Sample

Sample is a Go package to calculate useful values from samples of statistical populations, including:

• the sample mean

• the sample-based unbiased estimation of the standard deviation of the population

• the standard error of the mean

• the confidence intervals of the mean, assuming the samples comes from a Normal distribution of unknown variance

The standard Go float64 type is used in all computations.

This package does not take advantage of multicore architectures.

Import

import "github.com/alcortesm/sample"

Examples

package main

import (
	"fmt"
	"log"

	"github.com/alcortesm/sample"
)

func main() {
	data := []float64{1.1, 0.9, 1.1, 1.3, 1.0}

	// ignoring errors for demonstration purposes
	mean, _ := sample.Mean(data)
	fmt.Println(mean) // 1.08

	sd, _ := sample.StandardDeviation(data)
	fmt.Println(sd) // 0.15

	se, _ := sample.StandardError(data)
	fmt.Println(se) // 0.07

	confidence := 0.95
	ci, _ := sample.MeanConfidenceIntervals(data, confidence)
	fmt.Printf("[%1.2f, %1.2f]\n", ci[0], ci[1]) // [0.90, 1.26]
}

Author

• Alberto Cortés alcortesm@gmail.com.

License

This project is licensed under the MIT License - see the LICENSE file for details.