generate_shams

Generates a permutation of each individual dyad. Shuffled dyads may act as controls to their originals.

Imports conversation transcripts into R, concatenates them into a single dataframe appending event identifiers, cleans and formats the text, then yokes user-specified psycholinguistic database values to each word.  'ConversationAlign' then computes alignment indices between two interlocutors across each transcript for >40 possible semantic, lexical, and affective dimensions. In addition to alignment, 'ConversationAlign' also produces a table of analytics (e.g., token count, type-token-ratio) in a summary table describing your particular text corpus.

Jamie Reilly

ConversationAlign

Process Text and Compute Linguistic Alignment in Conversation
Transcripts

Virginia Ulichney

Ben Sacks

Sarah Weinstein

Chelsea Helion

Gus Cooney

generate_shams function

<dl><dt>df_prep</dt>
<dd>Output dataframe of prep_dyads().</dd>
<dt>seed</dt>
<dd>(Optional) a seed for reproducibility in random sampling</dd></dl>

Arguments

generate_shams — generate_shams

<dl>

<dt>df_prep</dt>
<dd>Output dataframe of prep_dyads().</dd>


<dt>seed</dt>
<dd>(Optional) a seed for reproducibility in random sampling</dd>

</dl>

generate_shams: generate_shams

Description

Usage

Value

Arguments