Nothing
###
### p o l y f i t . R Polynom
###
polyfit <- function(x, y, n = 1) {
if (!is.numeric(x) || !is.numeric(y))
stop("Arguments x and y must be numeric.")
if (length(x) != length(y))
stop("Vectors/matrices x and y must be of same length.")
if (is.null(n) || n < 0 || ceiling(n) != floor(n))
stop("Degree n must be a non-negative integer.")
x <- x[1:length(x)]; y <- y[1:length(y)]
A <- outer(x, seq(n, 0), "^")
p <- qr.solve(A, y)
return(p)
}
polyfix <- function(x, y, n, xfix, yfix)
{
stopifnot(is.numeric(x), is.numeric(y), is.numeric(xfix), is.numeric(yfix))
nfit = length(x)
if (length(y) != nfit)
stop("Arguments 'x' and 'y' must have the same length.")
nfix = length(xfix)
if (length(yfix) != nfix)
stop("Arguments 'xfix' and 'yfix' must have the same length.")
if (!is.numeric(n) || n < 0 || floor(n) != ceiling(n))
stop("Argument 'n' must be an integer.")
if (n < nfix-1) {
stop("Argument 'n' shall be greater or equal to 'nfix-1'.")
} else if (n == nfix-1) {
warning("Data points can not be taken into account.")
return(polyfit(xfix, yfix, n))
}
A <- ones(nfix, n+1)
for (i in 1:(n+1))
A[, i] <- ones(nfix, 1) * xfix^(n+1-i)
pc <- qr.solve(A[,(n+2-nfix):ncol(A)], yfix) # Satifies A*pc = yfix
pcfull <- matrix(0, n+1, 1)
pcfull[(n+2-nfix):(n+1)] <- pc
yfit <- y - polyval(pc, x)
B <- nullspace(A)
X <- matrix(0, nfit,n+1)
for(i in 1:(n+1))
X[, i] <- matrix(1, nfit,1) * x^(n+1-i)
z = qr.solve(X %*% B, yfit) # Least squares solution of X*B*z = yfit
p0 <- B %*% z # Satisfies A*p0 = 0
p <- p0 + pcfull # Satisfies A*p = b
return(c(p))
}
# polyfit2 <- function(x, y, n = 1, p0 = NULL) {
# if (!is.numeric(x) || !is.numeric(y))
# stop("Arguments 'x' and 'y' must be numeric.")
# if (length(x) != length(y))
# stop("Vectors/matrices 'x' and 'y' must be of same length.")
# if (is.null(n) || n <= 0 || ceiling(n) != floor(n))
# stop("Argument 'n', order of fit, must be a positive integer.")
# if (is.null(p0))
# return(polyfit(x, y, n = n))
# else if (!is.numeric(p0) || length(p0) != 2)
# stop("Argument 'p0' must be a numeric vector of length 2.")
#
# x0 <- p0[1]; y0 <- p0[2]
# xx <- x - x0; yy <- y - y0
#
# M <- matrix(0, length(x), n)
# M[, n] <- xx
# for (i in (n-1):1) {
# M[, i] <- xx * M[, i+1]
# }
# pt <- qr.solve(M, yy)
# pt <- c(pt, y0)
# p <- numeric(n+1)
# for (i in (n+1):1) {
# p[i] <- polyval(pt, -x0)
# pt <- polyder(pt)/(n-i+2)
# }
# return(p)
# }
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