summary.mlds.bt: Method to Extract Bootstrap Values for MLDS Scale Values

In MLDS: Maximum Likelihood Difference Scaling

Method to Extract Bootstrap Values for MLDS Scale Values

Description

Extracts the means and standard deviations of the bootstrapped scale values from an MLDS experiment.

Usage

## S3 method for class 'mlds.bt'
summary(object, standard.scale = TRUE, sigma = FALSE, ...)

Arguments

object	object of class ‘mlds.bt’, typically obtained from running boot.mlds or boot.mlbs on an object created by mlds.
standard.scale	logical, if TRUE (default), the values are returned on the standard scale (0, 1). Otherwise, the values are returned in unnormalized units.
sigma	If TRUE and standard.scale = TRUE, the bootstrapped sigma value is printed out and its standard deviation.
...	additional arguments to summary, currently unused.

Details

Returns means and standard deviations bootstrapped values for an object of class ‘mlds.bt’. By default the values are on the standard scale but may be renormalized by the standard deviation of each bootstrap run before taking the means and standard deviations.

Value

A two column matrix is returned of the bootstrap means and standard deviations in columns 1 and 2, respectively.

Author(s)

Kenneth Knoblauch

See Also

boot.mlds

Examples

data(kk1)
kk.mlds <- mlds(kk1)
kk.bt <- boot.mlds(kk.mlds, nsim = 10)
summary(kk.bt)

MLDS documentation built on Aug. 20, 2023, 9:06 a.m.