Visual Basic (Declaration) | |
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Overloads Public Shared Function RFrequencyTableOL( _ ByVal s As Series, _ ByVal boundaries() As Double _ ) As Series |
Visual Basic (Usage) | Copy Code |
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C# | |
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public static Series RFrequencyTableOL( Series s, double[] boundaries ) |
Parameters
- s
- A statistical series.
- boundaries
- A strictly increasing sequence of boundaries of the intervals over the real line in which the data sets point will be assigned.
Further Explanation
If we are comparing two or more data sets then the frequencies should be normalized to reflect the possible different sizes of the data sets themselves. To normalize a data set we much first divide the data set into a collection of classes into which the elements are assigned. Here we assign the data set in accordance with the open left boundary convention where the class frequencies are just the number of elements within each of the sub-intervals of the real line in accordance with the open left boundary convention (see example below).
To evaluate the relative frequency we apply the following formula to each
class:
Relative frequency = (class frequency) / (total frequency)
where the class frequency is the number of data points within a given sub-interval
of the real line, and the total frequency is the total number of elements within
the data set considered.
Example Illustration the Open Left Boundary Convention
Consider the set of boundaries { b_1, b_2, b_3, b_4, b_5 }
, where
b_1 < b_2 < b_3 < b_4 < b_5
, which divide the real line into six
sub-intervals. Now if we use the open left boundary convention then the real line
will be divided into the sub-intervals:
(-infinity, b_1], (b_1,b_2], (b_2,b_3], (b_3,b_4], (b_4,b_5], (5, infinity)
Note that, each point on the real line can be assigned to one of these sub-intervals
and therefore when assigning a data point to one of these intervals there will only
be one sub-interval in which it belongs.