Upstream montanaflynn/stats state of the touched files before 9ead4dd879
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package stats
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import "math"
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// Quartiles holds the three quartile points
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type Quartiles struct {
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Q1 float64
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Q2 float64
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Q3 float64
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}
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// Quartile returns the three quartile points from a slice of data
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func Quartile(input Float64Data) (Quartiles, error) {
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il := input.Len()
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if il == 0 {
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return Quartiles{}, EmptyInputErr
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}
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// Start by sorting a copy of the slice
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copy := sortedCopy(input)
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// Find the cutoff places depeding on if
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// the input slice length is even or odd
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var c1 int
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var c2 int
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if il%2 == 0 {
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c1 = il / 2
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c2 = il / 2
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} else {
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c1 = (il - 1) / 2
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c2 = c1 + 1
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}
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// Find the Medians with the cutoff points
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Q1, _ := Median(copy[:c1])
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Q2, _ := Median(copy)
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Q3, _ := Median(copy[c2:])
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return Quartiles{Q1, Q2, Q3}, nil
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}
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// InterQuartileRange finds the range between Q1 and Q3
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func InterQuartileRange(input Float64Data) (float64, error) {
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if input.Len() == 0 {
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return math.NaN(), EmptyInputErr
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}
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qs, _ := Quartile(input)
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iqr := qs.Q3 - qs.Q1
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return iqr, nil
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}
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// Midhinge finds the average of the first and third quartiles
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func Midhinge(input Float64Data) (float64, error) {
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if input.Len() == 0 {
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return math.NaN(), EmptyInputErr
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}
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qs, _ := Quartile(input)
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mh := (qs.Q1 + qs.Q3) / 2
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return mh, nil
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}
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// Trimean finds the average of the median and the midhinge
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func Trimean(input Float64Data) (float64, error) {
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if input.Len() == 0 {
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return math.NaN(), EmptyInputErr
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}
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c := sortedCopy(input)
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q, _ := Quartile(c)
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return (q.Q1 + (q.Q2 * 2) + q.Q3) / 4, nil
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}
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@@ -0,0 +1,84 @@
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package stats_test
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import (
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"testing"
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"github.com/montanaflynn/stats"
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)
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func TestQuartile(t *testing.T) {
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s1 := []float64{6, 7, 15, 36, 39, 40, 41, 42, 43, 47, 49}
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s2 := []float64{7, 15, 36, 39, 40, 41}
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for _, c := range []struct {
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in []float64
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Q1 float64
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Q2 float64
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Q3 float64
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}{
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{s1, 15, 40, 43},
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{s2, 15, 37.5, 40},
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} {
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quartiles, err := stats.Quartile(c.in)
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if err != nil {
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t.Errorf("Should not have returned an error")
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}
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if quartiles.Q1 != c.Q1 {
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t.Errorf("Q1 %v != %v", quartiles.Q1, c.Q1)
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}
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if quartiles.Q2 != c.Q2 {
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t.Errorf("Q2 %v != %v", quartiles.Q2, c.Q2)
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}
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if quartiles.Q3 != c.Q3 {
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t.Errorf("Q3 %v != %v", quartiles.Q3, c.Q3)
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}
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}
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_, err := stats.Quartile([]float64{})
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if err == nil {
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t.Errorf("Empty slice should have returned an error")
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}
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}
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func TestInterQuartileRange(t *testing.T) {
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s1 := []float64{102, 104, 105, 107, 108, 109, 110, 112, 115, 116, 118}
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iqr, _ := stats.InterQuartileRange(s1)
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if iqr != 10 {
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t.Errorf("IQR %v != 10", iqr)
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}
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_, err := stats.InterQuartileRange([]float64{})
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if err == nil {
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t.Errorf("Empty slice should have returned an error")
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}
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}
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func TestMidhinge(t *testing.T) {
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s1 := []float64{1, 3, 4, 4, 6, 6, 6, 6, 7, 7, 7, 8, 8, 9, 9, 10, 11, 12, 13}
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mh, _ := stats.Midhinge(s1)
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if mh != 7.5 {
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t.Errorf("Midhinge %v != 7.5", mh)
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}
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_, err := stats.Midhinge([]float64{})
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if err == nil {
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t.Errorf("Empty slice should have returned an error")
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}
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}
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func TestTrimean(t *testing.T) {
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s1 := []float64{1, 3, 4, 4, 6, 6, 6, 6, 7, 7, 7, 8, 8, 9, 9, 10, 11, 12, 13}
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tr, _ := stats.Trimean(s1)
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if tr != 7.25 {
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t.Errorf("Trimean %v != 7.25", tr)
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}
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_, err := stats.Trimean([]float64{})
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if err == nil {
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t.Errorf("Empty slice should have returned an error")
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}
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}
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