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Feature/#7 numeric functions (#116)

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* #7 Added ABS

* #7 Added ACOS

* #7 Added ASIN

* #7 Added ATAN

* #7 Added ATAN2

* #7 Added AVERAGE

* #7 Added CEIL

* #7 Added COS

* #7 Added DEGREES

* #7 Added EXP

* #7 Added EXP2

* #7 Added FLOOR

* #7 Added LOG

* #7 Added LOG2

* #7 Added LOG10

* #7 Added MAX

* #7 Added MEDIAN

* #7 Added MIN

* #7 Added PERCENTILE

* #7 Added PI

* #7 Added POW

* #7 Added RADIANS

* #7 Added RAND

* #7 Added RANGE

* #7 Added ROUND

* #7 Added SIN

* #7 Added SQRT

* #7 Added TAN

* #7 Added SUM

* #7 Added STDDEV_POPULATION

* #7 Added STDDEV_SAMPLE, VARIANCE_POPULATION, VARIANCE_SAMPLE
This commit is contained in:
Tim Voronov
2018-10-13 21:07:28 -04:00
committed by GitHub
parent 2417be3f9d
commit 5f94b77a39
74 changed files with 2466 additions and 0 deletions
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36
pkg/stdlib/math/variance_sample.go Normal file
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@@ -0,0 +1,36 @@
package math
import (
"context"
"github.com/MontFerret/ferret/pkg/runtime/core"
"github.com/MontFerret/ferret/pkg/runtime/values"
"math"
)
/*
* Returns the sample variance of the values in a given array.
* @params (Array) - Array of numbers.
* @returns (Float) - The sample variance.
*/
func SampleVariance(_ context.Context, args ...core.Value) (core.Value, error) {
var err error
err = core.ValidateArgs(args, 1, 1)
if err != nil {
return values.None, err
}
err = core.ValidateType(args[0], core.ArrayType)
if err != nil {
return values.None, err
}
arr := args[0].(*values.Array)
if arr.Length() == 0 {
return values.NewFloat(math.NaN()), nil
}
return variance(arr, values.NewInt(1))
}