dens: Density plots
In joepowers16/rethinking: Statistical Rethinking book package

Description Usage Arguments Details Author(s) See Also

Convenient interface for plotting density estimates.

1	dens( x , adj=0.5 , norm.comp=FALSE , main="" , show.HPDI=FALSE , show.zero=FALSE , rm.na=TRUE , add=FALSE , ...)

`x`	Vector of values to construct density from, or data frame. If `x` is a data frame, then `dens` plots a grid of densities, one for each column in `x`.
`adj`	width of density kernal.
`norm.comp`	If `TRUE`, overlays normal density comparison.
`show.HPDI`	If a numeric value, displays HPDI of same width. For example, `show.HPDI=0.95` shows a 95 percent HPDI inside the density.
`show.zero`	If `TRUE`, draws a vertical line at location of zero on horizonal axis.
`rm.na`	If `TRUE`, removes `NA`s before computing density
`add`	If `TRUE`, overlays density on an existing plot
`...`	Other parameters to pass to `density`, which constructs the density estimates.

This function merely provides a convenient interface for plotting density estimates produced by density. It handles both single vectors and multiple vectors, contained within a data frame.

Highest Posterior Density Intervals (HPDI) are calculated by HPDinterval in the coda package.

Richard McElreath

density, HPDinterval

joepowers16/rethinking documentation built on June 2, 2019, 6:52 p.m.