plot.mlcm | R Documentation |
Plots the conjoint measurement scale(s) as a function of stimulus level.
## S3 method for class 'mlcm' plot(x, standard.scale = FALSE, transpose = FALSE, SD.scale = FALSE, ...) ## S3 method for class 'mlcm' lines(x, standard.scale = FALSE, transpose = FALSE, SD.scale = FALSE, ...) ## S3 method for class 'mlcm' points(x, standard.scale = FALSE, transpose = FALSE, SD.scale = FALSE, ...)
x |
|
standard.scale |
logical indicating whether the plotted scales should be normalized so that the maximum scale value is 1 |
transpose |
logical, indicating whether to transpose the matrix of the perceptual scale, when the full model is fit. Not defined if there are more than 2 dimensions. |
SD.scale |
logical indicating whether to plot results in units of d', the signal detection measure of signal strength in which the variance for each stimulus level is unity. Ignored if |
... |
other parameters to be passed through to the plotting function. |
These functions use matplot
, matlines
and matpoints
so their help page should be examined for information on additional parameters that can be specified.
Kenneth Knoblauch
matplot
plot(mlcm(BumpyGlossy), type = "b") bg.full <- mlcm(BumpyGlossy, model = "full") opar <- par(mfrow = c(1, 2), pty = "s") plot(bg.full, type = "b", xlab = "Gloss Level", ylab = "Bumpiness Model Estimates") plot(bg.full, transpose = TRUE, type = "b", xlab = "Bumpiness Level", ylab = "Glossiness Model Estimates") par(opar)
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