partition (version 0.1.0)

as_measure: Create a custom metric

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

# NOT RUN {
inter_item_reliability <- function(.data) {
   corr(.data) %>%
    colMeans(na.rm = TRUE) %>%
    mean()
}

measure_iir <- as_measure(inter_item_reliability)
measure_iir

# }