plot.trajClusters: Plots 'trajClusters' objects

In traj: Clustering of Functional Data Based on Measures of Change

Plots trajClusters objects

Description

Plots the cluster-specific median and mean trajectories and a random sample of trajectories from each cluster.

Usage

## S3 method for class 'trajClusters'
plot(x, sample.size = 5, ask = TRUE, which.plots = NULL, spline = FALSE, ...)

scatterplots(x, ask = TRUE, ...)

critplot(x, ...)

Arguments

x	object of class trajClusters as returned by Step3Cluster.
sample.size	the number of random trajectories to be randomly sampled from each cluster. Defaults to 5.
ask	logical. If TRUE, the user is asked before each plot. Defaults to TRUE.
which.plots	either NULL or a vector of integers. If NULL, every available plot is displayed. If a vector is supplied, only the corresponding plots will be displayed.
spline	logical. If TRUE, each trajectory will be smoothed using smoothing splines and the median and mean trajectories will be plotted from the smoothed trajectories. Defaults to FALSE
...	other parameters to be passed through to plotting functions.

See Also

Step3Clusters

Examples

## Not run: 
data("trajdata")
trajdata.noGrp <- trajdata[, -which(colnames(trajdata) == "Group")] #remove the Group column

m = Step1Measures(trajdata.noGrp, ID = TRUE)
s = Step2Selection(m)
c3 = Step3Clusters(s, nclusters = 3)

plot(c3)

#The pointwise mean trajectories correspond to the third and fourth displayed plots.

c4 = Step3Clusters(s, nclusters = 4)

plot(c4, which.plots = 3:4)


## End(Not run)

traj documentation built on April 12, 2025, 1:59 a.m.