Rolf Turner writes:
> Oh for Pete's sake!
No, just for me.
> Computers use floating point arithmetic. Your residual standard error in
> case 2 (i.e. 1.44e-14) *is* 0, but floating point arithmetic can't quite see
> that this is so.
Yes, and that's fine. When I put together a lattice plot to
Oh for Pete's sake!
Computers use floating point arithmetic. Your residual standard
error in
case 2 (i.e. 1.44e-14) *is* 0, but floating point arithmetic can't
quite see
that this is so. Put in a check for the RSE being 0, and ``over-
ride'' the
adjusted R squared to be NA (or NaN, or what
Hi,
I'm analyzing a large number of simulations using lm(), a sample of the
resulting data is pasted below. In some simulations, the response
variable doesn't vary, ie:
> tmp[[2]]$richness
[1] 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40
When I analyze this using R
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