| plot.mlcm {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, ...) ## S3 method for class 'mlcm': lines(x, standard.scale = FALSE, transpose = FALSE, ...) ## S3 method for class 'mlcm': points(x, standard.scale = FALSE, transpose = FALSE, ...)
x |
mlcm object, typically result of mlcm |
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. |
... |
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
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)