vector_SNN

For each row of the SNN index matrix, this function takes the rows of
reference dataframe, z, and computes their column means, yielding one
mean vector per observation.

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

vector_SNN function

<dl><dt>z</dt>
<dd>Numeric dataframe</dd>
<dt>snn</dt>
<dd>Dataframe of shared nearest neighbors indices</dd></dl>

Arguments

Aggregate dataframe into mean feature vectors
Aggregrate dataframe into mean feature vectors — vector_SNN

<dl>

<dt>z</dt>
<dd>Numeric dataframe</dd>


<dt>snn</dt>
<dd>Dataframe of shared nearest neighbors indices</dd>

</dl>

vector_SNN: Aggregate dataframe into mean feature vectors Aggregrate dataframe into mean feature vectors

Description

Usage

Value

Arguments