Hi,
I'm working in crustacean maturity, using breakpoint analysis.
I used total length and Carapace length (linearly related) to find a break
point, wich is actually the size at maturity. Both sizes are measured with
error, so Modell II aplies.
Piecewise regression uses model I to find
On Mon, 30 May 2005 19:38:58 -0400 (EDT) Abhyuday Mandal wrote:
Hi,
I need to fit a piecewise linear regression.
x =
c(6.25,6.25,12.50,12.50,18.75,25.00,25.00,25.00,31.25,31.25,37.50,37.
50,50.00,50.00,62.50,62.50,75.00,75.00,75.00,100.00,100.00) y =
Hi,
I need to fit a piecewise linear regression.
x =
c(6.25,6.25,12.50,12.50,18.75,25.00,25.00,25.00,31.25,31.25,37.50,37.50,50.00,50.00,62.50,62.50,75.00,75.00,75.00,100.00,100.00)
y =
, May 30, 2005 7:38 PM
Subject: [R] Piecewise Linear Regression
Hi,
I need to fit a piecewise linear regression.
x =
c(6.25,6.25,12.50,12.50,18.75,25.00,25.00,25.00,31.25,31.25,37.50,37.50,50.00,50.00,62.50,62.50,75.00,75.00,75.00,100.00,100.00)
y =
c
It is conventional to fit piecewise linear models by assuming
Gaussian error and
using least squares methods, but one can argue that median regression
provides
a more robust approach to this problem. You might consider the
following fit:
x = c
