Thanks very much, Simon!
On 12/17/18, 8:23 AM, "Simon Wood" <simon.w...@bath.edu> wrote:
I would quote the p-value, but not the statistic (as it is not a
standard F stat). The actual statistic is given here:
https://urldefense.proofpoint.com/v2/url?u=https-3A__academic.oup.com_biomet_article-2Dpdf_100_4_1005_566200_ast038.pdf&d=DwIDaQ&c=UXmaowRpu5bLSLEQRunJ2z-YIUZuUoa9Rw_x449Hd_Y&r=y6YM-SSv8WOxR70LMzwwFohC41WMNU4ZGFcHpTmGWLo&m=CqMTgm500nmgBrPfC2cLIc45sZ6h0I2odVPYT8qCmYA&s=epymthgL8_opS9pITmfKRJnH_uzCCzEWTYU9qEwQ_q0&e=
On 14/12/2018 04:33, Smith, Desmond wrote:
> Dear All,
>
> I have a mgcv::gam model of the form:
>
> m1 <- gam(Y ~ A + s(B, bs = "re"), data = dataframe, family = gaussian,
method = "REML")
>
> The random term is quoted in summary(m1) as, for example,
>
> Approximate significance of smooth terms:
> # edf Ref.df F p-value
> s(B) 4.486 5 97.195 6.7e-08 ***
>
> My question is, how would I quote this result (statistic and P value) in
a formal document?
>
> For example, one possibility is F[4.486,5] = 97.195, P = 6.7e-08.
However, arguing against this, “reverse engineering” of the result using
>
> pf(q= 97.195, df1= 4.486, df2= 5, lower.tail=FALSE)
>
> gives an incorrect p value:
>
> [1] 0.1435508
>
> I would be very grateful for your advice. Many thanks for your help!
>
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