Last updated on 2023-01-25 04:51:45 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.3.0 | 29.12 | 106.23 | 135.35 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.3.0 | 25.12 | 77.88 | 103.00 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.3.0 | 173.02 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 0.3.0 | 160.55 | OK | |||
| r-devel-windows-x86_64 | 0.3.0 | 22.00 | 147.00 | 169.00 | OK | |
| r-patched-linux-x86_64 | 0.3.0 | 30.33 | 99.71 | 130.04 | OK | |
| r-release-linux-x86_64 | 0.3.0 | 25.15 | 100.46 | 125.61 | OK | |
| r-release-macos-arm64 | 0.3.0 | 85.00 | OK | |||
| r-release-macos-x86_64 | 0.3.0 | 95.00 | OK | |||
| r-release-windows-x86_64 | 0.3.0 | 23.00 | 139.00 | 162.00 | OK | |
| r-oldrel-macos-arm64 | 0.3.0 | 62.00 | ERROR | |||
| r-oldrel-macos-x86_64 | 0.3.0 | 96.00 | ERROR | |||
| r-oldrel-windows-ix86+x86_64 | 0.3.0 | 31.00 | 129.00 | 160.00 | ERROR |
Version: 0.3.0
Check: examples
Result: ERROR
Running examples in ‘PsychWordVec-Ex.R’ failed
The error most likely occurred in:
> ### Name: test_WEAT
> ### Title: Word Embedding Association Test (WEAT) and Single-Category WEAT.
> ### Aliases: test_WEAT
>
> ### ** Examples
>
> ## Remember: cc() is more convenient than c()!
>
> weat = test_WEAT(
+ demodata,
+ labels=list(T1="King", T2="Queen", A1="Male", A2="Female"),
+ T1=cc("king, King"),
+ T2=cc("queen, Queen"),
+ A1=cc("male, man, boy, brother, he, him, his, son"),
+ A2=cc("female, woman, girl, sister, she, her, hers, daughter"),
+ seed=1)
> weat
── WEAT (Word Embedding Association Test) ──────────────────────────────────────
2 King (T1) valid words
2 Queen (T2) valid words
8 Male (A1) valid words
8 Female (A2) valid words
Relative semantic similarities (differences):
───────────────────────────────────────────────
Target cos_sim_diff std_diff closer_to
───────────────────────────────────────────────
"king" King 0.104 1.587 Male
"King" King 0.090 1.598 Male
"queen" Queen -0.176 -1.751 Female
"Queen" Queen -0.129 -1.781 Female
───────────────────────────────────────────────
Mean differences for single target category:
─────────────────────────────────────────────
Target mean_raw_diff mean_std_diff p
─────────────────────────────────────────────
King 0.097 1.592 <.001 ***
Queen -0.152 -1.766 <.001 ***
─────────────────────────────────────────────
Permutation test: approximate p values (forced to two-sided)
Overall effect (raw and standardized mean differences):
─────────────────────────────────────────────────────────
Target Attrib mean_diff_raw eff_size p
─────────────────────────────────────────────────────────
King/Queen Male/Female 0.249 1.716 <.001 ***
─────────────────────────────────────────────────────────
Permutation test: exact p value = 0.00e+00 (two-sided)
>
> sc_weat = test_WEAT(
+ demodata,
+ labels=list(T1="Occupation", A1="Male", A2="Female"),
+ T1=cc("
+ architect, boss, leader, engineer, CEO, officer, manager,
+ lawyer, scientist, doctor, psychologist, investigator,
+ consultant, programmer, teacher, clerk, counselor,
+ salesperson, therapist, psychotherapist, nurse"),
+ A1=cc("male, man, boy, brother, he, him, his, son"),
+ A2=cc("female, woman, girl, sister, she, her, hers, daughter"),
+ seed=1)
Error: Input must be `wordvec` or `embed`!
Execution halted
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64
Version: 0.3.0
Check: examples
Result: ERROR
Running examples in 'PsychWordVec-Ex.R' failed
The error most likely occurred in:
> ### Name: test_WEAT
> ### Title: Word Embedding Association Test (WEAT) and Single-Category WEAT.
> ### Aliases: test_WEAT
>
> ### ** Examples
>
> ## Remember: cc() is more convenient than c()!
>
> weat = test_WEAT(
+ demodata,
+ labels=list(T1="King", T2="Queen", A1="Male", A2="Female"),
+ T1=cc("king, King"),
+ T2=cc("queen, Queen"),
+ A1=cc("male, man, boy, brother, he, him, his, son"),
+ A2=cc("female, woman, girl, sister, she, her, hers, daughter"),
+ seed=1)
> weat
-- WEAT (Word Embedding Association Test) --------------------------------------
2 King (T1) valid words
2 Queen (T2) valid words
8 Male (A1) valid words
8 Female (A2) valid words
Relative semantic similarities (differences):
-----------------------------------------------
Target cos_sim_diff std_diff closer_to
-----------------------------------------------
"king" King 0.104 1.587 Male
"King" King 0.090 1.598 Male
"queen" Queen -0.176 -1.751 Female
"Queen" Queen -0.129 -1.781 Female
-----------------------------------------------
Mean differences for single target category:
---------------------------------------------
Target mean_raw_diff mean_std_diff p
---------------------------------------------
King 0.097 1.592 <.001 ***
Queen -0.152 -1.766 <.001 ***
---------------------------------------------
Permutation test: approximate p values (forced to two-sided)
Overall effect (raw and standardized mean differences):
---------------------------------------------------------
Target Attrib mean_diff_raw eff_size p
---------------------------------------------------------
King/Queen Male/Female 0.249 1.716 <.001 ***
---------------------------------------------------------
Permutation test: exact p value = 0.00e+00 (two-sided)
>
> sc_weat = test_WEAT(
+ demodata,
+ labels=list(T1="Occupation", A1="Male", A2="Female"),
+ T1=cc("
+ architect, boss, leader, engineer, CEO, officer, manager,
+ lawyer, scientist, doctor, psychologist, investigator,
+ consultant, programmer, teacher, clerk, counselor,
+ salesperson, therapist, psychotherapist, nurse"),
+ A1=cc("male, man, boy, brother, he, him, his, son"),
+ A2=cc("female, woman, girl, sister, she, her, hers, daughter"),
+ seed=1)
Error: Input must be `wordvec` or `embed`!
Execution halted
Flavor: r-oldrel-windows-ix86+x86_64