plot.DSD: Plot Data Stream Data

In stream: Infrastructure for Data Stream Mining

Plot Data Stream Data

Description

Method to plot data stream data. To plot DSC see plot.DSC().

Usage

## S3 method for class 'DSD'
plot(
  x,
  n = 500,
  col = NULL,
  pch = NULL,
  ...,
  method = c("pairs", "scatter", "pca", "ts"),
  dim = NULL,
  alpha = 0.6,
  transform = NULL
)

Arguments

x	the DSD object to be plotted.
n	number of plots taken from x to plot.
col	colors used for points.
pch	symbol type.
...	further arguments are passed on to graphics::plot.default() or graphics::pairs().
method	method used for plotting: "pairs" (pairs plot), "scatter" (scatter plot), "pca" (plot first 2 principal components), or "ts" (time series).
dim	an integer vector with the dimensions to plot. If NULL then for methods pairs and "pca" all dimensions are used and for "scatter" the first two dimensions are plotted.
alpha	alpha shading used to plot the points.
transform	a function that maps data stream points onto a 2-D plane for plotting.

Author(s)

Michael Hahsler

See Also

Other DSD: DSD(), DSD_BarsAndGaussians(), DSD_Benchmark(), DSD_Cubes(), DSD_Gaussians(), DSD_MG(), DSD_Memory(), DSD_Mixture(), DSD_NULL(), DSD_ReadDB(), DSD_ReadStream(), DSD_Target(), DSD_UniformNoise(), DSD_mlbenchData(), DSD_mlbenchGenerator(), DSF(), animate_data(), close_stream(), get_points(), reset_stream()

Other plot: animate_cluster(), animate_data(), plot.DSC()

Examples

stream <- DSD_Gaussians(k=3, d=3)

## plot data
plot(stream, n = 500)
plot(stream, method = "pca", n = 500)
plot(stream, method = "scatter", dim = c(1, 3), n = 500)

## create and plot micro-clusters
dstream <- DSC_DStream(gridsize = 0.1)
update(dstream, stream, 500)
plot(dstream)

## plot with data, projected on the first two principal components
## and dimensions 2 and 3
plot(dstream, stream)
plot(dstream, stream, method = "pca")
plot(dstream, stream, dim = c(2, 3))

## plot micro and macro-clusters
plot(dstream, stream, type = "both")

## plot a time series using the AirPassenger data with the total monthly
## passengers from 1949 to 1960) a as a stream
AirPassengers
stream <- DSD_Memory(data.frame(
  .time = time(AirPassengers),
  passengers = AirPassengers))

get_points(stream, n = 10)
plot(stream, n = 100, method = "ts")

stream documentation built on April 4, 2025, 1:02 a.m.