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R‐index critical value
Author(s) -
Bi Jian,
O'Mahony Michael
Publication year - 2020
Publication title -
journal of sensory studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.61
H-Index - 53
eISSN - 1745-459X
pISSN - 0887-8250
DOI - 10.1111/joss.12591
Subject(s) - sensory system , index (typography) , table (database) , statistics , value (mathematics) , sample size determination , sample (material) , measure (data warehouse) , preference , mathematics , code (set theory) , computer science , psychology , data mining , set (abstract data type) , cognitive psychology , programming language , physics , thermodynamics
The R‐index is a sound methodology, which has been introduced, developed, and used in the sensory and consumer fields for several decades. The R‐index methodology can be used both to measure and to test sensory difference and consumer preference. This paper provides an R code for calculation of the R‐index critical value for difference testing, which is a supplement to or an alternative for the published table in Bi & O'Mahony (2007) (Journal of Sensory Studies, 22, 713–720). Practical applications The R code provided in the short contributions overcomes the limitation of the previously published table of R‐index critical values in Bi & O'Mahony (2007) (Journal of Sensory Studies, 22, 713–720) with its limited number of sample sizes and required equal size for the control sample and test sample.