class statsmodels.multivariate.manova.MANOVA(endog, exog, missing='none', hasconst=None, **kwargs)
[source]
Multivariate analysis of variance The implementation of MANOVA is based on multivariate regression and does not assume that the explanatory variables are categorical. Any type of variables as in regression is allowed.
Parameters: |
|
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endog
array – See Parameters.
exog
array – See Parameters.
[*] | ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/20.0/en/client/Manuals/IBM_SPSS_Statistics_Algorithms.pdf |
fit () | Fit a model to data. |
from_formula (formula, data[, subset, drop_cols]) | Create a Model from a formula and dataframe. |
mv_test ([hypotheses]) | Linear hypotheses testing |
predict (params[, exog]) | After a model has been fit predict returns the fitted values. |
endog_names | Names of endogenous variables |
exog_names | Names of exogenous variables |
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.multivariate.manova.MANOVA.html