summary.mlds.bt

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

methods

Difference scaling is a method for scaling perceived
supra-threshold differences.  The package contains functions that
allow the user to design and run a difference scaling experiment,
to fit the resulting data by maximum likelihood and test the
internal validity of the estimated scale.

Ken Knoblauch

MLDS

Maximum Likelihood Difference Scaling

summary.mlds.bt function

<dl> <dt>object</dt>
<dd>object of class &#8216;mlds.bt&#8217;, typically obtained from running <code>boot.mlds</code> or <code>boot.mlbs</code> on an object created by <code>mlds</code>.</dd> <dt>standard.scale</dt>
<dd>logical, if TRUE (default), the values are returned on the standard scale (0, 1). Otherwise, the values are returned in unnormalized units.</dd> <dt>sigma</dt>
<dd>If TRUE and <code>standard.scale = TRUE</code>, the bootstrapped <code>sigma</code> value is printed out and its standard deviation.</dd> <dt>...</dt>
<dd>additional arguments to summary, currently unused.</dd></dl>

Arguments

Author

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

<dl>

 <dt>object</dt>
<dd>object of class &#8216;mlds.bt&#8217;, typically obtained from running <code>boot.mlds</code> or <code>boot.mlbs</code> on an object created by <code>mlds</code>.</dd>

 <dt>standard.scale</dt>
<dd>logical, if TRUE (default), the values are returned on the standard scale (0, 1). Otherwise, the values are returned in unnormalized units.</dd>

 <dt>sigma</dt>
<dd>If TRUE and <code>standard.scale = TRUE</code>, the bootstrapped <code>sigma</code> value is printed out and its standard deviation.</dd>

 <dt>...</dt>
<dd>additional arguments to summary, currently unused.</dd>

</dl>

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

Description

Usage

Value

Arguments

Author

Details

See Also

Examples