as.mlcm.df

Coerce a data frame from an MLCM experiment to an object of class <code>mlcm.df</code>.

manip

Conjoint measurement is a psychophysical procedure in which stimulus pairs are presented that vary along 2 or more dimensions and the observer is required to compare the stimuli along one of them. This package contains functions to estimate the contribution of the n scales to the judgment by a maximum likelihood method under several hypotheses of how the perceptual dimensions interact. Reference: Knoblauch & Maloney (2012) "Modeling Psychophysical Data in R". <doi:10.1007/978-1-4614-4475-6>.

Guillermo Aguilar

MLCM

Maximum Likelihood Conjoint Measurement

Ken Knoblauch

as.mlcm.df function

<dl> <dt>d</dt>
<dd>object of class <code>data.frame</code> typically obtained from an MLCM experiment. It should have an odd number of columns and no less than 5.</dd> <dt>...</dt>
<dd>Currently unused.</dd></dl>

Arguments

Author

Coerce data frame to mlcm.df — as.mlcm.df

<dl>

 <dt>d</dt>
<dd>object of class <code>data.frame</code> typically obtained from an MLCM experiment. It should have an odd number of columns and no less than 5.</dd>

 <dt>...</dt>
<dd>Currently unused.</dd>

</dl>

as.mlcm.df: Coerce data frame to mlcm.df

Description

Usage

Value

Arguments

Author

Details

See Also