jackstrap (version 0.1.0)

hist_jack_step: 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.

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

# NOT RUN {
 
# }
# NOT RUN {
 
# }
# NOT RUN {
    #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)
 
# }