Re: [R] gls prediction using the correlation structure in nlme

On Wed, Jan 28, 2009 at 9:51 AM, Dr Carbon wrote: > How does one coerce predict.gls to incorporate the fitted correlation > structure from the gls object into predictions? In the example below > the AR(1) process with phi=0.545 is not used with predict.gls. Is > there another functi

[R] gls prediction using the correlation structure in nlme

How does one coerce predict.gls to incorporate the fitted correlation structure from the gls object into predictions? In the example below the AR(1) process with phi=0.545 is not used with predict.gls. Is there another function that does this? I'm going to want to fit a few dozen models varying in

[R] coerce data.frame with table-like data to a table for use with barchart.table

I have a data.frame containing survey data that is already organized like a table: > foo Excellent Very Good Good Fair Poor Very Poor Question 1 8 7300 0 Question 2 5 5710 0 Question 3 71010

[R] csaps in R port from Octave?

Since I'm getting no joy looking for an R implementation of the matlab function csaps, can anybody advise me on porting csaps from Octave? There is an octave implementation of csaps here: http://octave.svn.sourceforge.net/viewvc/octave/trunk/octave-forge/nonfree/spline-gsvspl/inst/csaps.m This fu

[R] csaps in R?

Is there is function in R equivalent to Matlab's csaps? I need a spline function with the same calculation of the smoothing parameter in csaps to compare some results. AFAIK, the spar in smooth.spline is related but not the same. __ R-help@r-project.org