| Name | Description |
---|
| EmpiricalCDF(Double, Double) |
Estimates the empirical cumulative distribution function (CDF) at x from the sorted data array (ascending).
|
| EmpiricalCDF(Single, Single) |
Estimates the empirical cumulative distribution function (CDF) at x from the sorted data array (ascending).
|
| FiveNumberSummary(Double) |
Estimates {min, lower-quantile, median, upper-quantile, max} from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| FiveNumberSummary(Single) |
Estimates {min, lower-quantile, median, upper-quantile, max} from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| InterquartileRange(Double) |
Estimates the inter-quartile range from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| InterquartileRange(Single) |
Estimates the inter-quartile range from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| LowerQuartile(Double) |
Estimates the first quartile value from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| LowerQuartile(Single) |
Estimates the first quartile value from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| Maximum(Double) |
Returns the largest value from the sorted data array (ascending).
|
| Maximum(Single) |
Returns the largest value from the sorted data array (ascending).
|
| Median(Double) |
Estimates the median value from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| Median(Single) |
Estimates the median value from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| Minimum(Double) |
Returns the smallest value from the sorted data array (ascending).
|
| Minimum(Single) |
Returns the smallest value from the sorted data array (ascending).
|
| OrderStatistic(Double, Int32) |
Returns the order statistic (order 1..N) from the sorted data array (ascending).
|
| OrderStatistic(Single, Int32) |
Returns the order statistic (order 1..N) from the sorted data array (ascending).
|
| Percentile(Double, Int32) |
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).
|
| Percentile(Single, Int32) |
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(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.
Approximately median-unbiased regardless of the sample distribution (R8).
|
| Quantile(Single, 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.
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(Single, 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 definition can be specified
by 4 parameters a, b, c and d, consistent with Mathematica.
|
| QuantileCustom(Single, 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 definition can be specified
by 4 parameters a, b, c and d, consistent with Mathematica.
|
| QuantileRank(Double, Double, RankDefinition) |
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.
|
| QuantileRank(Single, Single, RankDefinition) |
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(Double, RankDefinition) |
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.
|
| Ranks(Single, RankDefinition) |
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(Double) |
Estimates the third quartile value from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|
| UpperQuartile(Single) |
Estimates the third quartile value from the sorted data array (ascending).
Approximately median-unbiased regardless of the sample distribution (R8).
|