Last updated on 2020-06-15 08:53:21 CEST.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 0.3.0 | 2.21 | 28.42 | 30.63 | ERROR | |
r-devel-linux-x86_64-debian-gcc | 0.3.0 | 1.67 | 22.82 | 24.49 | ERROR | |
r-devel-linux-x86_64-fedora-clang | 0.3.0 | 46.26 | ERROR | |||
r-devel-linux-x86_64-fedora-gcc | 0.3.0 | 38.75 | ERROR | |||
r-devel-windows-ix86+x86_64 | 0.3.0 | 12.00 | 44.00 | 56.00 | ERROR | |
r-patched-linux-x86_64 | 0.3.0 | 2.18 | 28.22 | 30.40 | ERROR | |
r-patched-solaris-x86 | 0.3.0 | 57.80 | ERROR | |||
r-release-linux-x86_64 | 0.3.0 | 2.37 | 28.04 | 30.41 | ERROR | |
r-release-osx-x86_64 | 0.3.0 | NOTE | ||||
r-release-windows-ix86+x86_64 | 0.3.0 | 15.00 | 38.00 | 53.00 | ERROR | |
r-oldrel-osx-x86_64 | 0.3.0 | NOTE | ||||
r-oldrel-windows-ix86+x86_64 | 0.3.0 | 6.00 | 41.00 | 47.00 | ERROR |
Version: 0.3.0
Check: tests
Result: ERROR
Running 'testthat.R' [3s/6s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(mmetrics)
>
> test_check("mmetrics")
-- 1. Error: summarize one key (@test-mmetrics.R#16) --------------------------
Problem with `summarise()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
-- 2. Error: summarize two keys (@test-mmetrics.R#21) -------------------------
Problem with `summarise()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
-- 3. Error: summarize all (@test-mmetrics.R#26) ------------------------------
Problem with `summarise()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
Backtrace:
1. dplyr::summarise(df, !!!metrics)
2. dplyr:::summarise.data.frame(df, !!!metrics)
3. dplyr:::summarise_cols(.data, ...)
-- 4. Error: mutate one key (@test-mmetrics.R#31) -----------------------------
Problem with `mutate()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
-- 5. Error: mutate two keys (@test-mmetrics.R#36) ----------------------------
Problem with `mutate()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
-- 6. Error: mutate all with (@test-mmetrics.R#41) ----------------------------
Problem with `mutate()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
Backtrace:
1. dplyr::mutate(df, !!!metrics)
2. dplyr:::mutate.data.frame(df, !!!metrics)
3. dplyr:::mutate_cols(.data, ...)
-- 7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
-- 8. Failure: not evaluatable metrics must be removed without error (@test-mmet
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
-- 9. Error: not evaluatable metrics must be removed without error (@test-mmetri
Problem with `summarise()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarize(., count = n(), cost = sum(cost), ctr = sum(click)/sum(impression))
11. dplyr:::summarise_cols(.data, ...)
== testthat results ===========================================================
[ OK: 12 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 9 ]
1. Error: summarize one key (@test-mmetrics.R#16)
2. Error: summarize two keys (@test-mmetrics.R#21)
3. Error: summarize all (@test-mmetrics.R#26)
4. Error: mutate one key (@test-mmetrics.R#31)
5. Error: mutate two keys (@test-mmetrics.R#36)
6. Error: mutate all with (@test-mmetrics.R#41)
7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.R#48)
8. Failure: not evaluatable metrics must be removed without error (@test-mmetrics.R#55)
9. Error: not evaluatable metrics must be removed without error (@test-mmetrics.R#63)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [2s/3s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(mmetrics)
>
> test_check("mmetrics")
── 1. Error: summarize one key (@test-mmetrics.R#16) ──────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
── 2. Error: summarize two keys (@test-mmetrics.R#21) ─────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
── 3. Error: summarize all (@test-mmetrics.R#26) ──────────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
Backtrace:
1. dplyr::summarise(df, !!!metrics)
2. dplyr:::summarise.data.frame(df, !!!metrics)
3. dplyr:::summarise_cols(.data, ...)
── 4. Error: mutate one key (@test-mmetrics.R#31) ─────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
── 5. Error: mutate two keys (@test-mmetrics.R#36) ────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
── 6. Error: mutate all with (@test-mmetrics.R#41) ────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
Backtrace:
1. dplyr::mutate(df, !!!metrics)
2. dplyr:::mutate.data.frame(df, !!!metrics)
3. dplyr:::mutate_cols(.data, ...)
── 7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
── 8. Failure: not evaluatable metrics must be removed without error (@test-mmet
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
── 9. Error: not evaluatable metrics must be removed without error (@test-mmetri
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarize(., count = n(), cost = sum(cost), ctr = sum(click)/sum(impression))
11. dplyr:::summarise_cols(.data, ...)
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 12 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 9 ]
1. Error: summarize one key (@test-mmetrics.R#16)
2. Error: summarize two keys (@test-mmetrics.R#21)
3. Error: summarize all (@test-mmetrics.R#26)
4. Error: mutate one key (@test-mmetrics.R#31)
5. Error: mutate two keys (@test-mmetrics.R#36)
6. Error: mutate all with (@test-mmetrics.R#41)
7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.R#48)
8. Failure: not evaluatable metrics must be removed without error (@test-mmetrics.R#55)
9. Error: not evaluatable metrics must be removed without error (@test-mmetrics.R#63)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.3.0
Check: dependencies in R code
Result: NOTE
Namespaces in Imports field not imported from:
‘magrittr’ ‘stringr’
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: 0.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(mmetrics)
>
> test_check("mmetrics")
── 1. Error: summarize one key (@test-mmetrics.R#16) ──────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
── 2. Error: summarize two keys (@test-mmetrics.R#21) ─────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
── 3. Error: summarize all (@test-mmetrics.R#26) ──────────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
Backtrace:
1. dplyr::summarise(df, !!!metrics)
2. dplyr:::summarise.data.frame(df, !!!metrics)
3. dplyr:::summarise_cols(.data, ...)
── 4. Error: mutate one key (@test-mmetrics.R#31) ─────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
── 5. Error: mutate two keys (@test-mmetrics.R#36) ────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
── 6. Error: mutate all with (@test-mmetrics.R#41) ────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
Backtrace:
1. dplyr::mutate(df, !!!metrics)
2. dplyr:::mutate.data.frame(df, !!!metrics)
3. dplyr:::mutate_cols(.data, ...)
── 7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
── 8. Failure: not evaluatable metrics must be removed without error (@test-mmet
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
── 9. Error: not evaluatable metrics must be removed without error (@test-mmetri
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarize(., count = n(), cost = sum(cost), ctr = sum(click)/sum(impression))
11. dplyr:::summarise_cols(.data, ...)
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 12 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 9 ]
1. Error: summarize one key (@test-mmetrics.R#16)
2. Error: summarize two keys (@test-mmetrics.R#21)
3. Error: summarize all (@test-mmetrics.R#26)
4. Error: mutate one key (@test-mmetrics.R#31)
5. Error: mutate two keys (@test-mmetrics.R#36)
6. Error: mutate all with (@test-mmetrics.R#41)
7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.R#48)
8. Failure: not evaluatable metrics must be removed without error (@test-mmetrics.R#55)
9. Error: not evaluatable metrics must be removed without error (@test-mmetrics.R#63)
Error: testthat unit tests failed
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-patched-solaris-x86
Version: 0.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [4s/14s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(mmetrics)
>
> test_check("mmetrics")
── 1. Error: summarize one key (@test-mmetrics.R#16) ──────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
── 2. Error: summarize two keys (@test-mmetrics.R#21) ─────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
── 3. Error: summarize all (@test-mmetrics.R#26) ──────────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
Backtrace:
1. dplyr::summarise(df, !!!metrics)
2. dplyr:::summarise.data.frame(df, !!!metrics)
3. dplyr:::summarise_cols(.data, ...)
── 4. Error: mutate one key (@test-mmetrics.R#31) ─────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
── 5. Error: mutate two keys (@test-mmetrics.R#36) ────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
── 6. Error: mutate all with (@test-mmetrics.R#41) ────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
Backtrace:
1. dplyr::mutate(df, !!!metrics)
2. dplyr:::mutate.data.frame(df, !!!metrics)
3. dplyr:::mutate_cols(.data, ...)
── 7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
── 8. Failure: not evaluatable metrics must be removed without error (@test-mmet
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
── 9. Error: not evaluatable metrics must be removed without error (@test-mmetri
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarize(., count = n(), cost = sum(cost), ctr = sum(click)/sum(impression))
11. dplyr:::summarise_cols(.data, ...)
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 12 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 9 ]
1. Error: summarize one key (@test-mmetrics.R#16)
2. Error: summarize two keys (@test-mmetrics.R#21)
3. Error: summarize all (@test-mmetrics.R#26)
4. Error: mutate one key (@test-mmetrics.R#31)
5. Error: mutate two keys (@test-mmetrics.R#36)
6. Error: mutate all with (@test-mmetrics.R#41)
7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.R#48)
8. Failure: not evaluatable metrics must be removed without error (@test-mmetrics.R#55)
9. Error: not evaluatable metrics must be removed without error (@test-mmetrics.R#63)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.3.0
Check: tests
Result: ERROR
Running 'testthat.R' [4s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(mmetrics)
>
> test_check("mmetrics")
-- 1. Error: summarize one key (@test-mmetrics.R#16) --------------------------
Problem with `summarise()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
-- 2. Error: summarize two keys (@test-mmetrics.R#21) -------------------------
Problem with `summarise()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
-- 3. Error: summarize all (@test-mmetrics.R#26) ------------------------------
Problem with `summarise()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
Backtrace:
1. dplyr::summarise(df, !!!metrics)
2. dplyr:::summarise.data.frame(df, !!!metrics)
3. dplyr:::summarise_cols(.data, ...)
-- 4. Error: mutate one key (@test-mmetrics.R#31) -----------------------------
Problem with `mutate()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
-- 5. Error: mutate two keys (@test-mmetrics.R#36) ----------------------------
Problem with `mutate()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
-- 6. Error: mutate all with (@test-mmetrics.R#41) ----------------------------
Problem with `mutate()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
Backtrace:
1. dplyr::mutate(df, !!!metrics)
2. dplyr:::mutate.data.frame(df, !!!metrics)
3. dplyr:::mutate_cols(.data, ...)
-- 7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
-- 8. Failure: not evaluatable metrics must be removed without error (@test-mmet
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
-- 9. Error: not evaluatable metrics must be removed without error (@test-mmetri
Problem with `summarise()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarize(., count = n(), cost = sum(cost), ctr = sum(click)/sum(impression))
11. dplyr:::summarise_cols(.data, ...)
== testthat results ===========================================================
[ OK: 12 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 9 ]
1. Error: summarize one key (@test-mmetrics.R#16)
2. Error: summarize two keys (@test-mmetrics.R#21)
3. Error: summarize all (@test-mmetrics.R#26)
4. Error: mutate one key (@test-mmetrics.R#31)
5. Error: mutate two keys (@test-mmetrics.R#36)
6. Error: mutate all with (@test-mmetrics.R#41)
7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.R#48)
8. Failure: not evaluatable metrics must be removed without error (@test-mmetrics.R#55)
9. Error: not evaluatable metrics must be removed without error (@test-mmetrics.R#63)
Error: testthat unit tests failed
Execution halted
Flavors: r-devel-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64
Version: 0.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [3s/4s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(mmetrics)
>
> test_check("mmetrics")
── 1. Error: summarize one key (@test-mmetrics.R#16) ──────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
── 2. Error: summarize two keys (@test-mmetrics.R#21) ─────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
── 3. Error: summarize all (@test-mmetrics.R#26) ──────────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
Backtrace:
1. dplyr::summarise(df, !!!metrics)
2. dplyr:::summarise.data.frame(df, !!!metrics)
3. dplyr:::summarise_cols(.data, ...)
── 4. Error: mutate one key (@test-mmetrics.R#31) ─────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
── 5. Error: mutate two keys (@test-mmetrics.R#36) ────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
── 6. Error: mutate all with (@test-mmetrics.R#41) ────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
Backtrace:
1. dplyr::mutate(df, !!!metrics)
2. dplyr:::mutate.data.frame(df, !!!metrics)
3. dplyr:::mutate_cols(.data, ...)
── 7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
── 8. Failure: not evaluatable metrics must be removed without error (@test-mmet
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
── 9. Error: not evaluatable metrics must be removed without error (@test-mmetri
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarize(., count = n(), cost = sum(cost), ctr = sum(click)/sum(impression))
11. dplyr:::summarise_cols(.data, ...)
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 12 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 9 ]
1. Error: summarize one key (@test-mmetrics.R#16)
2. Error: summarize two keys (@test-mmetrics.R#21)
3. Error: summarize all (@test-mmetrics.R#26)
4. Error: mutate one key (@test-mmetrics.R#31)
5. Error: mutate two keys (@test-mmetrics.R#36)
6. Error: mutate all with (@test-mmetrics.R#41)
7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.R#48)
8. Failure: not evaluatable metrics must be removed without error (@test-mmetrics.R#55)
9. Error: not evaluatable metrics must be removed without error (@test-mmetrics.R#63)
Error: testthat unit tests failed
Execution halted
Flavor: r-patched-linux-x86_64
Version: 0.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [3s/3s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(mmetrics)
>
> test_check("mmetrics")
── 1. Error: summarize one key (@test-mmetrics.R#16) ──────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
── 2. Error: summarize two keys (@test-mmetrics.R#21) ─────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
── 3. Error: summarize all (@test-mmetrics.R#26) ──────────────────────────────
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
Backtrace:
1. dplyr::summarise(df, !!!metrics)
2. dplyr:::summarise.data.frame(df, !!!metrics)
3. dplyr:::summarise_cols(.data, ...)
── 4. Error: mutate one key (@test-mmetrics.R#31) ─────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
── 5. Error: mutate two keys (@test-mmetrics.R#36) ────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
── 6. Error: mutate all with (@test-mmetrics.R#41) ────────────────────────────
Problem with `mutate()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
Backtrace:
1. dplyr::mutate(df, !!!metrics)
2. dplyr:::mutate.data.frame(df, !!!metrics)
3. dplyr:::mutate_cols(.data, ...)
── 7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
── 8. Failure: not evaluatable metrics must be removed without error (@test-mmet
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
── 9. Error: not evaluatable metrics must be removed without error (@test-mmetri
Problem with `summarise()` input `count`.
✖ could not find function "n"
ℹ Input `count` is `n()`.
ℹ The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarize(., count = n(), cost = sum(cost), ctr = sum(click)/sum(impression))
11. dplyr:::summarise_cols(.data, ...)
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 12 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 9 ]
1. Error: summarize one key (@test-mmetrics.R#16)
2. Error: summarize two keys (@test-mmetrics.R#21)
3. Error: summarize all (@test-mmetrics.R#26)
4. Error: mutate one key (@test-mmetrics.R#31)
5. Error: mutate two keys (@test-mmetrics.R#36)
6. Error: mutate all with (@test-mmetrics.R#41)
7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.R#48)
8. Failure: not evaluatable metrics must be removed without error (@test-mmetrics.R#55)
9. Error: not evaluatable metrics must be removed without error (@test-mmetrics.R#63)
Error: testthat unit tests failed
Execution halted
Flavor: r-release-linux-x86_64
Version: 0.3.0
Check: tests
Result: ERROR
Running 'testthat.R' [2s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(mmetrics)
>
> test_check("mmetrics")
-- 1. Error: summarize one key (@test-mmetrics.R#16) --------------------------
Problem with `summarise()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
-- 2. Error: summarize two keys (@test-mmetrics.R#21) -------------------------
Problem with `summarise()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::summarise(., !!!metrics)
11. dplyr:::summarise_cols(.data, ...)
-- 3. Error: summarize all (@test-mmetrics.R#26) ------------------------------
Problem with `summarise()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
Backtrace:
1. dplyr::summarise(df, !!!metrics)
2. dplyr:::summarise.data.frame(df, !!!metrics)
3. dplyr:::summarise_cols(.data, ...)
-- 4. Error: mutate one key (@test-mmetrics.R#31) -----------------------------
Problem with `mutate()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
-- 5. Error: mutate two keys (@test-mmetrics.R#36) ----------------------------
Problem with `mutate()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F", age = 20.
Backtrace:
1. dplyr::group_by(df, gender, age)
9. dplyr::mutate(., !!!metrics)
11. dplyr:::mutate_cols(.data, ...)
-- 6. Error: mutate all with (@test-mmetrics.R#41) ----------------------------
Problem with `mutate()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
Backtrace:
1. dplyr::mutate(df, !!!metrics)
2. dplyr:::mutate.data.frame(df, !!!metrics)
3. dplyr:::mutate_cols(.data, ...)
-- 7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
-- 8. Failure: not evaluatable metrics must be removed without error (@test-mmet
add(df, gender, metrics = metrics, summarize = FALSE) not equal to `df_expected`.
Attributes: < Names: 1 string mismatch >
Attributes: < Length mismatch: comparison on first 2 components >
Attributes: < Component "class": Lengths (3, 4) differ (string compare on first 3) >
Attributes: < Component "class": 3 string mismatches >
Attributes: < Component 2: Modes: numeric, list >
Attributes: < Component 2: Lengths: 10, 2 >
Attributes: < Component 2: names for current but not for target >
Attributes: < Component 2: Attributes: < target is NULL, current is list > >
Attributes: < Component 2: target is numeric, current is tbl_df >
-- 9. Error: not evaluatable metrics must be removed without error (@test-mmetri
Problem with `summarise()` input `count`.
x could not find function "n"
i Input `count` is `n()`.
i The error occured in group 1: gender = "F".
Backtrace:
1. dplyr::group_by(df, gender)
9. dplyr::summarize(., count = n(), cost = sum(cost), ctr = sum(click)/sum(impression))
11. dplyr:::summarise_cols(.data, ...)
== testthat results ===========================================================
[ OK: 12 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 9 ]
1. Error: summarize one key (@test-mmetrics.R#16)
2. Error: summarize two keys (@test-mmetrics.R#21)
3. Error: summarize all (@test-mmetrics.R#26)
4. Error: mutate one key (@test-mmetrics.R#31)
5. Error: mutate two keys (@test-mmetrics.R#36)
6. Error: mutate all with (@test-mmetrics.R#41)
7. Failure: mutate with non summarize mode to evaluate ratio (@test-mmetrics.R#48)
8. Failure: not evaluatable metrics must be removed without error (@test-mmetrics.R#55)
9. Error: not evaluatable metrics must be removed without error (@test-mmetrics.R#63)
Error: testthat unit tests failed
Execution halted
Flavor: r-release-windows-ix86+x86_64