as_measure {partition} | R Documentation |
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 partitioner
s.
partitioner
s can be created with as_partitioner()
.
Usage
as_measure(.f, ...)
Arguments
.f |
a function that returns either a numeric vector or a |
... |
Extra arguments passed to |
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(mat) {
corrs <- corr(mat)
corrs[lower.tri(corrs, diag = TRUE)] <- NA
corrs %>%
colMeans(na.rm = TRUE) %>%
mean(na.rm = TRUE)
}
measure_iir <- as_measure(inter_item_reliability)
measure_iir
[Package partition version 0.2.1 Index]