na_polish_metrics: Report metrics for missing data polishing

In earowang/mists: Missingness of Temporal Data

Description

Report metrics for missing data polishing

Usage

na_polish_metrics(before, after)

Arguments

before, after

Tsibbles before and after polishing.

Details

The metric used for measuring the effect of polishing events is prop_na * prop_removed. We'd like to minimise the loss by minimising both prop_na and prop_removed over sequential polishing events.

Value

A tibble contains:

• prop_na & nobs_na: The proportion of NAs in the sliced data (the difference between before and after).

• prop_removed, nobs_removed, nrows_removed, & ncols_removed: The proportion of removed observations over the overall observations.

See Also

Other missing value polishing functions: na_polish_auto, na_polish_measures

earowang/mists documentation built on Sept. 21, 2019, 1:12 p.m.