StudentizedRange (FSharp.Stats)

StudentizedRange Type

Namespace: FSharp.Stats.Distributions.Continuous
Assembly: FSharp.Stats.dll
Base Type: obj

Studentized range (q) distribution. Used in Tukey's HSD post hoc test. method from: QUANTILES FROM THE MAXIMUM STUDENTIZED RANGE DISTRIBUTION, Ferreira, Rev. Mat. Estat., v.25, n.1, p.117-135, 2007 table from: Tables of range and studentized range, Harter, 1960 and Lawal B, Applied Statistical Methods in Agriculture, Health and Life Sciences, DOI 10.1007/978-3-319-05555-8, 2014

Static members

Static member	Description
`StudentizedRange.CDF(q) (r) (v) (c) (accuracy) (computeParallel)` Full Usage: `StudentizedRange.CDF(q) (r) (v) (c) (accuracy) (computeParallel)` Parameters: q : `float` - r : `float` - v : `float` - c : `float` - accuracy : `int option` - computeParallel : `bool` - Returns: `float`	Computes the cumulative density function. Accuracy defines the number of steps within the integration (Recommended: 1k-10k, default: 2k). pValue accuracy is minimum 3 digits for v>3 at pValue=0.05. q:qValue r:number of treatments v:df (n-r) c:1. Integration can be performed in parallel using PSeq q : `float` r : `float` v : `float` c : `float` accuracy : `int option` computeParallel : `bool` Returns: `float` Example
`StudentizedRange.CheckParam(q) (r) (v)` Full Usage: `StudentizedRange.CheckParam(q) (r) (v)` Parameters: q : `float` - r : `float` - v : `float` -	tudentized range distribution helper functions. q : `float` r : `float` v : `float` Example
`StudentizedRange.Init(r) (v) (c) (accuracy) (computeParallel)` Full Usage: `StudentizedRange.Init(r) (v) (c) (accuracy) (computeParallel)` Parameters: r : `float` - v : `float` - c : `float` - accuracy : `int option` - computeParallel : `bool` - Returns: `ContinuousDistribution<float, float>`	Initializes a studentized range distribution. Accuracy defines the number of steps within the CDF integration (Recommended: 1k-10k, default: 2k). pValue accuracy is minimum 3 digits for v>3. q:qValue r:number of treatments v:df (n-r) c:1. Integration can be performed in parallel using PSeq r : `float` v : `float` c : `float` accuracy : `int option` computeParallel : `bool` Returns: `ContinuousDistribution<float, float>` Example
`StudentizedRange.InvCDF(q) (r) (v) (c)` Full Usage: `StudentizedRange.InvCDF(q) (r) (v) (c)` Parameters: q : `'a` - r : `'b` - v : `'c` - c : `'d` - Returns: `'e`	Computes the inverse cumulative distribution function (quantile function). q : `'a` r : `'b` v : `'c` c : `'d` Returns: `'e` Example
`StudentizedRange.Mean` Full Usage: `StudentizedRange.Mean` Returns: `float`	Computes the mean. Returns: `float`
`StudentizedRange.Mode` Full Usage: `StudentizedRange.Mode` Returns: `float`	Computes the mode. Returns: `float`
`StudentizedRange.PDF` Full Usage: `StudentizedRange.PDF` Returns: `float`	Computes the probability density function. Returns: `float`
`StudentizedRange.Sample()` Full Usage: `StudentizedRange.Sample()` Returns: `'a`	Produces a random sample using the current random number generator (from GetSampleGenerator()). Returns: `'a`
`StudentizedRange.StandardDeviation` Full Usage: `StudentizedRange.StandardDeviation` Returns: `float`	Computes the standard deviation. Returns: `float`
`StudentizedRange.Variance` Full Usage: `StudentizedRange.Variance` Returns: `float`	Computes the variance. Returns: `float`

StudentizedRange Type

Static members

Example

Example

Example

Example