_env())
══ testthat results ═══════════════════════════════════════════════════════════
OK: 118 SKIPPED: 2 FAILED: 1
1. Error: mean_var_sample_plot (@test-4-plots.R#76)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 2.0.4
Check: dependencies in R code
Result: NOTE
Namespaces in Imports field not imported from:
‘iterators’ ‘knitr’ ‘purrr’ ‘testthat’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-osx-x86_64, r-oldrel-osx-x86_64
Version: 2.0.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [28s/110s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(vqtl)
>
> test_check("vqtl")
── 1. Error: mean_var_sample_plot (@test-4-plots.R#76) ────────────────────────
could not find function "n"
1: expect_is(object = mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1",
grouping.factor.names = c("sex", "D3M3")), class = "ggplot") at testthat/test-4-plots.R:76
2: quasi_label(enquo(object), label)
3: eval_bare(get_expr(quo), get_env(quo))
4: mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1", grouping.factor.names = c("sex",
"D3M3"))
5: plotting.df %>% dplyr::group_by_(.dots = grouping.factor.names) %>% dplyr::summarise_(mean = lazyeval::interp(~mean(var,
na.rm = TRUE), var = as.name(phenotype.name)), sd = lazyeval::interp(~sd(var,
na.rm = TRUE), var = as.name(phenotype.name)), mean.se = quote(sd/sqrt(n())),
sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1))) %>% stats::na.omit() %>% ggplot2::ggplot(mapping = ggplot2::aes(x = mean,
y = sd))
6: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
7: eval(quote(`_fseq`(`_lhs`)), env, env)
8: eval(quote(`_fseq`(`_lhs`)), env, env)
9: `_fseq`(`_lhs`)
10: freduce(value, `_function_list`)
11: function_list[[i]](value)
12: dplyr::summarise_(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
13: summarise_.tbl_df(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
14: summarise_impl(.data, dots, environment(), caller_env())
══ testthat results ═══════════════════════════════════════════════════════════
OK: 118 SKIPPED: 2 FAILED: 1
1. Error: mean_var_sample_plot (@test-4-plots.R#76)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 2.0.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [25s/29s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(vqtl)
>
> test_check("vqtl")
── 1. Error: mean_var_sample_plot (@test-4-plots.R#76) ────────────────────────
could not find function "n"
1: expect_is(object = mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1",
grouping.factor.names = c("sex", "D3M3")), class = "ggplot") at testthat/test-4-plots.R:76
2: quasi_label(enquo(object), label)
3: eval_bare(get_expr(quo), get_env(quo))
4: mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1", grouping.factor.names = c("sex",
"D3M3"))
5: plotting.df %>% dplyr::group_by_(.dots = grouping.factor.names) %>% dplyr::summarise_(mean = lazyeval::interp(~mean(var,
na.rm = TRUE), var = as.name(phenotype.name)), sd = lazyeval::interp(~sd(var,
na.rm = TRUE), var = as.name(phenotype.name)), mean.se = quote(sd/sqrt(n())),
sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1))) %>% stats::na.omit() %>% ggplot2::ggplot(mapping = ggplot2::aes(x = mean,
y = sd))
6: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
7: eval(quote(`_fseq`(`_lhs`)), env, env)
8: eval(quote(`_fseq`(`_lhs`)), env, env)
9: `_fseq`(`_lhs`)
10: freduce(value, `_function_list`)
11: function_list[[i]](value)
12: dplyr::summarise_(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
13: summarise_.tbl_df(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
14: summarise_impl(.data, dots, environment(), caller_env())
══ testthat results ═══════════════════════════════════════════════════════════
OK: 118 SKIPPED: 2 FAILED: 1
1. Error: mean_var_sample_plot (@test-4-plots.R#76)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 2.0.4
Check: tests
Result: ERROR
Running 'testthat.R' [26s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(vqtl)
>
> test_check("vqtl")
-- 1. Error: mean_var_sample_plot (@test-4-plots.R#76) ------------------------
could not find function "n"
1: expect_is(object = mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1",
grouping.factor.names = c("sex", "D3M3")), class = "ggplot") at testthat/test-4-plots.R:76
2: quasi_label(enquo(object), label)
3: eval_bare(get_expr(quo), get_env(quo))
4: mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1", grouping.factor.names = c("sex",
"D3M3"))
5: plotting.df %>% dplyr::group_by_(.dots = grouping.factor.names) %>% dplyr::summarise_(mean = lazyeval::interp(~mean(var,
na.rm = TRUE), var = as.name(phenotype.name)), sd = lazyeval::interp(~sd(var,
na.rm = TRUE), var = as.name(phenotype.name)), mean.se = quote(sd/sqrt(n())),
sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1))) %>% stats::na.omit() %>% ggplot2::ggplot(mapping = ggplot2::aes(x = mean,
y = sd))
6: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
7: eval(quote(`_fseq`(`_lhs`)), env, env)
8: eval(quote(`_fseq`(`_lhs`)), env, env)
9: `_fseq`(`_lhs`)
10: freduce(value, `_function_list`)
11: function_list[[i]](value)
12: dplyr::summarise_(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
13: summarise_.tbl_df(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
14: summarise_impl(.data, dots, environment(), caller_env())
== testthat results ===========================================================
OK: 118 SKIPPED: 2 FAILED: 1
1. Error: mean_var_sample_plot (@test-4-plots.R#76)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-windows-ix86+x86_64
Version: 2.0.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [21s/24s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(vqtl)
>
> test_check("vqtl")
── 1. Error: mean_var_sample_plot (@test-4-plots.R#76) ────────────────────────
could not find function "n"
1: expect_is(object = mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1",
grouping.factor.names = c("sex", "D3M3")), class = "ggplot") at testthat/test-4-plots.R:76
2: quasi_label(enquo(object), label)
3: eval_bare(get_expr(quo), get_env(quo))
4: mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1", grouping.factor.names = c("sex",
"D3M3"))
5: plotting.df %>% dplyr::group_by_(.dots = grouping.factor.names) %>% dplyr::summarise_(mean = lazyeval::interp(~mean(var,
na.rm = TRUE), var = as.name(phenotype.name)), sd = lazyeval::interp(~sd(var,
na.rm = TRUE), var = as.name(phenotype.name)), mean.se = quote(sd/sqrt(n())),
sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1))) %>% stats::na.omit() %>% ggplot2::ggplot(mapping = ggplot2::aes(x = mean,
y = sd))
6: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
7: eval(quote(`_fseq`(`_lhs`)), env, env)
8: eval(quote(`_fseq`(`_lhs`)), env, env)
9: `_fseq`(`_lhs`)
10: freduce(value, `_function_list`)
11: function_list[[i]](value)
12: dplyr::summarise_(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
13: summarise_.tbl_df(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
14: summarise_impl(.data, dots, environment(), caller_env())
══ testthat results ═══════════════════════════════════════════════════════════
OK: 118 SKIPPED: 2 FAILED: 1
1. Error: mean_var_sample_plot (@test-4-plots.R#76)
Error: testthat unit tests failed
Execution halted
Flavor: r-patched-linux-x86_64
Version: 2.0.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [37s/41s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(vqtl)
>
> test_check("vqtl")
── 1. Error: mean_var_sample_plot (@test-4-plots.R#76) ────────────────────────
could not find function "n"
1: expect_is(object = mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1",
grouping.factor.names = c("sex", "D3M3")), class = "ggplot") at testthat/test-4-plots.R:76
2: quasi_label(enquo(object), label)
3: eval_bare(get_expr(quo), get_env(quo))
4: mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1", grouping.factor.names = c("sex",
"D3M3"))
5: plotting.df %>% dplyr::group_by_(.dots = grouping.factor.names) %>% dplyr::summarise_(mean = lazyeval::interp(~mean(var,
na.rm = TRUE), var = as.name(phenotype.name)), sd = lazyeval::interp(~sd(var,
na.rm = TRUE), var = as.name(phenotype.name)), mean.se = quote(sd/sqrt(n())),
sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1))) %>% stats::na.omit() %>% ggplot2::ggplot(mapping = ggplot2::aes(x = mean,
y = sd))
6: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
7: eval(quote(`_fseq`(`_lhs`)), env, env)
8: eval(quote(`_fseq`(`_lhs`)), env, env)
9: `_fseq`(`_lhs`)
10: freduce(value, `_function_list`)
11: function_list[[i]](value)
12: dplyr::summarise_(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
13: summarise_.tbl_df(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
14: summarise_impl(.data, dots, environment(), caller_env())
══ testthat results ═══════════════════════════════════════════════════════════
OK: 118 SKIPPED: 2 FAILED: 1
1. Error: mean_var_sample_plot (@test-4-plots.R#76)
Error: testthat unit tests failed
Execution halted
Flavor: r-patched-solaris-x86
Version: 2.0.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [20s/22s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(vqtl)
>
> test_check("vqtl")
── 1. Error: mean_var_sample_plot (@test-4-plots.R#76) ────────────────────────
could not find function "n"
1: expect_is(object = mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1",
grouping.factor.names = c("sex", "D3M3")), class = "ggplot") at testthat/test-4-plots.R:76
2: quasi_label(enquo(object), label)
3: eval_bare(get_expr(quo), get_env(quo))
4: mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1", grouping.factor.names = c("sex",
"D3M3"))
5: plotting.df %>% dplyr::group_by_(.dots = grouping.factor.names) %>% dplyr::summarise_(mean = lazyeval::interp(~mean(var,
na.rm = TRUE), var = as.name(phenotype.name)), sd = lazyeval::interp(~sd(var,
na.rm = TRUE), var = as.name(phenotype.name)), mean.se = quote(sd/sqrt(n())),
sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1))) %>% stats::na.omit() %>% ggplot2::ggplot(mapping = ggplot2::aes(x = mean,
y = sd))
6: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
7: eval(quote(`_fseq`(`_lhs`)), env, env)
8: eval(quote(`_fseq`(`_lhs`)), env, env)
9: `_fseq`(`_lhs`)
10: freduce(value, `_function_list`)
11: function_list[[i]](value)
12: dplyr::summarise_(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
13: summarise_.tbl_df(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
14: summarise_impl(.data, dots, environment(), caller_env())
══ testthat results ═══════════════════════════════════════════════════════════
OK: 118 SKIPPED: 2 FAILED: 1
1. Error: mean_var_sample_plot (@test-4-plots.R#76)
Error: testthat unit tests failed
Execution halted
Flavor: r-release-linux-x86_64
Version: 2.0.4
Check: tests
Result: ERROR
Running 'testthat.R' [29s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(vqtl)
>
> test_check("vqtl")
-- 1. Error: mean_var_sample_plot (@test-4-plots.R#76) ------------------------
could not find function "n"
1: expect_is(object = mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1",
grouping.factor.names = c("sex", "D3M3")), class = "ggplot") at testthat/test-4-plots.R:76
2: quasi_label(enquo(object), label)
3: eval_bare(get_expr(quo), get_env(quo))
4: mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1", grouping.factor.names = c("sex",
"D3M3"))
5: plotting.df %>% dplyr::group_by_(.dots = grouping.factor.names) %>% dplyr::summarise_(mean = lazyeval::interp(~mean(var,
na.rm = TRUE), var = as.name(phenotype.name)), sd = lazyeval::interp(~sd(var,
na.rm = TRUE), var = as.name(phenotype.name)), mean.se = quote(sd/sqrt(n())),
sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1))) %>% stats::na.omit() %>% ggplot2::ggplot(mapping = ggplot2::aes(x = mean,
y = sd))
6: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
7: eval(quote(`_fseq`(`_lhs`)), env, env)
8: eval(quote(`_fseq`(`_lhs`)), env, env)
9: `_fseq`(`_lhs`)
10: freduce(value, `_function_list`)
11: function_list[[i]](value)
12: dplyr::summarise_(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
13: summarise_.tbl_df(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
14: summarise_impl(.data, dots, environment(), caller_env())
== testthat results ===========================================================
OK: 118 SKIPPED: 2 FAILED: 1
1. Error: mean_var_sample_plot (@test-4-plots.R#76)
Error: testthat unit tests failed
Execution halted
Flavor: r-release-windows-ix86+x86_64
Version: 2.0.4
Check: tests
Result: ERROR
Running 'testthat.R' [31s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(vqtl)
>
> test_check("vqtl")
-- 1. Error: mean_var_sample_plot (@test-4-plots.R#76) ------------------------
Evaluation error: could not find function "n".
1: expect_is(object = mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1",
grouping.factor.names = c("sex", "D3M3")), class = "ggplot") at testthat/test-4-plots.R:76
2: quasi_label(enquo(object), label)
3: eval_bare(get_expr(quo), get_env(quo))
4: mean_var_plot_model_free(cross = test.cross, phenotype.name = "phenotype1", grouping.factor.names = c("sex",
"D3M3"))
5: plotting.df %>% dplyr::group_by_(.dots = grouping.factor.names) %>% dplyr::summarise_(mean = lazyeval::interp(~mean(var,
na.rm = TRUE), var = as.name(phenotype.name)), sd = lazyeval::interp(~sd(var,
na.rm = TRUE), var = as.name(phenotype.name)), mean.se = quote(sd/sqrt(n())),
sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1))) %>% stats::na.omit() %>% ggplot2::ggplot(mapping = ggplot2::aes(x = mean,
y = sd))
6: withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
7: eval(quote(`_fseq`(`_lhs`)), env, env)
8: eval(quote(`_fseq`(`_lhs`)), env, env)
9: `_fseq`(`_lhs`)
10: freduce(value, `_function_list`)
11: function_list[[i]](value)
12: dplyr::summarise_(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
13: summarise_.tbl_df(., mean = lazyeval::interp(~mean(var, na.rm = TRUE), var = as.name(phenotype.name)),
sd = lazyeval::interp(~sd(var, na.rm = TRUE), var = as.name(phenotype.name)),
mean.se = quote(sd/sqrt(n())), sd.se = quote(sqrt(2) * sd^2/sqrt(n() - 1)))
14: summarise_impl(.data, dots, environment(), caller_env())
== testthat results ===========================================================
OK: 118 SKIPPED: 2 FAILED: 1
1. Error: mean_var_sample_plot (@test-4-plots.R#76)
Error: testthat unit tests failed
Execution halted
Flavor: r-oldrel-windows-ix86+x86_64