QQPlot (FSharp.Stats)

QQPlot Type

Constructor	Description
`QQPlot()` Full Usage: `QQPlot()` Returns: `QQPlot`	Returns: `QQPlot`

Static member	Description
`QQPlot.toGauss (?Method, ?ZTransform)` Full Usage: `QQPlot.toGauss (?Method, ?ZTransform)` Parameters: ?Method : `QuantileMethod` ?ZTransform : `bool` Returns: `Vector<float> -> (float * float) seq`	Computes the quantile quantile coordinates of a sample distributions against a normal distribution. The sample can be z transformed. default = Rankit ?Method : `QuantileMethod` ?ZTransform : `bool` Returns: `Vector<float> -> (float * float) seq`
`QQPlot.toInvCDF (inverseCDF, ?Method)` Full Usage: `QQPlot.toInvCDF (inverseCDF, ?Method)` Parameters: inverseCDF : `float -> float` ?Method : `QuantileMethod` Returns: `float seq -> (float * float) seq`	Computes the quantile quantile coordinates of a sample distributions against a specified inverseCDF function. You can derive an inverse CDF of any statistical distribution. inverseCDF : `float -> float` ?Method : `QuantileMethod` Returns: `float seq -> (float * float) seq`
`QQPlot.toUniform (?Method, ?Standardize)` Full Usage: `QQPlot.toUniform (?Method, ?Standardize)` Parameters: ?Method : `QuantileMethod` ?Standardize : `bool` Returns: `Vector<float> -> (float * float) seq`	Computes the quantile quantile coordinates of a sample distributions against a normal distribution. The sample can be standardized to the range between 0 and 1. default = Rankit ?Method : `QuantileMethod` ?Standardize : `bool` Returns: `Vector<float> -> (float * float) seq`