deaR (version 1.2.5)

summary.dea: Summary conventional DEA models.

Description

Summary of the results obtained by a conventiona DEA model.

Usage

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

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

object

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

exportExcel

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

filename

Character string. Absolute filename (including path) of the exported Excel file. If NULL, then the name of the file 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.

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

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. https://pubsonline.informs.org/doi/abs/10.1287/mnsc.27.6.668

Examples

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