Hi,
To calculate the mean of binned data from an arbitrary length vector 'd',
the following works:
d1 <- runif( 67,0,9 )
while( length(d1) %% 5 != 0 ) {
d1 <- d1[-length(d1)]
}
dmean1 <- apply( matrix(d1, 5), 2, mean )
Unfortunately, this means dropping (two) data points from the end before I
can execute:
sqrt( mean( dmean1 - dmean2 ) ^ 2 )
Where 'dmean2' is an array of values constructed from running GAM on
'dmean1'.
What is a better way to do this?
Many thanks!
Dave
[[alternative HTML version deleted]]
______________________________________________
[email protected] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
