plot.DSD | R Documentation |
Method to plot data stream data. To plot DSC see plot.DSC()
.
## 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 )
x |
the DSD object to be plotted. |
n |
number of plots taken from |
col |
colors used for points. |
pch |
symbol type. |
... |
further arguments are passed on to |
method |
method used for plotting: |
dim |
an integer vector with the dimensions to plot. If |
alpha |
alpha shading used to plot the points. |
transform |
a function that maps data stream points onto a 2-D plane for plotting. |
Michael Hahsler
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()
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")
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