[R-meta] forest plot function overall effect size rounded

[Gabriel Cotlier]

Dear Michael,

Thank you very much for clarifying it. You are indeed right; one thing is
rounding and the other is simply retrieving a given number of digits or
number precision, at least as far as I understand it.
I just would like to appear in the forest plot exactly the same value that
gives the model results or output for the overall effect size, but if the
model's output is, for instance, 0.7080 and such a number is too large,
well then only the first 2 digits after the point would be 0.70.

Thanks a lot for your help.
Kind regards,
Gabriel

On Wed, Oct 11, 2023 at 5:46 PM Michael Dewey <lists using dewey.myzen.co.uk>
wrote:

> Dear Gabriel
>
> Comments in-line
>
> On 11/10/2023 15:10, Gabriel Cotlier via R-sig-meta-analysis wrote:
> > Hello all,
> > I would like to ask how to modify in the forest plot the value of the
> > overall effect size to be round (overall_effect_size, 1) since it
> > aurtomatically does round(overall_effect_size, 2) for instance in my case
> > the model's output overall effect size is :
> >
> > p0 <- predict(res)
> > p0
> > # pred     se  ci.lb  ci.ub   pi.lb  pi.ub
> > # 0.7080 0.2950 0.1297 1.2863 -2.9950 4.4110
> >
> > That is 0.7080 but in the forest lot is round(0.7080, 2) that is 0.71 as
> it
> > appears in the forest plot (lower right corner):
> >
> >    100% 0.71 [0.13, 1.29]
> >
> > Therefore I would like to access the variable in the forest plot and set
> it
> > to be round(0.7080, 1) so as to have the overall effect size as is in the
> > model output, that is 0.70 or alternatively 0.7080.
>
> But round(0.7080, 1) is 0.7, not 0.70. Rounded to 2 decimals it is 0.71
> which you state you do not want. Perhaps it would help if you explained
> what you mean by rounding as what you ask does not seem to correspond to
> what is usually meant by the term.
>
> Michael
>
> >
> > Thanks a lot.
> > Kid regards,
> > Gabriel
> >
> >       [[alternative HTML version deleted]]
> >
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>
> --
> Michael
>

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