pCOS

Applies pCOS_row() to corresponding rows of two data frames,
returning one pCOS value per row.

A collection of large language model (LLM) text analysis methods
designed with psychological data in mind. Currently, LLMing (aka "lemming")
includes a text anomaly detection method based on the angle-based subspace
approach described by Zhang, Lin, and Karim (2015) and a text generation method.
<doi:10.1016/j.ress.2015.05.025>.

Lindley Slipetz

LLMing

Large Language Model (LLM) Tools for Psychological Text Analysis

Teague Henry

Siqi Sun

pCOS function

<dl><dt>z_dat</dt>
<dd>Numeric dataframe, typically z-scores</dd>
<dt>vec_SNN</dt>
<dd>Numeric dataframe, typically the output of vector_SNN</dd></dl>

Arguments

pCOS scores for every row of dataframe — pCOS

<dl>

<dt>z_dat</dt>
<dd>Numeric dataframe, typically z-scores</dd>


<dt>vec_SNN</dt>
<dd>Numeric dataframe, typically the output of vector_SNN</dd>

</dl>

pCOS: pCOS scores for every row of dataframe

Description

Usage

Value

Arguments