potato_visual: Potato weights assessed visually
In BayesMallows: Bayesian Preference Learning with the Mallows Rank Model
potato_visual R Documentation
Potato weights assessed visually
Description
Result of ranking potatoes by weight, where the assessors were only allowed
to inspected the potatoes visually. 12 assessors ranked 20 potatoes.
Usage
potato_visual
Format
An object of class matrix (inherits from array) with 12 rows and 20 columns.
References
\insertRefliu2019BayesMallows
See Also
Other datasets:
beach_preferences,
bernoulli_data,
cluster_data,
potato_true_ranking,
potato_weighing,
sushi_rankings
BayesMallows documentation built on Sept. 11, 2024, 5:31 p.m.
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| potato_visual | R Documentation |
Potato weights assessed visually
Description
Result of ranking potatoes by weight, where the assessors were only allowed to inspected the potatoes visually. 12 assessors ranked 20 potatoes.
Usage
potato_visual
Format
An object of class matrix (inherits from array) with 12 rows and 20 columns.
References
\insertRefliu2019BayesMallows
See Also
Other datasets:
beach_preferences,
bernoulli_data,
cluster_data,
potato_true_ranking,
potato_weighing,
sushi_rankings
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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