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.
# S3 method for fsdea
summary(object, ...)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
is the object of class dea to summarise
For compatibility reason, see note about `eff.tolerance` parameter.