plot.LocallyWeightedPolynomial {SiZer}R Documentation

Plot a LocallyWeightedPolynomial object

Description

Creates a plot of an object created by locally.weighted.polynomial.

Usage

## S3 method for class 'LocallyWeightedPolynomial':
plot(x, derv = 0, CI.method = 2, alpha = 0.05, use.ess = TRUE, draw.points = TRUE, ...)

Arguments

x LocallyWeightedPolynomial object
derv Derivative to be plotted. Default is 0 - which plots the smoothed function.
CI.method What method should be used to calculate the confidence interval about the estimated line. The methods are from Hannig and Marron (2006), where 1 is the point-wise estimate, and 2 is the row-wise estimate.
alpha The CI has a 1-alpha/2 level of significance.
use.ess ESS stands for the estimated sample size. If at any point along the x-axis, the ESS is too small, then we will not plot unless use.ess=FALSE.
draw.points Should the data points be included in the graph?
... Additional arguments to be passed to the graphing functions.

Author(s)

Derek Sonderegger

References

Hannig, J., and J. S. Marron. 2006. Advanced distribution theory for SiZer. Journal of the American Statistical Association 101:484-499.

Sonderegger, D., Wang, H., Clements, W. H., and Noon, B. R. 2008. Using SiZer to detect thresholds in ecological data. Frontiers in Ecology and the Environment To Appear.

See Also

locally.weighted.polynomial

Examples

data('Arkansas')
x <- Arkansas$year
y <- Arkansas$sqrt.mayflies

model <- locally.weighted.polynomial(x,y)
plot(model)

model <- locally.weighted.polynomial(x,y,degree=2)
plot(model, derv=1)
plot(model, derv=2)

[Package SiZer version 0.1-0 Index]