blob: 0937bd90b0cd7534b6be7480192b8e9c2ff2b44e [file] [log] [blame]
# File src/library/stats/R/ksmooth.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1998-2012 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# A copy of the GNU General Public License is available at
# https://www.R-project.org/Licenses/
ksmooth <-
function(x, y, kernel = c("box", "normal"), bandwidth = 0.5,
range.x = range(x), n.points = max(100L, length(x)), x.points)
{
## box is [-0.5, 0.5]. normal is sd = 1.4826/4
if(missing(y) || is.null(y))
stop("numeric y must be supplied.\nFor density estimation use density()")
kernel <- match.arg(kernel)
krn <- switch(kernel, "box" = 1L, "normal" = 2L)
x.points <-
if(missing(x.points))
seq.int(range.x[1L], range.x[2L], length.out = n.points)
else { n.points <- length(x.points); sort(x.points) }
ord <- order(x)
.Call(C_ksmooth, x[ord], y[ord], x.points, krn, bandwidth)
}