winetable: Sensory wine evaluation
In raters: A Modification of Fleiss' Kappa in Case of Nominal and Ordinal Variables
winetable R Documentation
Sensory wine evaluation
Description
The data wine in ordinal package represent a factorial experiment on factors determining the bitterness of wine
with 1 as “Least bitter”and 5 as “Most bitter”.
In this case, we supposed that eight different bottles of wine were evaluated by nine judges according to the bitterness scale described above.
It is possible to get this data using the dataframe wine included in ordinal package using table(wine$bottle,wine$rating)
Usage
data(winetable)
Format
A data frame with 8 observations on 5 variables.
References
Randall J.H.(1989) The Analysis of Sensory Data by Generalized Linear Model. Biometrical Journal
vol 31,issue 7, pp 781-793
raters documentation built on Aug. 19, 2023, 5:12 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| winetable | R Documentation |
Sensory wine evaluation
Description
The data wine in ordinal package represent a factorial experiment on factors determining the bitterness of wine
with 1 as “Least bitter”and 5 as “Most bitter”.
In this case, we supposed that eight different bottles of wine were evaluated by nine judges according to the bitterness scale described above.
It is possible to get this data using the dataframe wine included in ordinal package using table(wine$bottle,wine$rating)
Usage
data(winetable)Format
A data frame with 8 observations on 5 variables.
References
Randall J.H.(1989) The Analysis of Sensory Data by Generalized Linear Model. Biometrical Journal vol 31,issue 7, pp 781-793
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.