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

[Gabriel Cotlier]

Yes, indeed, sprintf("%1.2f", ((trunc(100 * 0.7080) / 100))) is a good
solution.
Do you know how to plug the value into the forest plot location where the
overall effect size is (lower right-hand side corner)?
Thanks a lot.
Gabriel


On Wed, Oct 11, 2023 at 6:46 PM Michael Dewey <lists using dewey.myzen.co.uk>
wrote:

> Do you mean something like
>
> sprintf("%1.2f", ((trunc(100 * 0.7080) / 100)))
>
> perhaps?
>
> Michael
>
> On 11/10/2023 16:31, Gabriel Cotlier wrote:
> > 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
> > <mailto: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 <http://ci.lb>  ci.ub pi.lb <http://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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