--loessplot

Switch

--loessplot FEAT_1 ... FEAT_N

Description

Output loess plots of the given features.

Argument and Default Value

Space separated list of feature names.

Details

LOESS and LOWESS (locally weighted scatterplot smoothing) are two strongly related non:doc:fwflag_parametric regression methods that combine multiple regression models in a k:doc:fwflag_nearest-neighbor-based meta:doc:fwflag_model. "LOESS" is a later generalization of LOWESS; although it is not a true initialism, it may be understood as standing for "LOcal regrESSion".

Other Switches

Required Switches:

• -d, fwflag_corpdb

• -f, fwflag_feat_table

• --outcomes --outcome_table

Optional Switches:

• --output_dir or --output_name

• --spearman

• --group_freq_thresh

• --p_correction

• --blacklist

• --whitelist

• --show_feat_freqs

• --not_show_feat_freqs

• --topic_lexicon

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$1gram$msgs$user_id$16to16$0_01' \
--outcome_table blog_outcomes --outcomes age --group_freq_thresh 500 \
--loessplot good great happy sad --output_name ./loess_output