panelperf: panel performance for descriptive Sensory Tests
In laynelv/isenso: intelligent sensory tests: a package of R programming for food sensory & consumer evaluations.
Description
Usage
Arguments
Examples
Description
Compute attribute~Product*Panelist two-way ANOVAs
If p-value> 0.05,The panel was not discriminant.This can be due to a lack of difference among the products on this particular attribute. If it'S a key attribute, re-train the panel.the bars will be red.
If p-value<= 0.05,The panel was discriminant for the given attribute.the bars will be blue.
Usage
1
Arguments
data
a dataframe, it's structure as same as the 'chocolate',colomns are Product,Panelist,Session,attribute01,attribute02......
Examples
1
2
3
laynelv/isenso documentation built on May 20, 2019, 8:26 p.m.
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Description Usage Arguments Examples
Description
Compute attribute~Product*Panelist two-way ANOVAs
If p-value> 0.05,The panel was not discriminant.This can be due to a lack of difference among the products on this particular attribute. If it'S a key attribute, re-train the panel.the bars will be red.
If p-value<= 0.05,The panel was discriminant for the given attribute.the bars will be blue.
Usage
1 |
Arguments
data |
a dataframe, it's structure as same as the 'chocolate',colomns are Product,Panelist,Session,attribute01,attribute02...... |
Examples
1 2 3 |
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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