Construct a validated DEA panel-data object

dea_panel_data() is the panel (multi-period) counterpart of dea_data: it records, once, which columns of a long-format data frame identify the DMU and the period and which are the inputs and outputs, validates the panel structure, and returns an object that the plot_panel_* functions accept directly – so the column mapping does not have to be repeated in every call.

Usage

dea_panel_data(
  data,
  inputs = NULL,
  outputs = NULL,
  id = "Label",
  period = "Period"
)

Arguments

data

A data frame in long format: one row per DMU-period.

inputs, outputs

Column selectors (names or integer positions) for the inputs and outputs. If NULL (default), columns prefixed i_ / o_ are used.

id, period

Columns (name or position) identifying the DMU and the period. Defaults "Label" and "Period".

Value

An object of class dea_panel_data: a list with the validated data plus the resolved inputs, outputs, id and period column names, the DMU labels, the sorted periods, and a balanced flag.

Details

Validation: id and period must each name a single column with no missing values, each DMU may appear at most once per period, and all input/output columns must be numeric. As in dea_data, when inputs/outputs are not given, columns prefixed i_ / o_ are detected automatically.

See also

dea_data, plot_panel_io_biplot, plot_panel_io_parcoo

Examples

pd <- dea_panel_data(taiwanese_banks, inputs = 3:5, outputs = 6:8,
                     id = "DMU", period = "Year")
pd
#> A DEA panel: 22 DMUs x 3 periods (balanced) 
#>   periods: 2009, 2010, 2011 
#>   inputs:  labour, physical_capital, purchased_funds 
#>   outputs: demand_deposits, short_term_loans, long_term_loans