feature (version 1.2.2)

SiZer: SiZer plot for 1-dimensional data

Description

SiZer (Significant Zero crossings) plot for 1-dimensional data.

Usage

SiZer(x, bw, gridsize, scaleData=FALSE, signifLevel=0.05,
      plotSiZer=TRUE, logbw=TRUE, xlim, xlab, 
      addLegend=TRUE, posLegend="topright")

Arguments

x

data vector

bw

vector of range of bandwidths

gridsize

number of x- and y-axis grid points

scaleData

flag for scaling the data i.e. transforming to unit variance for each dimension.

signifLevel

significance level

plotSiZer

flag for displaying SiZer map

logbw

flag for displaying log bandwidths on y-axis

xlim

x-axis limits

xlab

x-axis label

addLegend

flag for legend display

posLegend

legend position

Value

• SiZer plot sent to graphics window.

Details

The gradient SiZer map of Chaudhuri & Marron (1999) is implemented. The horizontal axis is the data axis, the vertical axis are the bandwidths.

References

Chaudhuri, P. and Marron, J.S. (1999) SiZer for exploration of structures in curves. Journal of the American Statistical Association, 94, 807-823.

See Also

featureSignif

Examples

data(earthquake)
eq3 <- -log10(-earthquake[,3])
SiZer(eq3, xlab="-log(-depth)")
SiZer(eq3, xlab="-log(-depth)", bw=c(0.05, 1.3), gridsize=401)