Perhaps functional data analysis would be of interest. See, for
example, package fda.
Kingsford
On Fri, Oct 23, 2009 at 4:46 PM, Dylan Beaudette
wrote:
> Hi,
>
> I have fit a series of ols() models, by group, in this manner:
>
> l <- ols(y ~ rcs(x, 4))
>
> ... where the series of 'x' values in
Dylan Beaudette wrote:
On Friday 23 October 2009, Frank E Harrell Jr wrote:
Dylan Beaudette wrote:
Hi,
I have fit a series of ols() models, by group, in this manner:
l <- ols(y ~ rcs(x, 4))
... where the series of 'x' values in each group is the same, however
knots are not always identical b
On Friday 23 October 2009, Frank E Harrell Jr wrote:
> Dylan Beaudette wrote:
> > Hi,
> >
> > I have fit a series of ols() models, by group, in this manner:
> >
> > l <- ols(y ~ rcs(x, 4))
> >
> > ... where the series of 'x' values in each group is the same, however
> > knots are not always identic
Dylan Beaudette wrote:
Hi,
I have fit a series of ols() models, by group, in this manner:
l <- ols(y ~ rcs(x, 4))
... where the series of 'x' values in each group is the same, however knots
are not always identical between groups. The result is a table of 'coefs'
derived from the ols objects
Hi,
I have fit a series of ols() models, by group, in this manner:
l <- ols(y ~ rcs(x, 4))
... where the series of 'x' values in each group is the same, however knots
are not always identical between groups. The result is a table of 'coefs'
derived from the ols objects, by group:
group Inte
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