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EloChoice (version 0.29.4)

Preference Rating for Visual Stimuli Based on Elo Ratings

Description

Allows calculating global scores for characteristics of visual stimuli as assessed by human raters. Stimuli are presented as sequence of pairwise comparisons ('contests'), during each of which a rater expresses preference for one stimulus over the other (forced choice). The algorithm for calculating global scores is based on Elo rating, which updates individual scores after each single pairwise contest. Elo rating is widely used to rank chess players according to their performance. Its core feature is that dyadic contests with expected outcomes lead to smaller changes of participants' scores than outcomes that were unexpected. As such, Elo rating is an efficient tool to rate individual stimuli when a large number of such stimuli are paired against each other in the context of experiments where the goal is to rank stimuli according to some characteristic of interest. Clark et al (2018) provide details.

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Install

install.packages('EloChoice')

Monthly Downloads

213

Version

0.29.4

License

GPL (>= 3)

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Maintainer

Christof Neumann

Last Published

July 4th, 2019

Functions in EloChoice (0.29.4)

singlechoice

update stimulus ratings after one rating event
reliability

calculate reliability-index
summary.elochoice

summarize elochoice object
triplets

calculate ratings from sequence of rating events, allowing for more than two stimuli
raterprog

reliability with progressive rater inclusion
ratings

indiviual stimulus ratings
elochoice

Elo-ratings for pairwise comparisons of visual stimuli
makepairwise

transform preference data
physical

Physical strength of males
randompairs

generate random data of pairwise preference ratings