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deaR (version 1.2.5)

Libraries: Data: Cooper, Seiford and Tone (2007).

Description

Data for 23 public libraries of the Tokyo Metropolitan Area in 1986.

Usage

data("Libraries")

Arguments

Format

Data frame with 23 rows and 7 columns. Definition of inputs (X) and outputs (Y):

x1 = AREA

Floor area (unit=1000 m2)

x2 = BOOKS

Number of books (unit=1000)

x3 = STAFF

Staff

x4 = POPULATION

Population (unit=1000)

y1 = REGISTERED

Registered residents (unit=1000)

y2 = BORROWED

Borrowed books (unit=1000)

Author

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

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

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

University of Valencia (Spain)

See Also

read_data, model_basic

Examples

Run this code
# Example 1. Non-controllable input (POPULATION).
# Replication of results in Cooper, Seiford and Tone (2007, p.221)
data(Libraries)
# POPULATION (non-controllable input) is the forth input.
data_example <- read_data(Libraries,
                          dmus=1,
                          inputs=2:5,
                          nc_inputs=4,
                          outputs=6:7)
result <- model_basic(data_example,
                      orientation="io",
                      rts="crs")
efficiencies(result)
targets(result)

# Example 2. Non-discretionary input (POPULATION).
data(Libraries)
# POPULATION (non-controllable input) is the forth input.
data_example2 <- read_data(Libraries,
                           dmus=1,
                           inputs=2:5,
                           nd_inputs=4,
                           outputs=6:7)
result2 <- model_basic(data_example2,
                       orientation="io",
                       rts="crs")
efficiencies(result2)
targets(result2)

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