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% File src/library/stats/man/loess.control.Rd
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% File src/library/stats/man/loess.control.Rd
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% Part of the R package, https://www.R-project.org
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% Part of the R package, https://www.R-project.org
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% Copyright 1995-2011 R Core Team
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% Copyright 1995-2015 R Core Team
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% Distributed under GPL 2 or later
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% Distributed under GPL 2 or later
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\name{loess.control}
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\name{loess.control}
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\title{Set Parameters for Loess}
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\title{Set Parameters for Loess}
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\usage{
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\usage{
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loess.control(surface = c("interpolate", "direct"),
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loess.control(surface = c("interpolate", "direct"),
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statistics = c("approximate", "exact"),
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statistics = c("approximate", "exact", "none"),
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trace.hat = c("exact", "approximate"),
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trace.hat = c("exact", "approximate"),
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cell = 0.2, iterations = 4, \dots)
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cell = 0.2, iterations = 4, iterTrace = FALSE, \dots)
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}
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}
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\alias{loess.control}
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\alias{loess.control}
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\arguments{
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\arguments{
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\item{surface}{should the fitted surface be computed exactly or via
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\item{surface}{should the fitted surface be computed exactly
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interpolation from a kd tree? Can be abbreviated.}
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(\code{"direct"}) or via interpolation from a kd tree? Can be abbreviated.}
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\item{statistics}{should the statistics be computed exactly or
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\item{statistics}{should the statistics be computed exactly,
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approximately? Exact computation can be very slow. Can be abbreviated.}
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approximately or not at all? Exact computation can be very slow.
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Can be abbreviated.}
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\item{trace.hat}{should the trace of the smoother matrix be computed
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\item{trace.hat}{Only for the (default) case \code{(surface =
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"interpolate", statistics = "approximate")}: should the trace of
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exactly or approximately? It is recommended to use the approximation
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the smoother matrix be computed exactly or approximately? It is recommended to use the approximation
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for more than about 1000 data points. Can be abbreviated.}
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for more than about 1000 data points. Can be abbreviated.}
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\item{cell}{if interpolation is used this controls the accuracy of the
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\item{cell}{if interpolation is used this controls the accuracy of the
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approximation via the maximum number of points in a cell in the kd
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approximation via the maximum number of points in a cell in the kd
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tree. Cells with more than \code{floor(n*span*cell)} points are subdivided.}
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tree. Cells with more than \code{floor(n*span*cell)} points are subdivided.}
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\item{iterations}{the number of iterations used in robust fitting.}
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\item{iterations}{the number of iterations used in robust fitting,
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i.e. only if \code{family} is \code{"symmetric"}.}
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\item{iterTrace}{logical (or integer) determining if tracing
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information during the robust iterations (\code{iterations}\eqn{\ge
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2}{>= 2}) is produced.}
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\item{\dots}{further arguments which are ignored.}
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\item{\dots}{further arguments which are ignored.}
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}
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}
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\description{
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\description{
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Set control parameters for \code{loess} fits.
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Set control parameters for \code{loess} fits.
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}
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}
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\value{
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\value{
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\item{surface}{}
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\item{surface}{}
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\item{statistics}{}
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\item{statistics}{}
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\item{trace.hat}{}
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\item{trace.hat}{}
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\item{cell}{}
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\item{cell}{}
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\item{iterations}{}
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\item{iterations}{}
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\item{iterTrace}{}
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with meanings as explained under \sQuote{Arguments}.
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with meanings as explained under \sQuote{Arguments}.
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}
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}
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\seealso{\code{\link{loess}}}
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\seealso{\code{\link{loess}}}
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\keyword{smooth}
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\keyword{smooth}
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\keyword{loess}
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\keyword{loess}
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