R help - Feb 2009 - Website, book, paper, etc. that shows example plots of distributions?

By any chance is any one aware of a website, book, paper, etc. or combinations
of those sources that show plots of different distributions?

After reading a pretty good whitepaper I became aware of the benefit of I the
benefit of doing Q-Q plots and histograms to help assess a distribution.   The
whitepaper is called:
"Univariate Analysis and Normality Test Using SAS, Stata, and SPSS*" ,
© 2002-2008 The Trustees of Indiana University Univariate Analysis and Normality
Test: 1, Hun Myoung Park
 
Unfortunately the white paper does not provide an extensive amount of example
distributions plotted using Q-Q plots and histograms, so I am curious if there
is a "portfolio"-type  website or other whitepaper shows examples of
various types of distributions.

It would be helpful to see a bunch of Q-Q plots and their associated histograms
to get an idea of how the distribution looks in comparison against the Gaussian.

I think seeing the plot really helps. 

Thank you for any insights.


      
	[[alternative HTML version deleted]]

You may find the qreference function in the DAAG package helpful. It
makes several QQ plots to give a sense of what kind of fluctuations
can be expected.

You can also construct a series of any plots you are interested in
(using different distributions), and modifying the code in this
function may help with this.

On Thu, Feb 12, 2009 at 1:04 PM, Jason Rupert <jasonkrupert at yahoo.com>
wrote:
> By any chance is any one aware of a website, book, paper, etc. or
combinations of those sources that show plots of different distributions?
>
> After reading a pretty good whitepaper I became aware of the benefit of I
the benefit of doing Q-Q plots and histograms to help assess a distribution.  
The whitepaper is called:
> "Univariate Analysis and Normality Test Using SAS, Stata, and
SPSS*" , (c) 2002-2008 The Trustees of Indiana University Univariate
Analysis and Normality Test: 1, Hun Myoung Park
>
> Unfortunately the white paper does not provide an extensive amount of
example distributions plotted using Q-Q plots and histograms, so I am curious if
there is a "portfolio"-type  website or other whitepaper shows
examples of various types of distributions.
>
> It would be helpful to see a bunch of Q-Q plots and their associated
histograms to get an idea of how the distribution looks in comparison against
the Gaussian.
>
> I think seeing the plot really helps.
>
> Thank you for any insights.
>
>
>
>        [[alternative HTML version deleted]]
>
>
> ______________________________________________
> 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.
>
>

You can readily create a dynamic display for using qqplot and similar functions
in conjunction with either the playwith or TeachingDemos packages.

For example, to investigate the effect of the shape parameter in the skew
normal distribution on its qqplot relative to the normal distribution:

   library(playwith)
   library(sn)
   playwith(qqnorm(rsn(100, shape = shape)),
       parameters = list(shape = seq(-3, 3, .1)))

Now move the slider located at the bottom of the window that
appears and watch the plot change in response to changing
the shape value.

You can find more distributions here:
http://cran.r-project.org/web/views/Distributions.html

On Thu, Feb 12, 2009 at 1:04 PM, Jason Rupert <jasonkrupert at yahoo.com>
wrote:
> By any chance is any one aware of a website, book, paper, etc. or
combinations of those sources that show plots of different distributions?
>
> After reading a pretty good whitepaper I became aware of the benefit of I
the benefit of doing Q-Q plots and histograms to help assess a distribution.  
The whitepaper is called:
> "Univariate Analysis and Normality Test Using SAS, Stata, and
SPSS*" , (c) 2002-2008 The Trustees of Indiana University Univariate
Analysis and Normality Test: 1, Hun Myoung Park
>
> Unfortunately the white paper does not provide an extensive amount of
example distributions plotted using Q-Q plots and histograms, so I am curious if
there is a "portfolio"-type  website or other whitepaper shows
examples of various types of distributions.
>
> It would be helpful to see a bunch of Q-Q plots and their associated
histograms to get an idea of how the distribution looks in comparison against
the Gaussian.
>
> I think seeing the plot really helps.
>
> Thank you for any insights.
>
>
>
>        [[alternative HTML version deleted]]
>
>
> ______________________________________________
> 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.
>
>

You might also want to look at the idealized situation:

library(playwith)
library(sn)

playwith(qqnorm(qsn(1:99/100, shape = shape)),
       parameters = list(shape = seq(-3, 3, .1)))


On Fri, Feb 13, 2009 at 6:43 AM, Gabor Grothendieck
<ggrothendieck at gmail.com> wrote:
> You can readily create a dynamic display for using qqplot and similar
functions
> in conjunction with either the playwith or TeachingDemos packages.
>
> For example, to investigate the effect of the shape parameter in the skew
> normal distribution on its qqplot relative to the normal distribution:
>
>   library(playwith)
>   library(sn)
>   playwith(qqnorm(rsn(100, shape = shape)),
>       parameters = list(shape = seq(-3, 3, .1)))
>
> Now move the slider located at the bottom of the window that
> appears and watch the plot change in response to changing
> the shape value.
>
> You can find more distributions here:
> http://cran.r-project.org/web/views/Distributions.html
>
> On Thu, Feb 12, 2009 at 1:04 PM, Jason Rupert <jasonkrupert at
yahoo.com> wrote:
>> By any chance is any one aware of a website, book, paper, etc. or
combinations of those sources that show plots of different distributions?
>>
>> After reading a pretty good whitepaper I became aware of the benefit of
I the benefit of doing Q-Q plots and histograms to help assess a distribution.  
The whitepaper is called:
>> "Univariate Analysis and Normality Test Using SAS, Stata, and
SPSS*" , (c) 2002-2008 The Trustees of Indiana University Univariate
Analysis and Normality Test: 1, Hun Myoung Park
>>
>> Unfortunately the white paper does not provide an extensive amount of
example distributions plotted using Q-Q plots and histograms, so I am curious if
there is a "portfolio"-type  website or other whitepaper shows
examples of various types of distributions.
>>
>> It would be helpful to see a bunch of Q-Q plots and their associated
histograms to get an idea of how the distribution looks in comparison against
the Gaussian.
>>
>> I think seeing the plot really helps.
>>
>> Thank you for any insights.
>>
>>
>>
>>        [[alternative HTML version deleted]]
>>
>>
>> ______________________________________________
>> 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.
>>
>>
>