oce runlm function
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Introduction
As was expected, the runderiv()
function has been both useful and deficient. Useful because it offers a good replacement for smooth.spline()
calculations of derivatives for things like N^2. And deficient because it only calculated derivatives, not values!
Both an extension and a renaming were called for. The result is runlm()
.
Tests
Below are the examples from its manpage, with the results.
Case 1
1  library(oce) 
## Loading required package: methods ## Loading required package: mapproj ## Loading required package: maps
1 2 3 4 5 6 7 8  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, deriv = 0) plot(x, y, type = "l", lwd = 7, col = "gray") points(x, yn, pch = 20, col = "blue") lines(x, calc, lwd = 2, col = "red") 
Case 2
1 2 3 4 5 6 7 8 9  data(ctd) 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()")) 
Comments

The fit in Case 1 is almost spookily good.

The N^2 results suggest including this as a method for
swN2()
, perhaps the default method, but that’s for another day.
Resources
 Source code: 20140411runlm.R
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