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MLCM (version 0.0-3)

plot.mlcm.df: Create Conjoint Proportion Plot from mlcm.df Object

Description

Creates a conjoint proportions plot as in Ho et al. (2008) in which the proportion of responses of one type are indicated as a function of the stimulus pairs used in the experiment.

Usage

## S3 method for class 'mlcm.df':
plot(x, clr = NULL, ...)

Arguments

Value

  • Currently, nothing is returned. Used for its side-effect of producing a plot.

Details

The input should be a data frame of class mlcm.df that contains 5 columns. The first column contains the responses of the observer. The next two correspond to the indices of the stimuli along the first dimensions and the last two the indices of the two stimuli along the second dimension. The plot shows a color-coded (grey-level by default) map of the proportion of responses for each combination of indices in one stimulus with respect to the combinations of the indices in the other. There should be several replications of each pairing for the plot to make some sense.

References

Ho, Y. H., Landy. M. S. and Maloney, L. T. (2008). Conjoint measurement of gloss and surface texture. Psychological Science, 19, 196--204.

See Also

image

Examples

Run this code
data(BumpyGlossy)
	plot(BumpyGlossy, 
		xlab = expression(paste("Surface ", S[ij], 
		"Gloss Level (i) and Bump level (j)")),
		ylab = expression(paste("Surface ", S[kl], 
		"Gloss Level (k) and Bump level (l)")) 
	)

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