[R] gss package - predict.ssanova
Chong Gu
chong at stat.purdue.edu
Mon May 7 18:39:24 CEST 2001
Here is the information about this objects.
> recs.spliney
Call:
ssanova(formula = recs.mds[[1]][, 2] ~ recs.loc$x * recs.loc$y, type = "tp")
Terms:
[1] "1" "recs.loc$x" "recs.loc$y"
[4] "recs.loc$x:recs.loc$y"
Number of fixed and random effects:
Fixed Random
1 1 0
recs.loc$x 1 1
recs.loc$y 1 1
recs.loc$x:recs.loc$y 1 3
total 4 5
Smoothing parameters are selected by GCV.
> is.data.frame(recn.grid)
[1] TRUE
> names(recn.grid)
[1] "x" "y"
Regards
EJ
The variables in the fit are "recs.loc$x" and "recs.loc$y", but the
variables in recn.grid are "x" and "y".
BTW, are recs.loc$x and recs.loc$y the x-y coordinate of geographic
locations? If the answer is yes, then you probably want to enter it
as a single variable with two columns. What you are now doing appears
to fit a tensor product spline.
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