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deaR (version 1.2.5)

plot.dea: Plot for DEA models.

Description

Plot some attribute of a DEA model (conventional, fuzzy or Malmquist).

Usage

# S3 method for dea
plot(x, showPlots = TRUE, ...)

Value

Depending on the model it returns a single data.frame containing: efficiencies, slacks, lambdas, targets, references or a list of data.frames with the cross-efficiencies computed with different methods (Arbitrary, Method II or Method III (see CITA)) or, in case the model is a malmquist index, a single data.frame with the coefficients for the different periods.

Arguments

x

An object of class "dea" obtained by a dea model function.

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 (invisiblily) as a list.

...

Ignored, for compatibility issues.

Author

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. DOI: 10.1007/978-3-319-06647-9

Examples

Run this code
data_example <- read_data(datadea = Fortune500,
                          inputs = 2:4, 
                          outputs = 5:6)
result <- model_basic(data_example)
plot(result)

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