library(oce)
# Case 1: smooth a noisy signal
x <- 1:100
y <- 1 + x / 100 + sin(x / 5)
yn <- y + rnorm(100, sd = 0.1)
L <- 4
calc <- runlm(x, y, L = L)
plot(x, y, type = "l", lwd = 7, col = "gray")
points(x, yn, pch = 20, col = "blue")
lines(x, calc$y, lwd = 2, col = "red")
# Case 2: square of buoyancy frequency
data(ctd)
par(mfrow = c(1, 1))
plot(ctd, which = "N2")
rho <- swRho(ctd)
z <- swZ(ctd)
zz <- seq(min(z), max(z), 0.1)
N2 <- -9.8 / mean(rho) * runlm(z, rho, zz, deriv = 1)
lines(N2, -zz, col = "red")
legend("bottomright",
lwd = 2, bg = "white",
col = c("black", "red"),
legend = c("swN2()", "using runlm()")
)
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