Hello,
If you cannot determine the exact value of y for given x, then isn't
your problem how to determine an approximate value of y? Once you have
it, it's easy to plot it.
With newdata = data.frame(x = 75, y = ???),
ggplot(mydata, mapping = aes(x, y)) +
geom_point(color = "black") +
ge
Slight addendum. I would appreciate correction if anything I say is wrong.
"I think this works because substitute() expands the ellipsis into its
return value."
That seems to be correct. ?substitute explicitly states:
"Substitution takes place by examining each component of the parse
tree as foll
Hello,
I am trying to figure out the proper way to use ellipsis to pass
arguments to child functions. I'm trying to create a wrapper function
around stats::lm and lme4::lmer such that if the formula passed to the
wrapper function contains a random effect it will fit a lme4::lmer model
and if n
Thank you
On Thu, May 26, 2022 at 12:38 PM Ivan Krylov wrote:
>
> В Thu, 26 May 2022 12:30:12 +0200
> Luigi Marongiu пишет:
>
> > > Error in forest.meta(m10, sortvar = TE, predict = TRUE, print.tau2
> > > = TRUE, :
> > argument 3 matches multiple formal arguments
>
> Look at help(forest.meta)
Hello,
I am using the package meta to plot a forest plot. My data looks like this:
```
X
Entry Cases Ca_pos Controls Co_pos Method Tissue
Disease Virus Set
6 de Villiers, 200782 72 82 61PCR colon/rectum
cancer TTV 3
7 de Villiers, 2002 162
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