 | SortedArrayStatistics Class |
Statistics operating on an array already sorted ascendingly.
Inheritance HierarchyNamespace: MathNet.Numerics.Statistics
Assembly: MathNet.Numerics (in MathNet.Numerics.dll) Version: 3.7
SyntaxC#
public static class SortedArrayStatistics
The SortedArrayStatistics type exposes the following members.
Methods| Name | Description | |
|---|---|---|
  | EmpiricalCDF |
Estimates the empirical cumulative distribution function (CDF) at x from the sorted data array (ascending).
|
| FiveNumberSummary |
Estimates {min, lower-quantile, median, upper-quantile, max} from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| InterquartileRange |
Estimates the inter-quartile range from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| LowerQuartile |
Estimates the first quartile value from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| Maximum |
Returns the largest value from the sorted data array (ascending).
|
| Median |
Estimates the median value from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| Minimum |
Returns the smallest value from the sorted data array (ascending).
|
| OrderStatistic |
Returns the order statistic (order 1..N) from the sorted data array (ascending).
|
| Percentile |
Estimates the p-Percentile value from the sorted data array (ascending).
If a non-integer Percentile is needed, use Quantile instead.
Approximately median-unbiased regardless of the sample distribution (R8).
|
| Quantile |
Estimates the tau-th quantile from the sorted data array (ascending).
The tau-th quantile is the data value where the cumulative distribution
function crosses tau.
Approximately median-unbiased regardless of the sample distribution (R8).
|
| QuantileCustom(Double, Double, QuantileDefinition) |
Estimates the tau-th quantile from the sorted data array (ascending).
The tau-th quantile is the data value where the cumulative distribution
function crosses tau. The quantile definition can be specified to be compatible
with an existing system.
|
| QuantileCustom(Double, Double, Double, Double, Double, Double) |
Estimates the tau-th quantile from the sorted data array (ascending).
The tau-th quantile is the data value where the cumulative distribution
function crosses tau. The quantile defintion can be specified
by 4 parameters a, b, c and d, consistent with Mathematica.
|
| QuantileRank |
Estimates the quantile tau from the sorted data array (ascending).
The tau-th quantile is the data value where the cumulative distribution
function crosses tau. The quantile definition can be specified to be compatible
with an existing system.
|
| Ranks |
Evaluates the rank of each entry of the sorted data array (ascending).
The rank definition can be specified to be compatible
with an existing system.
|
| UpperQuartile |
Estimates the third quartile value from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
See Also