as_measure: Create a custom metric

In partition: Agglomerative Partitioning Framework for Dimension Reduction

Description

Metrics are functions that tell how much information would be lost for a given reduction in the data. reduce. as_measure() is a helper function to create new metrics to be used in partitioners. partitioners can be created with as_partitioner().

Usage

as_measure(.f, ...)

Arguments

.f	a function that returns either a numeric vector or a data.frame
...	Extra arguments passed to .f.

Value

a function to use in as_partitioner()

See Also

Other metrics: measure_icc(), measure_min_icc(), measure_min_r2(), measure_std_mutualinfo(), measure_variance_explained()

Other metrics: measure_icc(), measure_min_icc(), measure_min_r2(), measure_std_mutualinfo(), measure_variance_explained()

Examples

inter_item_reliability <- function(.data) {
   corr(.data) %>%
    colMeans(na.rm = TRUE) %>%
    mean()
}

measure_iir <- as_measure(inter_item_reliability)
measure_iir

partition documentation built on Oct. 5, 2021, 9:06 a.m.