--res_factor_adaptation

Switch

--res_factor_adaptation

Description

Like --factor_adaptation, but applies residualized factor adaptation. Aliased as --rfa.

Argument and Default Value

No argument. Boolean switch, default: False. Sets an internal integrationMethod of "rfa" (or "rfa_plus" combined with --factor_addition).

Details

Verified end-to-end with --factor_selection_type pca (the default rfe is broken — see the Known issue on that page, which applies here too since both switches share the same factor-selection code path).

Other Switches

Required Switches:

• --nfold_test_regression

• --outcome_controls

Optional Switches:

• --adaptation_factors, --num_of_factors, --factor_selection_type

• --paired_factors, --factor_addition, --report

Example Commands

Using the packaged dla_tutorial dataset (see Differential Language Analysis (DLA) Tutorial):

dlatkInterface.py -d dla_tutorial -t msgs -c user_id -f 'feat$1to3gram$msgs$user_id$0_05' \
--outcome_table blog_outcomes --outcomes age --outcome_controls gender is_student \
--combo_test_regression --res_factor_adaptation --adaptation_factors gender is_student \
--num_of_factors 1 --factor_selection_type pca