tasterperf: individual performance for descriptive Sensory Tests

In laynelv/isenso: intelligent sensory tests: a package of R programming for food sensory & consumer evaluations.

Description

F :Compute attribute~Product "one-way ANOVAs"

to asses Individual discrimination ability,The ratio of variance "between" and "within" products is called "F-ratio" (F-ratio=Between/Within). The better the panelist discriminates, the larger this F-ratio. For this analysis, F>=2.0 is recommended: Any taster with an F-ratio>= 2.0 will be considered as discriminant on that attribute.

r :Compute "Pearson correlations"

to asses Individual agreement with the rest of the panel.Panelists are in agreement if they rate products in the same order and with similar scoring patterns. This can be characterized by a correlation coefficient r.Regard the agreement as satisfactory if r>= 0.8.

Usage

tasterperf(data = NULL, ntaster)

Arguments

data	a dataframe, it's structure as same as the 'chocolate',colnames are Product,Panelist,Session,attribute01,attribute02......
ntaster	the name or number of a taster.

Examples

## compute taster11's discrimination ability and aggreement
data(chocolate)
tasterperf(chocolate,"taster11")

##another way

tasterperf(chocolate,11)

laynelv/isenso documentation built on May 20, 2019, 8:26 p.m.