estimate_participant

Estimate the number of people needed and expected number of unique properties for a determined coverage based on the estimated norms

Application to estimate statistical values using properties provided by a group of individuals to describe
concepts using 'shiny'. It estimates the underlying distribution to generate new descriptive words
Canessa et al. (2023) <doi:10.3758/s13428-022-01811-w>, applies a new clustering model, and uses simulations to estimate
the probability that two persons describe the same words based on their descriptions
Canessa et al. (2022) <doi:10.3758/s13428-022-02030-z>.

Sebastian Moreno

WordListsAnalytics

Multiple Data Analysis Tools for Property Listing Tasks

Cristobal Heredia

Enrique Canessa

Sergio Chaigneau

estimate_participant function

<dl><dt>est_norms</dt>
<dd>A data frame with the estimated norms (generated by generateNorms function)</dd>
<dt>target_cover</dt>
<dd>Float between 0 and 1, corresponding to coverage (the fraction of the total incidence probabilities of the reported properties that are in the reference sample)</dd></dl>

Arguments

Estimate the number of people needed and expected number of unique properties for a determined coverage based on the estimated norms — estimate_participant

<dl>

<dt>est_norms</dt>
<dd>A data frame with the estimated norms (generated by generateNorms function)</dd>


<dt>target_cover</dt>
<dd>Float between 0 and 1, corresponding to coverage (the fraction of the total incidence probabilities of the reported properties that are in the reference sample)</dd>

</dl>

estimate_participant: Estimate the number of people needed and expected number of unique properties for a determined coverage based on the estimated norms

Description

Usage

Value

Arguments

Examples