[Sending your follow-on question to the full R-help list] On Fri, Oct 4, 2019 at 7:13 PM javed khan <javedbtk...@gmail.com> wrote:
> Thanks for your reply. I checked the example of treatment and control but > I can not understand the first four lines. How can we do it if we have the > data (both columns) in excel and we read it in code with read.csv. > > Best regards > > On Friday, October 4, 2019, Eric Berger <ericjber...@gmail.com> wrote: > >> For general documentation about the effsize package you would do: >> > help(package="effsize") >> >> For information on calculations related to vargha: >> >??vargha >> This command displays effsize::VD.A, which you can find out about via the >> command >> >?effsize::VD.A >> This displays the documentation for the function VD.A. At the top of the >> documentation you have the Description and Usage sections. At the bottom >> there are some examples of using the function. >> >> HTH, >> Eric >> >> >> On Fri, Oct 4, 2019 at 10:44 AM javed khan <javedbtk...@gmail.com> wrote: >> >>> I am new to R language. I have two column data I.e X= 0.23, 0.04, 0.5, - >>> 0.20 etc and B= 0.34, 0.01, 0.1, 0.09 etc. The number of observations are >>> 100. How can I apply vargha and delaney effect size in R? I load the data >>> as, read.csv(mydata.csv) and load the library effsize. Please if someone >>> can help because I have no idea about the next step to follow. >>> >>> Thanks >>> >>> [[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. >>> >> [[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.
