svycoplot: Conditioning plots of survey data

In survey: Analysis of Complex Survey Samples

Conditioning plots of survey data

Description

Draws conditioned scatterplots ('Trellis' plots) of survey data using hexagonal binning or transparency.

Usage

svycoplot(formula, design, style = c("hexbin", "transparent"), basecol =
"black", alpha = c(0, 0.8),hexscale=c("relative","absolute"), ...)

Arguments

formula	A graph formula suitable for xyplot
design	A survey design object
style	Hexagonal binning or transparent color?
basecol	The fully opaque 'base' color for creating transparent colors. This may also be a function; see svyplot for details
alpha	Minimum and maximum opacity
hexscale	Scale hexagons separate for each panel (relative) or across all panels (absolute)
...	Other arguments passed to grid.hexagons or xyplot

Value

An object of class trellis

Note

As with all 'Trellis' graphs, this function creates an object but does not draw the graph. When used inside a function or non-interactively you need to print() the result to create the graph.

See Also

svyplot

Examples

data(api)
dclus2<-svydesign(id=~dnum+snum,  weights=~pw,
                    data=apiclus2, fpc=~fpc1+fpc2)

svycoplot(api00~api99|sch.wide*comp.imp, design=dclus2, style="hexbin")
svycoplot(api00~api99|sch.wide*comp.imp, design=dclus2, style="hexbin", hexscale="absolute")

svycoplot(api00~api99|sch.wide, design=dclus2, style="trans")

svycoplot(api00~meals|stype,design=dclus2,
  style="transparent",
  basecol=function(d) c("darkred","purple","forestgreen")[as.numeric(d$stype)],
  alpha=c(0,1)) 

survey documentation built on May 3, 2023, 9:12 a.m.