perfume_qda_experts: Perfume QDA Experts
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 12 expert panelists using predefined lexicons
Usage
1
Format
An object of class spec_tbl_df (inherits from tbl_df, tbl, data.frame) with 288 rows and 16 columns.
Details
- panelist
panelists' id
- product
perfumes
- session
code of sensory evalutation session
- rank
presentation order
- spicy-wrapping
lexicons regarding perfume
Source
Analyzing Sensory Data with R www.sensorywithr.org
aswansyahputra/sensehubr documentation built on March 12, 2021, 9:45 a.m.
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Description Usage Format Details Source
Description
This dataset containing information about 12 perfumes that evaluated by 12 expert panelists using predefined lexicons
Usage
1 |
Format
An object of class spec_tbl_df (inherits from tbl_df, tbl, data.frame) with 288 rows and 16 columns.
Details
- panelist
panelists' id
- product
perfumes
- session
code of sensory evalutation session
- rank
presentation order
- spicy-wrapping
lexicons regarding perfume
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.
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