Quantile (FSharp.Stats) | FSharp.Stats

FSharp.Stats

Quantile Module

Namespace: FSharp.Stats
Assembly: FSharp.Stats.dll

Module to estimate different quantile measures

Types and nested modules

Type/Module	Description
InPlace	! Works inplace and can thus causes the data array to be reordered
OfSorted	! Input needs to be sorted
QuantileFunction<'a>

Functions and values

Function or value	Description
`california q data` Full Usage: `california q data` Parameters: q : `float` - data : `float seq` - Returns: `float`	Estimates the q-th quantile from the unsorted data. q : `float` data : `float seq` Returns: `float` Example
`compute q data` Full Usage: `compute q data` Parameters: q : `float` - data : `float seq` - Returns: `float` Modifiers: inline	Estimates the q-th quantile from the unsorted data. Approximately median-unbiased regardless of the sample distribution. q : `float` data : `float seq` Returns: `float` Example
`computePercentiles calcMethod percentile data` Full Usage: `computePercentiles calcMethod percentile data` Parameters: calcMethod : `float -> float array -> 'a` - percentile : `float seq` - data : `float seq` - Returns: `'a seq`	Computes percentiles percentiles: Each percentile must be between 0.0 and 1.0 (inclusive) CalcMethod should be ofSorted array calcMethod : `float -> float array -> 'a` percentile : `float seq` data : `float seq` Returns: `'a seq` Example
`empiricalInvCdf q data` Full Usage: `empiricalInvCdf q data` Parameters: q : `float` - data : `float seq` - Returns: `float`	Estimates the q-th quantile from the unsorted data. q : `float` data : `float seq` Returns: `float` Example
`empiricalInvCdfAverage q data` Full Usage: `empiricalInvCdfAverage q data` Parameters: q : `float` - data : `float seq` - Returns: `float`	Estimates the q-th quantile from the unsorted data. q : `float` data : `float seq` Returns: `float` Example
`hazen q data` Full Usage: `hazen q data` Parameters: q : `float` - data : `float seq` - Returns: `float`	Estimates the q-th quantile from the unsorted data. q : `float` data : `float seq` Returns: `float` Example
`interQuantileRange qf data` Full Usage: `interQuantileRange qf data` Parameters: qf : `QuantileFunction<'a>` data : `'a array` Returns: `float`	Computes the interquartile range (IQR) qf : `QuantileFunction<'a>` data : `'a array` Returns: `float`
`mode q data` Full Usage: `mode q data` Parameters: q : `float` - data : `float seq` - Returns: `float`	Estimates the q-th quantile from the unsorted data. R! default q : `float` data : `float seq` Returns: `float` Example
`nearest q data` Full Usage: `nearest q data` Parameters: q : `float` - data : `float seq` - Returns: `float`	Estimates the q-th quantile from the unsorted data. q : `float` data : `float seq` Returns: `float` Example
`nist q data` Full Usage: `nist q data` Parameters: q : `float` - data : `float seq` - Returns: `float`	Estimates the q-th quantile from the unsorted data. q : `float` data : `float seq` Returns: `float` Example
`normal q data` Full Usage: `normal q data` Parameters: q : `float` - data : `float seq` - Returns: `float`	Estimates the q-th quantile from the unsorted data. q : `float` data : `float seq` Returns: `float` Example