plot.dea: Plot for DEA models.
In deaR: Conventional and Fuzzy Data Envelopment Analysis

plot.dea

R Documentation

Plot for DEA models.

Description

Plot some attribute of a DEA model.

Usage

## S3 method for class 'dea'
plot(x, tol = 1e-04, showPlots = TRUE, ...)

Arguments

`x`	An object of class `dea` obtained by a DEA model function.
`tol`	Numeric. Absolute tolerance for numeric comparisons. By default, it is 1e-4.
`showPlots`	Logical. When TRUE (default) the plots are shown one by one. When it is FALSE the plots are not shown and are returned by the function (invisibly) as a list.
`...`	Ignored, for compatibility issues.

Value

Depending on the model, it returns some plots.

Author(s)

Vicente Coll-Serrano (vicente.coll@uv.es). Quantitative Methods for Measuring Culture (MC2). Applied Economics.

Vicente Bolós (vicente.bolos@uv.es). Department of Business Mathematics

Rafael Benítez (rafael.suarez@uv.es). Department of Business Mathematics

University of Valencia (Spain)

References

Zhu, J. (2014). Quantitative Models for Performance Evaluation and Benchmarking. Data Envelopment Analysis with Spreadsheets. 3rd Edition Springer, New York. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-319-06647-9")}

Examples

data_example <- make_deadata(datadea = Fortune500,
                             inputs = 2:4, 
                             outputs = 5:6)
result <- model_basic(data_example)
plot(result)

deaR documentation built on May 2, 2023, 5:13 p.m.