hist_jack_step: Histogram with Jackstrap Efficiency Indicators: This function...

In jackstrap: Correcting Nonparametric Frontier Measurements for Outliers

Description

Histogram with Jackstrap Efficiency Indicators: This function builds a graphic with indicator distributions without outliers and complete sample. The outliers are defined by heaviside step function method.

Usage

hist_jack_step(efficiency, model_hist_step)

Arguments

efficiency	is the jackstrap object created by jackstrap function.
model_hist_step	is the desired graphic model. There are four kinds: 1- Density Histogram of efficiency indicators with complete sample and without outliers by heaviside step function; 2 - Histogram of efficiency with complete sample and without outliers by heaviside step function; 3 - Histogram of efficiency without ouliers by heaviside step function; 4 - Histogram of efficiency with complete sample.

Value

Return the plot with efficiency indicators with complete sample and/or without outliers by heaviside step function;

Examples

 
 
    #Build charts with efficiency indicators with jackstrap method and heaviside criterion
    hist_jack_step(efficiency, 1)
    hist_jack_step(efficiency, 2)
    hist_jack_step(efficiency, 3)
    hist_jack_step(efficiency, 4)
 

jackstrap documentation built on July 1, 2020, 6:44 p.m.