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angry
2010 Jun 18
4
Root mean square on binned GAM results
...n (RMSD) calculation on binned data.
For example, let 'o' be the real, observed data and 'm' be the model data. I
believe I can calculate the root mean squared deviation as:
sqrt( mean( o - m ) ^ 2 )
However, this does not bin the data into mean sets. What I would like to do
is:
oangry <- c( mean(o[1:5]), mean(o[6:10]), ... )
mangry <- c( mean(m[1:5]), mean(m[6:10]), ... )
Then:
sqrt( mean( oangry - mangry ) ^ 2 )
That calculation I would like to simplify into (or similar to):
sqrt( mean( bin( o, 5 ) - bin( m, 5 ) ) ^ 2 )
I have read the help for ?cut, ?table, ?hist, a...