// ComputeStats updates the derived statistics in s from the raw
// samples in s.Values.
func (stat *Benchstat) ComputeStats() {
// Discard outliers.
values := stats.Sample{Xs: stat.Values}
q1, q3 := values.Percentile(0.25), values.Percentile(0.75)
lo, hi := q1-1.5*(q3-q1), q3+1.5*(q3-q1)
for _, value := range stat.Values {
if lo <= value && value <= hi {
stat.RValues = append(stat.RValues, value)
}
}
// Compute statistics of remaining data.
stat.Min, stat.Max = stats.Bounds(stat.RValues)
stat.Mean = stats.Mean(stat.RValues)
stat.StdDev = stats.StdDev(stat.RValues)
}
// ComputeStats updates the derived statistics in s from the raw
// samples in s.Values.
func (stat *Benchstat) ComputeStats() {
stat.Mean = stats.Mean(stat.Values)
}