Package Biskit :: Package Statistics :: Module Density :: Class Density

Class Density

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Analyze a density distribution of values. Can be created from a list of samples or from a discrete distribution:

 Density( values = [ float ] )
   or
 Density( p = array(2xN,'f') )

Instance Methods

[hide private]

__init__(self, p=None, values=None, bins=20)

store(self, val)
Analyze distribution data.

get(self)

__getslice__(self, *args, **kw)

__getitem__(self, *args, **kw)

float, float confidenceInterval(self, level)
Returns start and end of the confidence interval containing |level|*100 % of the probability

float, (float,float) findConfidenceInterval(self, x)
Find the smallest possible density interval that still includes x.

median(self)
Median of distribution.

average(self)
Average of distribution.

max(self)
Max height of distribution.

__find_intervals(self, l)

Method Details

[hide private]

init(self, p=None, values=None, bins=20)
(Constructor)

source code

Parameters:

p (array) - discrete distribution, array (2 x len(data) ) with start of bin and witdh of bin (default: None)
values ([float]) - list of samples (default: None)
bins (int) - number of bins (default: 20)

store(self, val)

source code

Analyze distribution data.

Parameters:

val (array) - array (2 x len(data) ) with start of bin and witdh of bin (default: None)

get(self)

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getslice(self, *args, **kw)
(Slicling operator)

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getitem(self, *args, **kw)
(Indexing operator)

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confidenceInterval(self, level)

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Parameters:

level (float) - confidence level (e.g. 0.68 for stdev interval)

Returns: float, float: start and end of the confidence interval containing |level|*100 % of the probability

findConfidenceInterval(self, x)

source code

Find the smallest possible density interval that still includes x.

Parameters:

x (float) - value

Returns: float, (float,float): convidence level, interval start and end

median(self)

source code

Median of distribution.

average(self)

source code

Average of distribution.

max(self)

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Max height of distribution.

__find_intervals(self, l)

source code

Class Density

__init__(self, p=None, values=None, bins=20) (Constructor)

store(self, val)

get(self)

__getslice__(self, *args, **kw) (Slicling operator)

__getitem__(self, *args, **kw) (Indexing operator)

confidenceInterval(self, level)

findConfidenceInterval(self, x)

median(self)

average(self)

max(self)

__find_intervals(self, l)

init(self, p=None, values=None, bins=20)
(Constructor)

getslice(self, *args, **kw)
(Slicling operator)

getitem(self, *args, **kw)
(Indexing operator)