kernel_density_1d: 1d dernel density estimate.
In hadley/densityvis: Common interface to a range of density calculations.

Description Usage Arguments Details Examples

1d dernel density estimate.

1 2	kernel_density_1d(x, weight, bandwidth="bw.nrd", kernel="gaussian", n=512, na.rm=FALSE)

`x`	a numeric vector of positions
`weight`	`NULL` or a numeric vector providing weights for each observation
`bandwidth`	the banwidth. Either a numeric vector, or function that computes the binwidth given the data.
`kernel`	the kernel used for smoothing. Defaults to `"gaussian"`. See `density` for full list
`n`	number of points to use for interpolation
`na.rm`	If `TRUE` missing values will be silently removed, otherwise they will be removed with a warning.

Offers less flexibility than local_density_1d but can be much faster and has no external dependencies.

1d case uses linear interpolation on the results of density. 2d case uses a modified version of kde2d.

data(baseball, package = "plyr")
dens <- kernel_density_1d(baseball$g)
plot(dens)
plot(kernel_density_1d(baseball$g, bandwidth = 4))
plot(kernel_density_1d(baseball$g, bandwidth = 1))