Outliers (FSharp.Stats) | FSharp.Stats

FSharp.Stats

Outliers Module

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

Functions and values

Function or value	Description
`populationIntervalByZScore minZ maxZ ls` Full Usage: `populationIntervalByZScore minZ maxZ ls` Parameters: minZ : `float` - maxZ : `float` - ls : `float list` - Returns: `Interval<float>`	Returns a population interval according to desired max and min Z Score values minZ : `float` maxZ : `float` ls : `float list` Returns: `Interval<float>` Example
`sampleIntervalByZscore minZ maxZ ls` Full Usage: `sampleIntervalByZscore minZ maxZ ls` Parameters: minZ : `float` - maxZ : `float` - ls : `float list` - Returns: `Interval<float>`	Returns a sample interval according to desired max and min Z Score values minZ : `float` maxZ : `float` ls : `float list` Returns: `Interval<float>` Example
`tukey k d` Full Usage: `tukey k d` Parameters: k : `float` - d : `float[]` - Returns: `Interval<float>`	Tukey's fences based on interquartile range. c defines the magnitude of interquartile range that is added/subtracted to Q3 and Q1 respectively. Commonly c is 1.5 for outliers and 3 for points 'far out' (Tukey 1977). k : `float` d : `float[]` Returns: `Interval<float>` Example
`zScore x m s` Full Usage: `zScore x m s` Parameters: x : `float` - m : `float` - s : `float` - Returns: `float`	Returns Z Score for an individual point. x - raw score(raw data) m - mean of the population s - standard deviation of the population x : `float` m : `float` s : `float` Returns: `float` Example
`zScoresOfPopulation ls` Full Usage: `zScoresOfPopulation ls` Parameters: ls : `float list` - Returns: `float list`	Returns a list of Z scores of a population ls : `float list` Returns: `float list` Example
`zScoresOfSample ls` Full Usage: `zScoresOfSample ls` Parameters: ls : `float list` - Returns: `float list`	Returns a list of Z scores of a sample ls : `float list` Returns: `float list` Example