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// Copyright ©2018 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package stat_test
import (
"fmt"
"golang.org/x/exp/rand"
"gonum.org/v1/gonum/stat"
)
func ExampleLinearRegression() {
var (
xs = make([]float64, 100)
ys = make([]float64, 100)
weights []float64
)
line := func(x float64) float64 {
return 1 + 3*x
}
for i := range xs {
xs[i] = float64(i)
ys[i] = line(xs[i]) + 0.1*rand.NormFloat64()
}
// Do not force the regression line to pass through the origin.
origin := false
alpha, beta := stat.LinearRegression(xs, ys, weights, origin)
r2 := stat.RSquared(xs, ys, weights, alpha, beta)
fmt.Printf("Estimated offset is: %.6f\n", alpha)
fmt.Printf("Estimated slope is: %.6f\n", beta)
fmt.Printf("R^2: %.6f\n", r2)
// Output:
// Estimated offset is: 0.988572
// Estimated slope is: 3.000154
// R^2: 0.999999
}
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