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Marginals

Used to calculate marginal descriptive statistics.

Example

To calculate marginals we first need to get data into a DataFrame

>>> df=DataFrame()
>>> df.read_tbl('data/words~ageXcondition.csv')
>>> D = df.marginals('WORDS',factors=['AGE','CONDITION'])
>>> print(D)
AGE    CONDITION    Mean    Count   Std.    95% CI   95% CI
                                    Error   lower    upper
============================================================
old     adjective   11.000   10      0.789    9.454   12.546
old     counting     7.000   10      0.577    5.868    8.132
old     imagery     13.400   10      1.424   10.610   16.190
old     intention   12.000   10      1.183    9.681   14.319
old     rhyming      6.900   10      0.674    5.579    8.221
young   adjective   14.800   10      1.104   12.637   16.963
young   counting     6.500   10      0.453    5.611    7.389
young   imagery     17.600   10      0.819   15.994   19.206
young   intention   19.300   10      0.844   17.646   20.954
young   rhyming      7.600   10      0.618    6.388    8.812
This software is funded in part by NIH Grant P20 RR016454.
© Copyright 2012, Roger Lew. Created using Sphinx 1.1.3.