Repeated Measures run #191 · statistical_test
2.707
statistic
0.1111
p value
repeated_measures
method
30
n subjects
completed
status
2026-09-21 02:16
created
Figures
Subject profiles
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Group × time interaction
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Anova Table 3 rows
| term | df | df_error | F | p |
|---|---|---|---|---|
| group (between) | 1.0 | 28.0 | 2.706727980446332 | 0.11110742127201342 |
| time | 2.0 | 56.0 | 30.666977858956535 | 1.0125134666366307e-09 |
| time × group | 2.0 | 56.0 | 9.444348854371432 | 0.0002921520653108912 |
Timepoint Means 3 rows
| name | value |
|---|---|
| t1 | 51.57800923719794 |
| t2 | 52.98407977240975 |
| t3 | 53.75411977989475 |
Method & Provenance
- Method
- Repeated-measures ANOVA
- Method key
repeated_measures(result type:statistical_test, result #191)- Engine
- Python · statsmodels v0.14.6
- Dataset(s)
- #709 gallery — example_repeated_measures.csv
- Status
- completed
- Permanent link
- https://cat-g-omxpert.wishartlab.com/results/by-token/912162730f9b4e7f9d1dca324562f4e7 Bookmark or share this URL — it does not depend on your session.
- Created
- 2026-09-21 02:16:57.609141
Parameters used
| Parameter | Value |
|---|---|
test_type
| repeated_measures |
timepoint_cols
| t1, t2, t3 |
between_col
| group |
Execution trace
Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made.
from statsmodels.stats.anova import AnovaRMfit = AnovaRM(long_df, depvar='value', subject='subject', within=['time']).fit()