Thanks. It seems that the differences I saw in some of my data points were related to the number of digits and rounding.
Regards, Mahmood ________________________________ From: Bill Dunlap <williamwdun...@gmail.com> Sent: Sunday, May 30, 2021 7:00:52 PM To: Mahmood Naderan-Tahan Cc: r-help@r-project.org Subject: Re: [R] 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.nade...@ugent.be<mailto:mahmood.nade...@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<http://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 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org<mailto:R-help@r-project.org> mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
