deaR (version 1.4.1)

plot.dea: Plot for DEA models.

Description

Plot some attribute of a DEA model.

Usage

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

Value

Depending on the model, it returns some plots.

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.

Author

Vicente Coll-Serrano (). Quantitative Methods for Measuring Culture (MC2). Applied Economics.

Vicente Bolós (). Department of Business Mathematics

Rafael Benítez (). 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. 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)