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-Tahan <
mahmood.naderan at 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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