docs/source/anova.rst
.. currentmodule:: statsmodels.stats.anova
.. _anova:
Analysis of Variance models containing anova_lm for ANOVA analysis with a linear OLSModel, and AnovaRM for repeated measures ANOVA, within ANOVA for balanced data.
.. ipython:: python
import statsmodels.api as sm
from statsmodels.formula.api import ols
moore = sm.datasets.get_rdataset("Moore", "carData",
cache=True) # load data
data = moore.data
data = data.rename(columns={"partner.status":
"partner_status"}) # make name pythonic
moore_lm = ols('conformity ~ C(fcategory, Sum)*C(partner_status, Sum)',
data=data).fit()
table = sm.stats.anova_lm(moore_lm, typ=2) # Type 2 ANOVA DataFrame
print(table)
A more detailed example for anova_lm can be found here:
ANOVA <examples/notebooks/generated/interactions_anova.ipynb>_.. module:: statsmodels.stats.anova :synopsis: Analysis of Variance
.. autosummary:: :toctree: generated/
anova_lm AnovaRM