Thanks Jim This seems to be strightforward and quite simple. I considered addtable2plot but was not sure how to make propper data frame from the result.
Regards Petr > -----Original Message----- > From: Jim Lemon <drjimle...@gmail.com> > Sent: Friday, September 17, 2021 2:31 AM > To: PIKAL Petr <petr.pi...@precheza.cz>; r-help mailing list <r-help@r- > project.org> > Subject: Re: [R] adding results to plot > > Hi Petr, > The hard part is the names for the data frame that addtable2plot requires: > > set.seed(753) > res <- shapiro.test(rnorm(100)) > library(plotrix) > plot(0,0,type="n",axes=FALSE) > addtable2plot(0,0,data.frame(element=names(res)[1:2], > value=round(as.numeric(res[1:2]),3)),xjust=0.5, > title=res$method) > > There is probably a way to get blank names with data.frame(), but I gave up. > > Jim > > On Fri, Sep 17, 2021 at 12:22 AM PIKAL Petr <petr.pi...@precheza.cz> wrote: > > > > Dear all > > > > I know I have seen the answer somewhere but I am not able to find it. > > Please help > > > > > plot(1,1) > > > res <- shapiro.test(rnorm(100)) > > > res > > > > Shapiro-Wilk normality test > > > > data: rnorm(100) > > W = 0.98861, p-value = 0.5544 > > > > I would like to add whole res object to the plot. > > > > I can do it one by one > > > text(locator(1), res$method) > > > text(locator(1), as.character(res$p.value)) > > ... > > But it is quite inconvenient > > > > I could find some way in ggplot world but not in plain plot world. > > > > Best regards > > Petr > > ______________________________________________ > > 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.
______________________________________________ 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.
