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package stats_test
import (
"fmt"
"math"
"testing"
"github.com/montanaflynn/stats"
)
func ExampleCorrelation() {
s1 := []float64{1, 2, 3, 4, 5}
s2 := []float64{1, 2, 3, 5, 6}
a, _ := stats.Correlation(s1, s2)
rounded, _ := stats.Round(a, 5)
fmt.Println(rounded)
// Output: 0.99124
}
func TestCorrelation(t *testing.T) {
s1 := []float64{1, 2, 3, 4, 5}
s2 := []float64{10, -51.2, 8}
s3 := []float64{1, 2, 3, 5, 6}
s4 := []float64{}
s5 := []float64{0, 0, 0}
testCases := []struct {
name string
input [][]float64
output float64
err error
}{
{"Empty Slice Error", [][]float64{s4, s4}, math.NaN(), stats.EmptyInputErr},
{"Different Length Error", [][]float64{s1, s2}, math.NaN(), stats.SizeErr},
{"Correlation Value", [][]float64{s1, s3}, 0.9912407071619302, nil},
{"Same Input Value", [][]float64{s5, s5}, 0.00, nil},
}
for _, tc := range testCases {
t.Run(tc.name, func(t *testing.T) {
a, err := stats.Correlation(tc.input[0], tc.input[1])
if err != nil {
if err != tc.err {
t.Errorf("Should have returned error %s", tc.err)
}
} else if !veryclose(a, tc.output) {
t.Errorf("Result %.08f should be %.08f", a, tc.output)
}
a2, err2 := stats.Pearson(tc.input[0], tc.input[1])
if err2 != nil {
if err2 != tc.err {
t.Errorf("Should have returned error %s", tc.err)
}
} else if !veryclose(a2, tc.output) {
t.Errorf("Result %.08f should be %.08f", a2, tc.output)
}
})
}
}
func ExampleAutoCorrelation() {
s1 := []float64{1, 2, 3, 4, 5}
a, _ := stats.AutoCorrelation(s1, 1)
fmt.Println(a)
// Output: 0.4
}
func TestAutoCorrelation(t *testing.T) {
s1 := []float64{1, 2, 3, 4, 5}
s2 := []float64{}
a, err := stats.AutoCorrelation(s1, 1)
if err != nil {
t.Errorf("Should not have returned an error")
}
if a != 0.4 {
t.Errorf("Should have returned 0.4")
}
_, err = stats.AutoCorrelation(s2, 1)
if err != stats.EmptyInputErr {
t.Errorf("Should have returned empty input error")
}
}
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