hierarchical_clustering_cut_points: Compute cut points for a single non-CAHPS, pre-2022 measure...
In jimurick/medicarestars:
hierarchical_clustering_cut_points R Documentation
Compute cut points for a single non-CAHPS, pre-2022 measure with
Hierarchical Clustering
Description
Compute cut points for a single non-CAHPS, pre-2022 measure with
Hierarchical Clustering
Usage
hierarchical_clustering_cut_points(value_vec, higher_is_better)
Arguments
value_vec
A vector of all health plans' measure values for a given
measure and year
higher_is_better
TRUE if higher measure values mean higher star
ratings, and FALSE otherwise
Value
A dataframe with two columns: an integer star rating in 'stars', and
a float cut-off measure value for that star rating in 'cut_point'
jimurick/medicarestars documentation built on March 19, 2022, 5:35 a.m.
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| hierarchical_clustering_cut_points | R Documentation |
Compute cut points for a single non-CAHPS, pre-2022 measure with Hierarchical Clustering
Description
Compute cut points for a single non-CAHPS, pre-2022 measure with Hierarchical Clustering
Usage
hierarchical_clustering_cut_points(value_vec, higher_is_better)
Arguments
value_vec |
A vector of all health plans' measure values for a given measure and year |
higher_is_better |
TRUE if higher measure values mean higher star ratings, and FALSE otherwise |
Value
A dataframe with two columns: an integer star rating in 'stars', and a float cut-off measure value for that star rating in 'cut_point'
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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