SiZer {feature}R Documentation

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

Details

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

Value

SiZer plot sent to graphics window.

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)

[Package feature version 1.2.2 Index]