[R-sig-Geo] gridded time series analysis

[Robert J. Hijmans]

You can return anything you like, as long as it is numeric (or a
vector of numerics). R^2 should come out like this:

 fun=function(x) { if (is.na(x[1])){ NA } else { m <-
lm(x[1]~x[2])$coefficients[2]; summary(m)$r.squared  }}


slope and R^2

 fun=function(x) { if (is.na(x[1])){ NA } else { m <-
lm(x[1]~x[2])$coefficients[2]; c(m$coefficients[2],
summary(m)$r.squared  }}

Robert

On Mon, Nov 29, 2010 at 1:58 AM, Martin <martin_brandt at gmx.net> wrote:
>
> another thing which might be interesting:
>
> I know I can call the intercept with "coefficients[1]" and the slope with
> "coefficients[2]". But is it also possible to get a gridded result with the
> other lm regression results (normaly available via "summary()") , like R²,
> p-value, or residuals?
>
> Martin
>
>
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