CRAN Package Check Results for Package erplots

Last updated on 2026-10-01 13:52:01 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.2 5.65 202.74 208.39 OK
r-devel-linux-x86_64-debian-gcc 0.1.2 3.87 136.51 140.38 ERROR
r-devel-linux-x86_64-fedora-clang 0.1.2 135.05 ERROR
r-devel-linux-x86_64-fedora-gcc 0.1.2 125.98 ERROR
r-devel-windows-x86_64 0.1.2 8.00 201.00 209.00 OK
r-patched-linux-x86_64 0.1.2 5.56 189.41 194.97 ERROR
r-release-linux-x86_64 0.1.2 4.93 191.52 196.45 OK
r-release-macos-arm64 0.1.2 1.00 48.00 49.00 OK
r-release-macos-x86_64 0.1.2 4.00 191.00 195.00 OK
r-release-windows-x86_64 0.1.2 9.00 191.00 200.00 OK
r-oldrel-macos-arm64 0.1.2 1.00 52.00 53.00 OK
r-oldrel-macos-x86_64 0.1.2 4.00 198.00 202.00 OK
r-oldrel-windows-x86_64 0.1.2 11.00 254.00 265.00 OK

Additional issues

M1mac

Check Details

Version: 0.1.2
Check: tests
Result: ERROR Running ‘spelling.R’ [0s/0s] Running ‘testthat.R’ [56s/65s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(erplots) > > test_check("erplots") `er_style_data_hex()` does not encode `strata` -- its fill aesthetic already encodes point density, so all strata are pooled into a single hex-binned density. `stat_bin()` using `bins = 30`. Pick better value `binwidth`. `stat_bin()` using `bins = 30`. Pick better value `binwidth`. <er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: <none> output built: no<er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: - observed: layer built output built: no<er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: - observed: layer built - simulated: 1500 simulated rows output built: no<er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: - observed: layer built - simulated: 1500 simulated rows output built: yes`stratify_by` (`weight`) is numeric; splitting into 3 quantile bins for faceting. Pass a categorical variable to `stratify_by`, or set `n_strata` to change the bin count. Saving _problems/test-toy-model-sync-18.R Saving _problems/test-toy-model-sync-19.R Saving _problems/test-toy-model-sync-20.R Saving _problems/test-toy-model-sync-32.R Saving _problems/test-toy-model-sync-33.R Saving _problems/test-toy-model-sync-34.R Saving _problems/test-toy-model-sync-50.R Saving _problems/test-toy-model-sync-54.R Saving _problems/test-toy-model-sync-70.R Saving _problems/test-toy-model-sync-74.R [ FAIL 10 | WARN 0 | SKIP 0 | PASS 1176 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-toy-model-sync.R:18:3'): er_predict() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `p_toy$fit_resp` to equal `p_glm$fit_resp`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:19:3'): er_predict() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `p_toy$ci_lower` to equal `p_glm$ci_lower`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:20:3'): er_predict() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `p_toy$ci_upper` to equal `p_glm$ci_upper`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:32:3'): er_predict() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `p_toy$fit_resp` to equal `p_glm$fit_resp`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:33:3'): er_predict() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `p_toy$ci_lower` to equal `p_glm$ci_lower`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:34:3'): er_predict() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `p_toy$ci_upper` to equal `p_glm$ci_upper`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:47:3'): er_summary() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" ── Failure ('test-toy-model-sync.R:51:3'): er_summary() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" ── Failure ('test-toy-model-sync.R:67:3'): er_summary() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" ── Failure ('test-toy-model-sync.R:71:3'): er_summary() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" [ FAIL 10 | WARN 0 | SKIP 0 | PASS 1176 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.1.2
Check: tests
Result: ERROR Running ‘spelling.R’ Running ‘testthat.R’ [56s/60s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(erplots) > > test_check("erplots") `er_style_data_hex()` does not encode `strata` -- its fill aesthetic already encodes point density, so all strata are pooled into a single hex-binned density. `stat_bin()` using `bins = 30`. Pick better value `binwidth`. `stat_bin()` using `bins = 30`. Pick better value `binwidth`. <er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: <none> output built: no<er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: - observed: layer built output built: no<er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: - observed: layer built - simulated: 1500 simulated rows output built: no<er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: - observed: layer built - simulated: 1500 simulated rows output built: yes`stratify_by` (`weight`) is numeric; splitting into 3 quantile bins for faceting. Pass a categorical variable to `stratify_by`, or set `n_strata` to change the bin count. Saving _problems/test-toy-model-sync-18.R Saving _problems/test-toy-model-sync-19.R Saving _problems/test-toy-model-sync-20.R Saving _problems/test-toy-model-sync-32.R Saving _problems/test-toy-model-sync-33.R Saving _problems/test-toy-model-sync-34.R Saving _problems/test-toy-model-sync-50.R Saving _problems/test-toy-model-sync-54.R Saving _problems/test-toy-model-sync-70.R Saving _problems/test-toy-model-sync-74.R [ FAIL 10 | WARN 0 | SKIP 0 | PASS 1176 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-toy-model-sync.R:18:3'): er_predict() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `p_toy$fit_resp` to equal `p_glm$fit_resp`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:19:3'): er_predict() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `p_toy$ci_lower` to equal `p_glm$ci_lower`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:20:3'): er_predict() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `p_toy$ci_upper` to equal `p_glm$ci_upper`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:32:3'): er_predict() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `p_toy$fit_resp` to equal `p_glm$fit_resp`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:33:3'): er_predict() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `p_toy$ci_lower` to equal `p_glm$ci_lower`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:34:3'): er_predict() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `p_toy$ci_upper` to equal `p_glm$ci_upper`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:47:3'): er_summary() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" ── Failure ('test-toy-model-sync.R:51:3'): er_summary() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" ── Failure ('test-toy-model-sync.R:67:3'): er_summary() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" ── Failure ('test-toy-model-sync.R:71:3'): er_summary() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" [ FAIL 10 | WARN 0 | SKIP 0 | PASS 1176 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.1.2
Check: tests
Result: ERROR Running ‘spelling.R’ Running ‘testthat.R’ [50s/50s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(erplots) > > test_check("erplots") `er_style_data_hex()` does not encode `strata` -- its fill aesthetic already encodes point density, so all strata are pooled into a single hex-binned density. `stat_bin()` using `bins = 30`. Pick better value `binwidth`. `stat_bin()` using `bins = 30`. Pick better value `binwidth`. <er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: <none> output built: no<er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: - observed: layer built output built: no<er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: - observed: layer built - simulated: 1500 simulated rows output built: no<er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: - observed: layer built - simulated: 1500 simulated rows output built: yes`stratify_by` (`weight`) is numeric; splitting into 3 quantile bins for faceting. Pass a categorical variable to `stratify_by`, or set `n_strata` to change the bin count. Saving _problems/test-toy-model-sync-18.R Saving _problems/test-toy-model-sync-19.R Saving _problems/test-toy-model-sync-20.R Saving _problems/test-toy-model-sync-32.R Saving _problems/test-toy-model-sync-33.R Saving _problems/test-toy-model-sync-34.R Saving _problems/test-toy-model-sync-50.R Saving _problems/test-toy-model-sync-54.R Saving _problems/test-toy-model-sync-70.R Saving _problems/test-toy-model-sync-74.R [ FAIL 10 | WARN 0 | SKIP 0 | PASS 1176 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-toy-model-sync.R:18:3'): er_predict() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `p_toy$fit_resp` to equal `p_glm$fit_resp`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:19:3'): er_predict() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `p_toy$ci_lower` to equal `p_glm$ci_lower`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:20:3'): er_predict() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `p_toy$ci_upper` to equal `p_glm$ci_upper`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:32:3'): er_predict() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `p_toy$fit_resp` to equal `p_glm$fit_resp`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:33:3'): er_predict() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `p_toy$ci_lower` to equal `p_glm$ci_lower`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:34:3'): er_predict() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `p_toy$ci_upper` to equal `p_glm$ci_upper`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:47:3'): er_summary() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" ── Failure ('test-toy-model-sync.R:51:3'): er_summary() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" ── Failure ('test-toy-model-sync.R:67:3'): er_summary() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" ── Failure ('test-toy-model-sync.R:71:3'): er_summary() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" [ FAIL 10 | WARN 0 | SKIP 0 | PASS 1176 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.1.2
Check: tests
Result: ERROR Running ‘spelling.R’ [0s/0s] Running ‘testthat.R’ [82s/88s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(erplots) > > test_check("erplots") `er_style_data_hex()` does not encode `strata` -- its fill aesthetic already encodes point density, so all strata are pooled into a single hex-binned density. `stat_bin()` using `bins = 30`. Pick better value `binwidth`. `stat_bin()` using `bins = 30`. Pick better value `binwidth`. <er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: <none> output built: no<er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: - observed: layer built output built: no<er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: - observed: layer built - simulated: 1500 simulated rows output built: no<er_vpc> plot variables: - exposure: aucss - response: ae1 - plot_by: aucss (continuous), 4 bins plot layers: - observed: layer built - simulated: 1500 simulated rows output built: yes`stratify_by` (`weight`) is numeric; splitting into 3 quantile bins for faceting. Pass a categorical variable to `stratify_by`, or set `n_strata` to change the bin count. Saving _problems/test-toy-model-sync-18.R Saving _problems/test-toy-model-sync-19.R Saving _problems/test-toy-model-sync-20.R Saving _problems/test-toy-model-sync-32.R Saving _problems/test-toy-model-sync-33.R Saving _problems/test-toy-model-sync-34.R Saving _problems/test-toy-model-sync-50.R Saving _problems/test-toy-model-sync-54.R Saving _problems/test-toy-model-sync-70.R Saving _problems/test-toy-model-sync-74.R [ FAIL 10 | WARN 0 | SKIP 0 | PASS 1176 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-toy-model-sync.R:18:3'): er_predict() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `p_toy$fit_resp` to equal `p_glm$fit_resp`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:19:3'): er_predict() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `p_toy$ci_lower` to equal `p_glm$ci_lower`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:20:3'): er_predict() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `p_toy$ci_upper` to equal `p_glm$ci_upper`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:32:3'): er_predict() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `p_toy$fit_resp` to equal `p_glm$fit_resp`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:33:3'): er_predict() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `p_toy$ci_lower` to equal `p_glm$ci_lower`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:34:3'): er_predict() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `p_toy$ci_upper` to equal `p_glm$ci_upper`. Differences: `names(actual)` is a character vector ('1', '2', '3', '4', '5', ...) `names(expected)` is absent ── Failure ('test-toy-model-sync.R:47:3'): er_summary() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" ── Failure ('test-toy-model-sync.R:51:3'): er_summary() agrees between er_test_toy_model() and erglm for a binomial/logit fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" ── Failure ('test-toy-model-sync.R:67:3'): er_summary() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" ── Failure ('test-toy-model-sync.R:71:3'): er_summary() agrees between er_test_toy_model() and erglm for a gaussian/identity fit ── Expected `...[]` to equal `...[]`. Differences: `class(actual)`: "tbl_df" "tbl" "data.frame" `class(expected)`: "data.frame" [ FAIL 10 | WARN 0 | SKIP 0 | PASS 1176 ] Error: ! Test failures. Execution halted Flavor: r-patched-linux-x86_64

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