| summary.fsdea {adea} | R Documentation |
summary method for fsdea class
Description
Extract information from a fsdea class object and compute some more. The default tolerance to consider a DMU as efficient one is .001 in reports. Use 'eff.tolerance' parameter to consider another tolerance between 0 and 1.
Usage
## S3 method for class 'fsdea'
summary(object, ...)
Arguments
object |
is the object of class dea to summarise |
... |
For compatibility reason, see note about 'eff.tolerance' parameter. |
Value
This function returns the following information, as a named vector:
Model name: if it is previously set
Orientation: Model orientation
Inputs: Names of the input variables in the model
Outputs: Names of the output variables in the model
n: Number of DMUs
nEfficients: Number of efficient DMUs taking into account whithin eff.tolerance tolerance.
Mean: This and following statistical measure of the efficiency scores. Its mean.
sd: Its standard deviation.
Min.: Its minimun value.
1st Qu.: Its first quater.
Median: Its median.
3rd Qu.: Its third quater.
Max.: Its maximum value.
nInputs: Number of input variables to select
nOutputs: Number of output variables to select
nTotal: Total number of variables to select
iSelected: Names of the selected input variables
oSelected: Names of the selected output variables