Nothing
##
## t r i g r e g r e s s . R Trigonometric Regression
##
trigPoly <- function(x, m) {
stopifnot(is.numeric(x), is.numeric(m), length(m) == 1, m >= 0)
if (m == 0)
return(list(a0 = mean(x), a = c(), b = c()))
n <- length(x)
t <- seq(0, 2*(n-1)*pi/n, length.out = n)
t <- as.matrix(t)
a <- b <- numeric(m)
for (j in 1:m) {
a[j] <- x %*% cos(j*t)
b[j] <- x %*% sin(j*t)
}
a <- 2*a/n
b <- 2*b/n
a0 <- sum(x)/n
if (n == 2*m) a[m] <- a[m]/2
return(list(a0 = a0, a = a, b = b))
}
trigApprox <- function(t, x, m) {
stopifnot(is.numeric(t))
tP <- trigPoly(x, m)
a0 <- tP$a0
a <- tP$a; b <- tP$b
y <- a0
for (j in 1:m) {
y <- y + a[j]*cos(j*t) + b[j]*sin(j*t)
}
return(y)
}
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