Difference between revisions of "Polar rose plot"

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A '''polar rose plot''' (or '''roseplot''' / '''rose diagram''' and sometimes a '''rhodonea plot''') is an angle histogram showing the distribution of values grouped according to their numeric range (viewed as a "polar plot"). It is similar to a [[wikipedia:Rose_%28mathematics%29|polar rose]] (i.e. with <tt>r = cos(k*&theta;</tt>)) but not necessarily symmetric, as the symmetry (or "direction" of petals) is entirely dependant on the input data.
 
A '''polar rose plot''' (or '''roseplot''' / '''rose diagram''' and sometimes a '''rhodonea plot''') is an angle histogram showing the distribution of values grouped according to their numeric range (viewed as a "polar plot"). It is similar to a [[wikipedia:Rose_%28mathematics%29|polar rose]] (i.e. with <tt>r = cos(k*&theta;</tt>)) but not necessarily symmetric, as the symmetry (or "direction" of petals) is entirely dependant on the input data.
  
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[[Image:Roseplot.png|right|thumb|Example roseplot - taken from GenomeAtlas by CBS]]
 
A roseplot is useful for viewing the "direction" of input data. It is commonly used for plotting the daily (or yearly, etc.) average wind direction at a given location (sometimes called a "wind direction plot" or a "wind rose").
 
A roseplot is useful for viewing the "direction" of input data. It is commonly used for plotting the daily (or yearly, etc.) average wind direction at a given location (sometimes called a "wind direction plot" or a "wind rose").
  
 
Roseplots display degree, radian, or grad data versus a radial axis. Like histograms, roseplots display statistical data, showing the number of occurrences of an event that fall within a specific angular region.
 
Roseplots display degree, radian, or grad data versus a radial axis. Like histograms, roseplots display statistical data, showing the number of occurrences of an event that fall within a specific angular region.
  
I routinely use roseplots in my [[:Category:Bioinformatics|bioinformatics]] [[:Category:Academic Research|research]]. They are especially useful for getting an overview of amino acid- or nucleotide-usage in a given genome or sequence (note: to see what I mean, have a look at the Genome Atlas Server at CBS).
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I routinely use roseplots in my [[:Category:Bioinformatics|bioinformatics]] [[:Category:Academic Research|research]]. They are especially useful for getting an overview of amino acid- or nucleotide-usage in a given genome or sequence (see figure).
  
 
==Equations==
 
==Equations==
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[[Category:Bioinformatics]]
 
[[Category:Bioinformatics]]
 
[[Category:Graphics software]]
 
[[Category:Graphics software]]
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== Headline text ==

Revision as of 01:35, 16 July 2007

A polar rose plot (or roseplot / rose diagram and sometimes a rhodonea plot) is an angle histogram showing the distribution of values grouped according to their numeric range (viewed as a "polar plot"). It is similar to a polar rose (i.e. with r = cos(k*θ)) but not necessarily symmetric, as the symmetry (or "direction" of petals) is entirely dependant on the input data.

File:Roseplot.png
Example roseplot - taken from GenomeAtlas by CBS

A roseplot is useful for viewing the "direction" of input data. It is commonly used for plotting the daily (or yearly, etc.) average wind direction at a given location (sometimes called a "wind direction plot" or a "wind rose").

Roseplots display degree, radian, or grad data versus a radial axis. Like histograms, roseplots display statistical data, showing the number of occurrences of an event that fall within a specific angular region.

I routinely use roseplots in my bioinformatics research. They are especially useful for getting an overview of amino acid- or nucleotide-usage in a given genome or sequence (see figure).

Equations

The polar equation of the rose is

r=α*sin(nθ)
~OR~
r=α*cos(nθ)

If n is odd, the rose is n-petalled. If n is even, the rose is 2n-petalled. Integer values of n give the kind of roseplots described in this article.

External links

This article is curently a "stub". This means it is an incomplete article needing further elaboration.

I always welcome suggestions, comments, and criticism. If you have something to contribute to this site, please follow this link: Contributing Information. Thank you!

Headline text