svysmooth: Scatterplot smoothing and density estimation

In survey: Analysis of Complex Survey Samples

Scatterplot smoothing and density estimation

Description

Scatterplot smoothing and density estimation for probability-weighted data.

Usage

svysmooth(formula, design, ...)
## Default S3 method:
svysmooth(formula, design, method = c("locpoly", "quantreg"), 
    bandwidth = NULL, quantile, df = 4, ...)
## S3 method for class 'svysmooth'
plot(x, which=NULL, type="l", xlabs=NULL, ylab=NULL,...)
## S3 method for class 'svysmooth'
lines(x,which=NULL,...)
make.panel.svysmooth(design,bandwidth=NULL)

Arguments

formula	One-sided formula for density estimation, two-sided for smoothing
design	Survey design object
method	local polynomial smoothing for the mean or regression splines for quantiles
bandwidth	Smoothing bandwidth for "locpoly" or NULL for automatic choice
quantile	quantile to be estimated for "quantreg"
df	Degrees of freedom for "quantreg"
which	Which plots to show (default is all)
type	as for plot
xlabs	Optional vector of x-axis labels
ylab	Optional y-axis label
...	More arguments
x	Object of class svysmooth

Details

svysmooth does one-dimensional smoothing. If formula has multiple predictor variables a separate one-dimensional smooth is performed for each one.

For method="locpoly" the extra arguments are passed to locpoly from the KernSmooth package, for method="quantreg" they are passed to rq from the quantreg package. The automatic choice of bandwidth for method="locpoly" uses the default settings for dpik and dpill in the KernSmooth package.

make.panel.svysmooth() makes a function that plots points and draws a weighted smooth curve through them, a weighted replacement for panel.smooth that can be passed to functions such as termplot or plot.lm. The resulting function has a span argument that will set the bandwidth; if this is not specified the automatic choice will be used.

Value

An object of class svysmooth, a list of lists, each with x and y components.

See Also

svyhist for histograms

Examples

 data(api)
 dstrat<-svydesign(id=~1,strata=~stype, weights=~pw, data=apistrat, fpc=~fpc)

 smth<-svysmooth(api00~api99+ell,dstrat)
 dens<-svysmooth(~api99, dstrat,bandwidth=30)
 dens1<-svysmooth(~api99, dstrat)
 qsmth<-svysmooth(api00~ell,dstrat, quantile=0.75, df=3,method="quantreg")

 plot(smth)
 plot(smth, which="ell",lty=2,ylim=c(500,900))
 lines(qsmth, col="red")

 svyhist(~api99,design=dstrat)
 lines(dens,col="purple",lwd=3)
 lines(dens1, col="forestgreen",lwd=2)

 m<-svyglm(api00~sin(api99/100)+stype, design=dstrat)
 termplot(m, data=model.frame(dstrat), partial.resid=TRUE, se=TRUE,
  smooth=make.panel.svysmooth(dstrat))

survey documentation built on May 29, 2024, 12:05 p.m.