calc_missing_prop: Calculate the missing proportion of predictors by relative...

In Blockhead-yj/report.iqz: Make Potential Predction Report of IQUIZOO

Calculate the missing proportion of predictors by relative weight

Description

There is a situation that we want to make prediction for incomplete observation, which a linear model don't support. However, we try to approximately predict those incomplete observation with small missing part. So, this function is used to calculate the missing proportion of predictors, the weight fo each predictor is from relative weight analysis.

Usage

calc_missing_prop(data_wider, RelativeWeight, digits)

Arguments

data_wider	Data.frame, which each row contains all the observations of a single person.
RelativeWeight	Data.frame, generate by rwa::rwa(), contains the relative weight of each variable
digits,	Numerical, the digits missing_prop reserved

Value

A vector with length nrow(data_wider), indicate the missing proportion of predictors

Blockhead-yj/report.iqz documentation built on March 18, 2022, 5:30 a.m.