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#############################################################
# #
# Original Splus: Ulric Lund #
# E-mail: ulund@calpoly.edu #
# #
#############################################################
#############################################################
# #
# lsfit.circle function #
# Author: Claudio Agostinelli #
# E-mail: claudio@unive.it #
# Date: May, 27, 2006 #
# Version: 0.3 #
# #
# Copyright (C) 2006 Claudio Agostinelli #
# #
#############################################################
lsfit.circle <- function(x, y=NULL, init=NULL, units=c("radians", "degrees"), template=c("none", "geographics"), modulo=c("asis", "2pi", "pi"), zero=0, rotation=c("counter", "clock"), ...) {
type <- "angles"
units <- match.arg(units)
template <- match.arg(template)
modulo <- match.arg(modulo)
rotation <- match.arg(rotation)
if (is.null(y)) {
if (NCOL(x)==2) {
y <- x[,2]
x <- x[,1]
} else {
stop("Must be either 'x' a matrix with two columns or 'x' and 'y' a vector")
}
}
x <- as.vector(x)
y <- as.vector(y)
if (length(x)!=length(y)) {
stop("'x' and 'y' must have the same length")
}
# Handling missing values
ok <- complete.cases(x, y)
x <- x[ok]
y <- y[ok]
if (length(y)==0) {
warning("No observations (at least after removing missing values)")
return(NULL)
}
result <- LsfitCircleRad(x, y, init, ...)
result$angles <- conversion.circular(circular(result$angles), units, type, template, modulo, zero, rotation)
result$call <- match.call()
class(result) <- "lsfit.circle"
return(result)
}
LsfitCircleRad <- function(x, y, init, ...) {
if (is.null(init)) {
x.mean <- mean.default(x)
y.mean <- mean.default(y)
est.r <- max(c(abs(x-x.mean), abs(y-y.mean)))
init <- c(est.r, x.mean, y.mean)
}
obj.fun <- function(p, x, y){
sum((p[1]-sqrt((x-p[2])^2 + (y-p[3])^2))^2)
}
grad.fun <- function(p, x, y){
n <- length(x); r <- p[1]; a <- p[2]; b <- p[3]
common <- sqrt((x-a)^2 + (y-b)^2)
g.e1 <- 2*n*r - 2 * sum(common)
g.e2 <- 2*n*a - 2*sum(x) + 2 * r * sum((x-a)/common)
g.e3 <- 2*n*b - 2*sum(y) + 2 * r * sum((y-b)/common)
# NO HESSIAN is used by optim
# h.e11 <- 2*n
# h.e21 <- 2*sum((x-a)/common)
# h.e22 <- 2*n - 2*r*sum((y-b)^2/common^3)
# h.e31 <- 2*sum((y-b)/common)
# h.e32 <- 2*r*sum((x-a)*(y-b)/common^3)
# h.e33 <- 2*n - 2*r*sum((x-a)^2/common^3)
# pppp <- list(gradient=c(g.e1, g.e2, g.e3), hessian=c(h.e11, h.e21, h.e22, h.e31, h.e32, h.e33))
return(c(g.e1, g.e2, g.e3))
}
# nlminb(start = init, obj = obj.fun, gradient = grad.fun, hessian=TRUE, x = x, y = y, ...)
res <- optim(par=init, fn=obj.fun, gr=grad.fun, hessian=TRUE, x = x, y = y, method ="BFGS", ...)
result <- list()
result$coefficients <- res$par
names(result$coefficients) <- c("r", "a", "b")
result$x <- x
result$y <- y
result$x.centered <- x - res$par[2]
result$y.centered <- y - res$par[3]
result$angles <- atan2(y=result$y.centered, x=result$x.centered)
result$radius <- sqrt(result$x.centered^2+result$y.centered^2)
result$convergence <- res$convergence
result$optim <- res
return(result)
}
#############################################################
# #
# print.lsfit.circle function #
# Author: Claudio Agostinelli #
# E-mail: claudio@unive.it #
# Date: April, 27, 2005 #
# Version: 0.1-1 #
# #
# Copyright (C) 2005 Claudio Agostinelli #
# #
#############################################################
print.lsfit.circle <- function(x, digits = max(3, getOption("digits") - 3), ...) {
cat("\nCall:\n",deparse(x$call),"\n\n",sep="")
coef <- matrix(x$coefficients, nrow=1)
dimnames(coef) <- list(" Coeff: ", c("r", "a", "b"))
print.default(format(coef, digits=digits),
print.gap = 2, quote = FALSE)
cat("\n Summary in Rectangular Coordinates \n")
print(summary(data.frame(x=x$x, y=x$y)))
cat("\n Summary in Polar Coordinates of Recentered Observations \n")
print(summary(data.frame(angles=x$angles, radius=x$radius)))
if (x$convergence) {
cat("Warnings: convergence problems in 'optim': ", x$convergence, "\n\n")
}
invisible(x)
}
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