R: Conditioning plots of survey data

svycoplot {survey} | R Documentation

## 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))

[Package survey version 3.32-1 Index]