Click or drag to resize
SortedArrayStatistics Methods

The SortedArrayStatistics type exposes the following members.

Methods
  NameDescription
Public methodStatic memberEmpiricalCDF
Estimates the empirical cumulative distribution function (CDF) at x from the sorted data array (ascending).
Public methodStatic memberFiveNumberSummary
Estimates {min, lower-quantile, median, upper-quantile, max} from the sorted data array (ascending). Approximately median-unbiased regardless of the sample distribution (R8).
Public methodStatic memberInterquartileRange
Estimates the inter-quartile range from the sorted data array (ascending). Approximately median-unbiased regardless of the sample distribution (R8).
Public methodStatic memberLowerQuartile
Estimates the first quartile value from the sorted data array (ascending). Approximately median-unbiased regardless of the sample distribution (R8).
Public methodStatic memberMaximum
Returns the largest value from the sorted data array (ascending).
Public methodStatic memberMedian
Estimates the median value from the sorted data array (ascending). Approximately median-unbiased regardless of the sample distribution (R8).
Public methodStatic memberMinimum
Returns the smallest value from the sorted data array (ascending).
Public methodStatic memberOrderStatistic
Returns the order statistic (order 1..N) from the sorted data array (ascending).
Public methodStatic memberPercentile
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).
Public methodStatic memberQuantile
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).
Public methodStatic memberQuantileCustom(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.
Public methodStatic memberQuantileCustom(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.
Public methodStatic memberQuantileRank
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.
Public methodStatic memberRanks
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.
Public methodStatic memberUpperQuartile
Estimates the third quartile value from the sorted data array (ascending). Approximately median-unbiased regardless of the sample distribution (R8).
Top
See Also