clues (version 0.6.2.2)

plot.clues: Draw Scatter Plots or Plot of Average Trajectory per Cluster, or Both

Description

Draw scatter plots, or plot of average trajectory per cluster, or both. A simple menu will prompt for the user to choose what will be plotted.

Usage

# S3 method for clues
plot(
    x, ask = TRUE, plot.dim = NULL, 
    xlab = NULL, ylab = NULL,
    xlim = NULL, ylim = NULL, cex = NULL,
    las = NULL, lwd = NULL, 
    xlab.avg.curve = "variable",
    ylab.avg.curve = "average observation", ...)

Arguments

x

an object returend by the function clues.

ask

logical; if true, plot.clues operates in interactive mode, via menu.

plot.dim

specifies the dimensions to be plot in pair-wise scatter plots. The number of dimensions specified can be more than 2. If plot.dim is NULL, then pair-wise scatter plots of all dimensions will be plotted.

xlab

a title for the x axis. If xlab = NULL, then xlab will be set to be “”.

ylab

a title for the y-axis. If ylab = NULL, then ylab will be set to be “”.

xlim

range of x-axis. If xlim = NULL, then xlim will be set to be the range of the matrix y in the dimensions specified by plot.dim.

ylim

range of y-axis. If ylim = NULL, then ylim will be set to be the range of the matrix y in the dimensions specified by plot.dim.

cex

A numerical value giving the amount by which plotting text and symbols should be magnified relative to the default. (see par). If cex = NULL, then cex will be set to be 2.

las

numeric in \(0,1,2,3\); the style of axis labels (see par. 0 means that the labels always parallel to the axis [default]; 1 means that the labels always horizontal; 2 means that the labels always perpendicular to the axis, 3 means that the lables always vertical. If las = NULL, then las will be set to be 2.

lwd

the line width, a positive number, defaulting to 1 (see par. If lwd = NULL, the lwd will be set to be 3.

xlab.avg.curve

label for x-axis in the plot of average trajectory per cluster.

ylab.avg.curve

label for y-axis in the plot of average trajectory per cluster.

...

graphical parameters (see par).

Examples

# NOT RUN {
    # Maronna data set
    data(Maronna)
    # data matrix
    maronna <- Maronna$maronna
    # apply clues to maronna data set
    res <- clues(maronna)
    # plot
    
# }
# NOT RUN {
 plot(res) 
# }