summary.sisal {sisal}

Summarizing Sequential Input Selection Results

Description

summary method for class "sisal"

Usage

## S3 method for class 'sisal'
summary(object, ...)
## S3 method for class 'summary.sisal'
print(x, ...)

Arguments

object

an object of class "sisal".

x

an object of class "summary.sisal".

...

arguments passed to/from other methods.

Details

The functions compute and print summaries (summary.lm) of the ordinary least squares regression models stored in the object and some additional information.

Value

The function summary.sisal returns a list with class "summary.sisal", currently containing:

summ.full

summary of the full model. An object of class "summary.lm".

summ.L.v

summary of the L.v model. An object of class "summary.lm".

summ.L.f

summary of the L.f model. An object of class "summary.lm".

error.df

a data.frame containing information on the best variable sets with a given number of variables, with the following columns (copied from object):

n.inputs

number of inputs (row label).

E.tr

mean training MSE.

s.tr

standard deviation of training MSE.

E.v

mean validation MSE.

L.f.flag

logical vector where the location of TRUE points the smallest variable set with thr.flag TRUE.

L.v.flag

logical vector where the location of TRUE points the variable set with the smallest validation error.

thr.flag

logical vector where TRUE means that error is at most E.v[L.v.flag] + s.tr[L.v.flag].

The function print.summary.sisal invisibly returns x.

Author(s)

Mikko Korpela

See Also

sisal, print.sisal

Examples

foo <- testSisal(dataset="toy", Mtimes=10, hbranches=2)
summary(foo)