Nothing
kern.reg.circ.circ<-function(x,y,t=NULL,bw=NULL,method="LL",from=circular(0),to=circular(2*pi),len=250){
name <- deparse(substitute(x))
datax <- x
datay <- y
if (!is.numeric(x)) stop("argument 'x' must be numeric")
if (!is.numeric(y)) stop("argument 'y' must be numeric")
if (length(x) != length(y)) stop("'x' and 'y' must have the same number of observations")
if (!is.null(t) && is.circular(t)) {
datacircularp <- circularp(t)
} else if (is.circular(x)){
datacircularp <- circularp(x)
} else if (is.circular(y)){
datacircularp <- circularp(y)
} else {
datacircularp <- list(type = "angles", units = "radians", template = "none", modulo = "2pi", zero = 0, rotation = "counter")
}
dc <- list()
dc$type <- datacircularp$type
dc$units <- datacircularp$units
dc$template <- datacircularp$template
dc$modulo <- datacircularp$modulo
dc$zero <- datacircularp$zero
dc$rotation <- datacircularp$rotation
if (is.null(t)){
if (!is.numeric(from)) stop("argument 'from' must be numeric")
if (!is.numeric(to)) stop("argument 'to' must be numeric")
if (!is.finite(from)) stop("non-finite 'from'")
if (!is.finite(to)) stop("non-finite 'to'")
if (!is.numeric(len)) stop("argument 'len' must be numeric")
if (len <= 0) stop("argument 'len' must be integer and positive")
from <- conversion.circular(from, units = "radians", zero = 0, rotation = "counter")
attr(from, "class") <- attr(from, "circularp") <- NULL
to <- conversion.circular(to, units = "radians", zero = 0, rotation = "counter")
attr(to, "class") <- attr(to, "circularp") <- NULL
if (from>to) stop("argument 'from' must be smaller than argument 'to'")
t <- circular(seq(from=from,to=to,length=len))
}else{
if (!is.numeric(t)) stop("argument 't' must be numeric")
t.na <- is.na(t)
t <- t[!t.na]
if (sum(t.na)>0) warning("'t' contains missing values. They were removed")
}
x <- conversion.circular(x, units = "radians", zero = 0, rotation = "counter", modulo = "2pi")
y <- conversion.circular(y, units = "radians", zero = 0, rotation = "counter", modulo = "2pi")
nax <- is.na(x)
nay <- is.na(y)
x<-x[!nax & !nay]
y<-y[!nax & !nay]
if ((sum(nax)+sum(nay))>0) warning("Missing values were removed.", "\n")
n <- length(x)
if (n==0) stop("No observations (at least after removing missing values)")
if (is.null(bw)){
bw <- bw.reg.circ.circ(x,y,method)
}else{
if (is.numeric(bw)){
if (bw<0){
warning("Argument 'bw' must be positive. The value of 'bw' was computed by using the plug--in rule")
bw <- bw.reg.circ.circ(x,y,method)
}
}else{
warning("Argument 'bw' must be numeric. The value of 'bw' was computed by using the plug--in rule")
bw <- bw.reg.circ.circ(x,y,method)
}
}
attr(x, "class") <- attr(x, "circularp") <- NULL
attr(y, "class") <- attr(y, "circularp") <- NULL
tt <- conversion.circular(t, dc$units, dc$type, dc$template, dc$modulo, dc$zero, dc$rotation)
t <- conversion.circular(t, units = "radians", modulo="2pi", zero = 0, rotation = "counter")
attr(t, "class") <- attr(t, "circularp") <- NULL
if (method=="NW") fhat <- RegCircCirc(x, y, t, bw, method="NW")
else fhat <- RegCircCirc(x, y, t, bw, method="LL")
fhat <- conversion.circular(circular(fhat), dc$units, dc$type, dc$template, dc$modulo, dc$zero, dc$rotation)
structure(list(datax = datax, datay = datay, x = tt, y = fhat, bw = bw, n = n, kernel = "vonmises",
call = match.call(), data.name = name, has.na = FALSE), class = "regression.circular")
}
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