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.

Examples

In [1]: import statsmodels.api as sm

In [2]: from statsmodels.formula.api import ols

In [3]: moore = sm.datasets.get_rdataset("Moore", "carData",
   ...:                                  cache=True) # load data
   ...: 

In [4]: data = moore.data

In [5]: data = data.rename(columns={"partner.status":
   ...:                             "partner_status"}) # make name pythonic
   ...: 

In [6]: moore_lm = ols('conformity ~ C(fcategory, Sum)*C(partner_status, Sum)',
   ...:                 data=data).fit()
   ...: 

In [7]: table = sm.stats.anova_lm(moore_lm, typ=2) # Type 2 ANOVA DataFrame

In [8]: print(table)
                                              sum_sq    df          F    PR(>F)
C(fcategory, Sum)                          11.614700   2.0   0.276958  0.759564
C(partner_status, Sum)                    212.213778   1.0  10.120692  0.002874
C(fcategory, Sum):C(partner_status, Sum)  175.488928   2.0   4.184623  0.022572
Residual                                  817.763961  39.0        NaN       NaN

A more detailed example for anova_lm can be found here:

• ANOVA

Module Reference

anova_lm(*args, **kwargs)	Anova table for one or more fitted linear models.
AnovaRM(data, depvar, subject[, within, …])	Repeated measures Anova using least squares regression