java.lang.Object
- tech.v3.datatype.Stats

public class Stats
extends java.lang.Object

Simple NaN-aware statstical methods.

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method	Description
`static java.util.Map`	`descriptiveStatistics(java.lang.Object statsNames, java.lang.Object data)`	Return a map of descriptive stat name to statistic.
`static double`	`kendallsCorrelation(java.lang.Object lhs, java.lang.Object rhs)`
`static double`	`kurtosis(java.lang.Object data)`
`static double`	`max(java.lang.Object data)`
`static double`	`mean(java.lang.Object data)`	High quality parallelized mean using kahas compensation.
`static double`	`median(java.lang.Object data)`
`static double`	`min(java.lang.Object data)`
`static double`	`pearsonsCorrelation(java.lang.Object lhs, java.lang.Object rhs)`
`static tech.v3.datatype.Buffer`	`percentiles(java.lang.Object percentages, java.lang.Object data)`	Create a reader of percentile values, one for each percentage passed in.
`static tech.v3.datatype.Buffer`	`quartiles(java.lang.Object data)`
`static double`	`skew(java.lang.Object data)`
`static double`	`spearmansCorrelation(java.lang.Object lhs, java.lang.Object rhs)`
`static double`	`stddev(java.lang.Object data)`
`static double`	`sum(java.lang.Object data)`	High quality parallelized summation using kahas compensation.
`static double`	`variance(java.lang.Object data)`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

descriptiveStatistics

public static java.util.Map descriptiveStatistics(java.lang.Object statsNames,
                                                  java.lang.Object data)

Return a map of descriptive stat name to statistic. Statistic names are described with keywords. All stats methods are NaN aware meaning nan's are removed before calculation.e

Available stats:

 [:min :quartile-1 :sum :mean :mode :median :quartile-3 :max
  :variance :standard-deviation :skew :n-values :kurtosis}

percentiles

public static tech.v3.datatype.Buffer percentiles(java.lang.Object percentages,
                                                  java.lang.Object data)

Create a reader of percentile values, one for each percentage passed in.

quartiles

public static tech.v3.datatype.Buffer quartiles(java.lang.Object data)

Returns:

percentiles(vector(min, 25, 50, 75, max), item)

.

min

public static double min(java.lang.Object data)

max

public static double max(java.lang.Object data)

sum
```
public static double sum(java.lang.Object data)
```
High quality parallelized summation using kahas compensation.

mean
```
public static double mean(java.lang.Object data)
```
High quality parallelized mean using kahas compensation.

median

public static double median(java.lang.Object data)

variance

public static double variance(java.lang.Object data)

stddev

public static double stddev(java.lang.Object data)

skew

public static double skew(java.lang.Object data)

kurtosis

public static double kurtosis(java.lang.Object data)

kendallsCorrelation

public static double kendallsCorrelation(java.lang.Object lhs,
                                         java.lang.Object rhs)

spearmansCorrelation

public static double spearmansCorrelation(java.lang.Object lhs,
                                          java.lang.Object rhs)

pearsonsCorrelation

public static double pearsonsCorrelation(java.lang.Object lhs,
                                         java.lang.Object rhs)

Class Stats