plot.homals {Gifi} | R Documentation |
Plot Methods for Homals
Description
Various plotting options for objects of class "homals"
.
Usage
## S3 method for class 'homals'
plot(x, plot.type = "jointplot", plot.dim = c(1, 2),
var.subset = "all", col.points = rainbow_hcl(ncol(x$data)), col.scores = "gray",
col.lines = 1:x$ndim, cex.scores = 0.8, cex.loadings = 0.8, labels.scores = FALSE,
stepvec = NA, max.plot.array = NA, asp = 1, main, xlab, ylab, xlim, ylim, ...)
Arguments
x |
Object of class |
plot.dim |
Vector with dimensions to be plotted. |
plot.type |
String indicating which type of plot to be produced: |
var.subset |
Numeric vector for subsetting variables to be plotted. If missing, all variables are taken into account |
col.points |
Color categories. |
col.scores |
Color object scores. |
col.lines |
Line colors for transformation and scree plot. |
cex.scores |
Size object scores. |
cex.loadings |
Size loading labels. |
asp |
Aspect ratio |
labels.scores |
Whether object score labels should be plotted. |
stepvec |
Vector whether step function should be plotted (see details). |
max.plot.array |
Number of panels in transformation plot. |
main |
Plot title. |
type |
Type of points/lines to be plotted. |
xlab |
Label of x-axis. |
ylab |
Label of y-axis. |
xlim |
Limits for x-axis. |
ylim |
Limits for y-axis. |
... |
Further plot arguments passed: see |
Details
Plot description:
- Biplot (plot.type = "biplot"
): Biplot with the object scores and the category quantifications.
- Transformation plot (plot.type = "transplot"
): Plots the original scale against the
transformed scale (first dimension) for each variable separately.
- Joint plot (plot.type = "jointplot"
): Plots the category quantifications.
- Scree plot (plot.type = "screeplot"
): Produces a scree plot based on the eigenvalues.
- Plotting the object scores (plot.type = "objplot"
).
For transformation plots only: If stepvec = NA
, the function tries to figure out which variable should be plotted as step function. Alternatively, a boolean vector (with length number of variables) can be specified (TRUE
step function, FALSE
smooth function).
Examples
fithart <- homals(hartigan, ndim = 3, normobj.z = FALSE)
fithart
plot(fithart)
plot(fithart, var.subset = c(1,2,4), plot.dim = c(2,3))
plot(fithart, plot.type = "biplot", col.scores = "black")
plot(fithart, plot.type = "biplot", col.scores = "black", labels.scores = TRUE, col.points = 1:6)
plot(fithart, plot.type = "screeplot", col.lines = "red")
plot(fithart, plot.type = "transplot", plot.dim = 1:3, col.lines = c(1, 2, 4))
plot(fithart, plot.type = "objplot", plot.dim = 1:2, cex.scores = 0.9, col.scores = "black")