stream (version 2.0-1)

plot.DSD: Plot Data Stream Data

Description

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

Usage

# S3 method for 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

Michael Hahsler

See Also

Other 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(), DSD(), 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")