Plot an object of class 'FKM.predicted'

Plot an object of class 'FKM.predicted'

Usage

# S3 method for FKM.predicted
plot(
  x,
  center = TRUE,
  xmin,
  xmax,
  ntime = 100,
  lab_x,
  lab_y,
  bw = TRUE,
  title,
  title_size = 15,
  axis_label_size = 15,
  axis_title_size = 15,
  legend_label_size = 15,
  strip_label_size = 15,
  type = "raw_grid",
  ...
)

Arguments

x

An object of class 'FKM.predicted'

center

Logical expression indicating whether trajectories are centered on individual means.

xmin, xmax

Optional minimum and maximum values to show on x-axis.

ntime

Optional number of times to calculate fitted values for smoothed plots.

lab_x, lab_y

Optional labels for x- and y-axis.

bw

Logical expression for black and white graphic.

title

Optional title.

title_size

Optional title size.

axis_label_size

Optional size of axis labels.

axis_title_size

Optional size for axis titles.

legend_label_size

Optional size for legend.

strip_label_size

Optional size for strip labels on graphics.

type

Type of plot to produce. Options are "raw", "raw_grid", "smooth", and "smooth_grid".

...

Additional arguments

Value

A plot of raw or smoothed trajectories for new data by predicted cluster assignment.

Examples

data(TS.sim)

fitsplines <- TPSfit(TS.sim, vars=c("Var1", "Var2", "Var3"), time="Time",
     ID="SubjectID", knots_time=c(0, 91, 182, 273, 365), n_fit_times=10)

clusters1 <- cluster.fitted(fitsplines, k=3, m=1.3, seed=12345, RS=5, noise=TRUE)

predicted_clusters <- predict(clusters1, TS.sim.new)
plot(predicted_clusters, label_size=10, type="raw_grid")