perfume_jar: Perfume QDA Consumers
In aswansyahputra/sensehubr: A Tidy Approach for Sensory Analyses
Description
Usage
Format
Details
Source
Description
This dataset containing information about 12 perfumes that evaluated by 103 consumer panelists using predefined lexicons
Usage
1
Format
An object of class spec_tbl_df (inherits from tbl_df, tbl, data.frame) with 1236 rows and 24 columns.
Details
- consumer
consumers' id
- product
perfumes
- freshness-green
lexicons regarding perfume, using JAR scale with 0 as JAR value
- liking
hedonic liking score
Source
Analyzing Sensory Data with R www.sensorywithr.org
aswansyahputra/sensehubr documentation built on March 12, 2021, 9:45 a.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.
Description Usage Format Details Source
Description
This dataset containing information about 12 perfumes that evaluated by 103 consumer panelists using predefined lexicons
Usage
1 |
Format
An object of class spec_tbl_df (inherits from tbl_df, tbl, data.frame) with 1236 rows and 24 columns.
Details
- consumer
consumers' id
- product
perfumes
- freshness-green
lexicons regarding perfume, using JAR scale with 0 as JAR value
- liking
hedonic liking score
Source
Analyzing Sensory Data with R www.sensorywithr.org
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.