.. _fwflag_cohens_d:
==========
--cohens_d
==========
Switch
======

--cohens_d

Description
===========

Uses Cohen's D for effect size and logistic regression for significance. Best for binary outcomes. 

Argument and Default Value
==========================

None

Details
=======

Note: you cannot compare coefficients in Logistic regression so one alternative is to use Cohen's D. This automatically turns on the :doc:`fwflag_logistic_reg` flag so no need to use it. 


Other Switches
==============

Required Switches:

* :doc:`fwflag_d`, :doc:`fwflag_t`, :doc:`fwflag_c`
* :doc:`fwflag_f`
* :doc:`fwflag_outcome_table`, :doc:`fwflag_outcomes`

Optional Switches:

* :doc:`fwflag_interaction_ddla`
* :doc:`fwflag_correlate`
* :doc:`fwflag_rmatrix`
* :doc:`fwflag_tagcloud`
* :doc:`fwflag_topic_tagcloud`
* :doc:`fwflag_make_wordclouds`
* :doc:`fwflag_make_topic_wordclouds`

Example Commands
================

.. code-block:: bash

	dlatkInterface.py -d dla_tutorial -t msgs -c user_id \ 
	-f 'feat$cat_met_a30_2000_cp_w$msgs$user_id$1gra' \ 
	--outcome_table blog_outcomes  --group_freq_thresh 500 \ 
	--outcomes gender --output_name gender_correlates_logistic_d \ 
	--topic_tagcloud --make_topic_wordcloud --topic_lexicon met_a30_2000_freq_t50ll \ 
	--tagcloud_colorscheme bluered \
	--cohens_d