ak9im/p2/run.go

52 lines
1.1 KiB
Go

package main
import (
"flag"
"log"
"git.dotya.ml/wanderer/ak9im/p2/stats"
)
var datafile = flag.String("datafile", "", "read data from this file")
func run() error {
flag.Parse()
if *datafile != "" {
data, err := readFile(datafile)
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
}