StudentizedRange Type

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

StudentizedRange.Mean

Full Usage: StudentizedRange.Mean

Returns: float

Computes the mean.

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