beersNovicesExpertsCATA: An excel file storing the data from a CATA task: Novices and...

In HerveAbdi/R4SPISE2018: A collection of R utilities for the SPISE2018 Advanced Sensory Evaluation meeting

Description

beersNovicesExpertsCATA. An excel file storing the data from a CATA task: 80 Novices and 12 Experts evaluated 9 beers described by 57 descriptors that belong to one of three blocks (Gustative, Emotion, or Context). This excel file can be accessed with the R-command system.file(), and can be read by the function PTCA4CATA::read.xls.CATA (note that the package PTCA4CATA needs to have been installed first from Github with the command devtools::install_github('HerveAbdi/PTCA4CATA')).

Details

The data are stored in an excel file containing 5 sheets. The first sheet, called DataCATA contains the CATA data: the rows are the products and the columns are the descriptors. In this sheet the data are organized and coded as indicated in the help for PTCA4CATA::read.xls.CATA and for PTCA4CATA::OrangeJuiceSortingRawData. .. The second sheet, called DescriptionJudges contains the description of the Assessors; The explanation of the description is given in the third sheet called Legend4DescriptionJudges. The fourth sheet, called Categories4Descriptors gives the category (C/E/G) of the descriptors; The explanation of the description is given in the fifth sheet called Legend4Categories (C = Context, E = Emotion, G = Gustative).

FileName

beersNovicesExpertsCATA.xlsx

ReadingTheData

To fetch this dataset use system.file() (see example below).

Author(s)

Chollet, S., Valentin, D., Lelievre, M., & Abdi, H.

References

These data were used for a keynote address given at the 2014 meeting of the Sensometrics society (see http://www.sensometric.org/page-1757209) Abdi, H., Chollet, S., Valentin, D., & Lelievre, M. Partial Triadic Correspondence Analysis of BeTA (Best that Apply) Data. Chicago, 2014.

Examples

## Not run: 
# Note we need to have DistatisR installed for the example to run
path2file <- system.file("extdata",
       "beersNovicesExpertsCATA.xlsx", package = "R4SPISE2018")
beersCATA <- PTCA4CATA::read.xls.CATA(path = path2file,
                                         sheet = "DataCATA")
          
## End(Not run)

HerveAbdi/R4SPISE2018 documentation built on Sept. 3, 2020, 6:40 a.m.