Conditioning plots of survey data
Draws conditioned scatterplots ('Trellis' plots) of survey data using hexagonal binning or transparency.
svycoplot(formula, design, style = c("hexbin", "transparent"), basecol =
"black", alpha = c(0, 0.8),hexscale=c("relative","absolute"), ...)formula |
A graph formula suitable for |
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 |
alpha |
Minimum and maximum opacity |
hexscale |
Scale hexagons separate for each panel (relative) or across all panels (absolute) |
... |
Other arguments passed to |
An object of class trellis
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.
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))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.