R: Set Parameters for Loess

loess.control {stats}

R Documentation

Set Parameters for Loess

Description

Set control parameters for loess fits.

Usage

loess.control(surface = c("interpolate", "direct"),
              statistics = c("approximate", "exact", "none"),
              trace.hat = c("exact", "approximate"),
              cell = 0.2, iterations = 4, iterTrace = FALSE, ...)

Arguments

`surface`	should the fitted surface be computed exactly (`"direct"`) or via interpolation from a kd tree? Can be abbreviated.
`statistics`	should the statistics be computed exactly, approximately or not at all? Exact computation can be very slow. Can be abbreviated.
`trace.hat`	Only for the (default) case `(surface = "interpolate", statistics = "approximate")`: should the trace of the smoother matrix be computed exactly or approximately? It is recommended to use the approximation for more than about 1000 data points. Can be abbreviated.
`cell`	if interpolation is used this controls the accuracy of the approximation via the maximum number of points in a cell in the kd tree. Cells with more than `floor(nspancell)` points are subdivided.
`iterations`	the number of iterations used in robust fitting, i.e. only if `family` is `"symmetric"`.
`iterTrace`	logical (or integer) determining if tracing information during the robust iterations (`iterations`>= 2) is produced.
`...`	further arguments which are ignored.

Value

A list with components

`surface`
`statistics`
`trace.hat`
`cell`
`iterations`
`iterTrace`

with meanings as explained under ‘Arguments’.

Set Parameters for Loess

Description

Usage

Arguments

Value

See Also