] About Pearson correlation functions
You didn't say how the values differed. If one in the plot is a rounded
version of the other then adding the ggpur::ggscatter() argument
cor.coeff.args=list(digits=7)
will fix things up.
-Bill
On Sun, May 30, 2021 at 9:18 AM Mahmood Naderan-
You didn't say how the values differed. If one in the plot is a rounded
version of the other then adding the ggpur::ggscatter() argument
cor.coeff.args=list(digits=7)
will fix things up.
-Bill
On Sun, May 30, 2021 at 9:18 AM Mahmood Naderan-Tahan <
mahmood.nade...@ugent.be> wrote:
> Hi
>
> M
Hi
Maybe this is not directly related to R, but I appreciate you can help me with
an idea. I use the following ggscatter function to plot a Pearson correlation
Coefficient and it works fine. In the chart I see both R-value and P-value.
ggscatter(mydata, x = "V1", y = "V2", add = "reg.line"
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