[R] About Pearson correlation functions

Bill Dunlap w||||@mwdun|@p @end|ng |rom gm@||@com
Sun May 30 19:00:52 CEST 2021


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.naderan using ugent.be> wrote:

> 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", conf.int =
> TRUE, cor.coef = TRUE, cor.method = "pearson")
>
>
> On the other hand, when I use this command
>
>
>     res <- cor.test(mydata$V1, mydata$V2, method = "pearson")
>
>
> The R and P values are different from ggscatter.
>
>
> I would like to know:
>
>
> 1- Why they are different?
>
> 2- How to print P and R values of ggscatter on terminal?
>
>
>
> Regards,
> Mahmood
>
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>
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