summary_jackstrap: Summary Jackstrap: This function shows the main outcomes with...

In jackstrap: Correcting Nonparametric Frontier Measurements for Outliers

Description

Summary Jackstrap: This function shows the main outcomes with outlier technique developed by Sousa and Stosic(2005).

Usage

summary_jackstrap(object_jackstrap, data)

Arguments

object_jackstrap	is the jackstrap object created by jackstrap function.
data	is the dataset of research.

Value

Return the data frame with information as follows: "outliers_by_step_func" are the outliers by heaviside step function criterion; "outliers_by_ks" are the outliers by K-S test; "dmu_efficiency_by_step_func" are DMUs evaluated as efficient by heaviside step function criterion; "dmu_inefficiency_by_step_func" are the DMUs evaluated as maximum inefficient by heaviside step function criterion; "dmu_efficiency_ks" are DMUs evaluated as efficient by K-S test criterion; "dmu_inefficiency_by_ks" are the DMUs evaluated as maximum inefficient by K-S test criterion.

Examples

 
 
    #Create object with the resume of efficiency measurement.
    summary_efficiency <- summary_jackstrap(efficiency_ks, municipalities)
 

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