[R] Plotting Categorical/Numerical Data?

Jason Eyerly teamtraders3564 at gmail.com
Mon Sep 29 03:57:41 CEST 2014


1. Okay?

2. It was also said to be unlikely that the Wright brothers would take
flight, or that the earth orbited the moon.

3. One step ahead.

-Jason
On Sep 28, 2014 6:53 PM, "Bert Gunter" <gunter.berton at gene.com> wrote:

> 1. Homework? We don't do homework here.
>
> 2. I believe what you purport to do is unlikely answer the "is it
> random" question. Or, more exactly, may very well give an incorrect
> answer.
>
> To learn what you should do:
>
> 3. Post to a statistics (or math) site like stats.stackexchange.com.
> You gave no details, but it may well be complex.
>
> 4. Or consult someone locally with knowledge of probability and statistics.
>
> Cheers,
> Bert
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
> (650) 467-7374
>
> "Data is not information. Information is not knowledge. And knowledge
> is certainly not wisdom."
> Clifford Stoll
>
>
>
>
> On Sun, Sep 28, 2014 at 12:26 PM, Jason Eyerly <ccfdexplorer at gmail.com>
> wrote:
> > Hello Everyone,
> >     I've created a sample of poker hands being dealt. How can I plot the
> > data visually in R/R-Studio where x=(Card1,Card2) and Y = Frequency Of
> > Occurence? I'm trying to visualize a simulation, to compare to an actual
> > dataset, to determine if the hands being dealt in the "actual" computer
> > game are fair and in fact "random".
> >
> > For example:
> >
> >     5
> >     4
> >     3
> >     2
> >     1
> >       QS AH, 1S 2C, 5H KH....
> >
> > Thanks In Advance,
> >     Jason E.
> >
> >         [[alternative HTML version deleted]]
> >
> > ______________________________________________
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> > 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 at r-project.org mailing list
> 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.
>

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