car (version 2.0-18)

densityPlot: Nonparametric Density Estimates

Description

densityPlot contructs and graphs nonparametric density estimates, possibly conditioned on a factor. It is a wrapper for the standard R

Usage

densityPlot(x, ...)

## S3 method for class 'default':
densityPlot(x, g, bw = "SJ", adjust=1,
    kernel = c("gaussian", "epanechnikov", "rectangular", 
               "triangular", "biweight", "cosine", "optcosine"),
    xlab = deparse(substitute(x)), ylab = "Density", col = palette(), 
    lty = seq_along(col), lwd = 2, grid=TRUE,
    legend.location = "topright", legend.title = deparse(substitute(g)), 
    show.bw = FALSE, rug = TRUE, ...)
    
## S3 method for class 'formula':
densityPlot(formula, data = NULL, subset, na.action = NULL, xlab, ylab, ...)

Arguments

x

a numeric variable, the density of which is estimated.

g

an optional factor to divide the data.

formula

an R

Value

• These functions return NULL invisibly and draw graphs.

code

plot

item

• data
• subset
• na.action
• bw
• adjust
• kernel
• xlab
• ylab
• col
• lty
• lwd
• grid
• legend.location
• legend.title
• show.bw
• rug
• ...

References

W. N. Venables and B. D. Ripley (2002) Modern Applied Statistics with S. New York: Springer.

See Also

density, bw.SJ, link{plot.density}

Examples

densityPlot(~ income, show.bw=TRUE, data=Prestige)
densityPlot(income ~ type, data=Prestige)