ak9im/p2/run.go

package main

import (
	"flag"
	"log"
	"os"

	"git.dotya.ml/wanderer/ak9im/p2/stats"
)

var datafile = flag.String("datafile", "", "read data from this file")

func run() error {
	flag.Parse()

	if *datafile != "" {
		f, err := os.Open(*datafile)
		if err != nil {
			return err
		}

		defer f.Close()

		data, err := readData(f)
		if err != nil {
			return err
		}

		u := 0
		y := 1

		meanU := stats.Mean(data[u])
		meanY := stats.Mean(data[y])
		varianceU := stats.Variance(data[u])
		varianceY := stats.Variance(data[y])

		maxShift := 0.1
		autocorrelationU := stats.Autocorrelate(data[u], maxShift)
		autocorrelationY := stats.Autocorrelate(data[y], maxShift)

		mutCorrelationUY, err := stats.MutCorrelate(data[u], data[y], maxShift)
		if err != nil {
			return err
		}

		log.Printf("len(data): %d", len(data[u]))

		log.Printf("means - u: %v, y: %v", meanU, meanY)

		log.Printf("variance - u: %v, y: %v", varianceU, varianceY)

		log.Printf("len(autocorrelationU): %d", len(autocorrelationU))
		log.Printf("autocorrelationU: %v", autocorrelationU)
		log.Printf("autocorrelationY: %v", autocorrelationY)
		log.Printf("mutual correlation U,Y: %v", mutCorrelationUY)
	}

	return nil
}