An example of an excel file storing the Flash Profile of 6 (fictitious) assessors evaluating 7 (imaginary) beers. This excel file can be read by read.df.excel.
An example of an excel file storing the Flash Profile of 6 (fictitious) assessors evaluating 7 (imaginary) beers. This excel file can be read by read.df.excel.
BeersFlashProfile: An example of an excel file storing the Flash Profile of 6 (fictitious) assessors evaluating 7 (imaginary) beers. This excel file can be read by read.df.excel.
data
In this example of Flash Profiling 6 (fictitious) assessors evaluated 7 (imaginery) beers. First, Each assessor chose a set of descriptors suited to describe these beers and then ranked (or rated in variations of the technique) the beers for each dimension. Note that the descriptors as well as the number of descriptors vary with the judges.
Note: The names of the variables starts with the Judges ID (J1- to J6-).
Note: the data are stored in the Excel Sheet called Rankings of the excel file BeersFlashProfile.xlsx.
FileName
BeersFlashProfile.xlsx
Examples
# get the path and file namepath2file <- system.file("extdata","BeersFlashProfile.xlsx", package ='DistatisR')# read the data in excel file with read.df.excelbeerDataFlash <- read.df.excel(path = path2file, sheet ='Rankings')$df.data
# the Flash Profiling data are now in the data.frame beerDataFlash
References
Abdi, H., & Valentin, D. (2007). Some new and easy ways to describe, compare, and evaluate products and assessors. In D., Valentin, D.Z. Nguyen, L. Pelletier (Eds) New trends in sensory evaluation of food and non-food products. Ho Chi Minh (Vietnam): Vietnam National University & Ho Chi Minh City Publishing House. pp. 5-18.