summary.dea {deaR}

Summary conventional DEA models.

Description

Summary of the results obtained by a conventional DEA model.

Usage

## S3 method for class 'dea'
summary(object, exportExcel = FALSE, filename = NULL, returnList = FALSE, ...)

Arguments

object

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

exportExcel

Logical value. If TRUE (FALSE by default) the results are also exported to an Excel file.

filename

Character string. Absolute file name (including path) of the exported Excel file. If NULL, then the file name will be "ResultsDEA" + timestamp.xlsx.

returnList

Logical value. If TRUE then the results are given as a list of data frames. If FALSE (default) all the data frames are merged into a single data frame.

...

Ignored. Used for compatibility issues.

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.

Author(s)

Vicente Coll-Serrano ([e-mail]). Quantitative Methods for Measuring Culture (MC2). Applied Economics.

Vicente Bolós ([e-mail]). Department of Business Mathematics

Rafael Benítez ([e-mail]). Department of Business Mathematics

University of Valencia (Spain)

References

Charnes, A.; Cooper, W.W.; Rhodes, E. (1981). "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through", Management Science, 27(6), 668-697. doi:10.1287/mnsc.27.6.668

Examples

data("PFT1981") 
# Selecting DMUs in Program Follow Through (PFT)
PFT <- PFT1981[1:49, ] 
PFT <- make_deadata(PFT, 
                    inputs = 2:6, 
                    outputs = 7:9 )
eval_pft <- model_basic(PFT, 
                        orientation = "io", 
                        rts = "crs")
summary(eval_pft)