CRAN Package Check Results for Package vqtl

Last updated on 2019-02-16 18:46:43 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.0.4 4.99 70.35 75.34 ERROR
r-devel-linux-x86_64-debian-gcc 2.0.4 3.52 53.79 57.31 ERROR
r-devel-linux-x86_64-fedora-clang 2.0.4 91.60 ERROR
r-devel-linux-x86_64-fedora-gcc 2.0.4 91.41 ERROR
r-devel-windows-ix86+x86_64 2.0.4 11.00 150.00 161.00 OK
r-patched-linux-x86_64 2.0.4 2.86 65.69 68.55 ERROR
r-patched-solaris-x86 2.0.4 112.60 ERROR
r-release-linux-x86_64 2.0.4 ERROR
r-release-windows-ix86+x86_64 2.0.4 5.00 127.00 132.00 OK
r-release-osx-x86_64 2.0.4 NOTE
r-oldrel-windows-ix86+x86_64 2.0.4 12.00 146.00 158.00 OK
r-oldrel-osx-x86_64 2.0.4 NOTE

Check Details

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: 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: contents of ‘data’ directory
Result: WARN
    Output for data("data"):
     no dataset created
Flavor: r-devel-linux-x86_64-debian-gcc

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: contents of ‘data’ directory
Result: WARN
    Output for data("data"):
     No dataset created in 'envir'
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 2.0.4
Check: tests
Result: ERROR
     Running ‘testthat.R’ [26s/30s]
    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’ [28s/84s]
    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’ [21s/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-patched-linux-x86_64

Version: 2.0.4
Check: tests
Result: ERROR
     Running ‘testthat.R’ [32s/32s]
    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