func newMeanVars(size int) []*meanvar.MeanVar {
mvs := make([]*meanvar.MeanVar, size)
for i := range mvs {
mvs[i] = meanvar.New()
}
return mvs
}
// NewMeanVariances return a new MeanVariances of length maxl.
func NewMeanVariances(size int) *MeanVariances {
mcc := MeanVariances{}
for i := 0; i < size; i++ {
mv := meanvar.New()
mcc.meanvars = append(mcc.meanvars, mv)
}
return &mcc
}
func (cmd *cmdCr) collect(covsChan chan []Covariance) (covMVs, xMVs, yMVs []*meanvar.MeanVar) {
covMVs = make([]*meanvar.MeanVar, cmd.maxl)
xMVs = make([]*meanvar.MeanVar, cmd.maxl)
yMVs = make([]*meanvar.MeanVar, cmd.maxl)
for i := range covMVs {
covMVs[i] = meanvar.New()
xMVs[i] = meanvar.New()
yMVs[i] = meanvar.New()
}
for covs := range covsChan {
for i := range covs {
n := covs[i].GetN()
v := covs[i].GetResult()
if n > 10 && !math.IsNaN(v) {
covMVs[i].Increment(v)
xMVs[i].Increment(covs[i].MeanX())
yMVs[i].Increment(covs[i].MeanY())
}
}
}
return
}
