Message-ID: <FF83BA46F4BA3C49A1EADAEFE9FD1B4A0A1A3ED57B@EXMBXVS1.campus.mcgill.ca>
Date: 2011-03-09T16:58:58Z
From: Aman Verma
Subject: Is there a function for comparing a modeled timeseries to the measured one?
In-Reply-To: <AANLkTikwfLSvSrJwYJyDFgLtdh+QZvGNMjHGWnkO4FdR@mail.gmail.com>
Hi Jan,
In general, R-squared can be calculated as the square of the correlation coefficient.
However, read here to understand what R-squared means in this case:
http://en.wikipedia.org/wiki/R-squared#As_squared_correlation_coefficient
aman
-----Original Message-----
From: r-sig-geo-bounces at r-project.org [mailto:r-sig-geo-bounces at r-project.org] On Behalf Of Jan Hackenberg
Sent: March 9, 2011 11:50 AM
To: r-sig-geo at stat.math.ethz.ch
Subject: [R-sig-Geo] Is there a function for comparing a modeled timeseries to the measured one?
Dear R - Users
I have 2 timeseries, one measured and one is modeled. The only function to
compare them i know is cor(model,measured). Is there perhaps another
function to produce the r squared, to prove that my model is well fit?
Thanks for your time
Jan
[[alternative HTML version deleted]]
_______________________________________________
R-sig-Geo mailing list
R-sig-Geo at r-project.org
https://stat.ethz.ch/mailman/listinfo/r-sig-geo