public static IObservable<OnlineStatisticsInfo> Calculate(
IObservable<double> samples,
KnownStatistics defaultStatistics,
params AdditionalStatistic[] additionalStatistics)
{
var stats = new OnlineStatisticsInfo();
var all_stats = samples.Select(x => stats);
#region LastValue
if (defaultStatistics.HasFlag(KnownStatistics.LastValue))
{
var last_value = samples.Select(x => x);
all_stats =
all_stats.Zip(last_value, (stats_info, x) =>
{
stats_info.LastValue = x;
return stats_info;
});
}
#endregion
#region Count
if (defaultStatistics.HasFlag(KnownStatistics.Count))
{
var count = Count.Calculate(samples);
all_stats =
all_stats.Zip(count, (stats_info, x) =>
{
stats_info.Count = x;
return stats_info;
});
}
#endregion
#region Range | Min | Max
if (defaultStatistics.HasFlag(KnownStatistics.Min)
|| defaultStatistics.HasFlag(KnownStatistics.Max)
|| defaultStatistics.HasFlag(KnownStatistics.Range))
{
var range = Range.Calculate(samples);
all_stats =
all_stats.Zip(range, (stats_info, x) =>
{
stats.Range = x;
return stats_info;
});
}
#endregion
#region Std Dev | Variance | Mean
// std dev includes variance, no point calculating it twice
if (defaultStatistics.HasFlag(KnownStatistics.StdDev))
{
var std_dev = StdDev.Calculate(samples);
all_stats =
all_stats.Zip(std_dev, (stats_info, x) =>
{
stats.StdDev = x;
stats.Variance = x.Variance;
stats.Mean = x.Variance.Mean;
return stats_info;
});
}
else if(defaultStatistics.HasFlag(KnownStatistics.Variance) || defaultStatistics.HasFlag(KnownStatistics.Mean))
{
var variance = Variance.Calculate(samples);
all_stats =
all_stats.Zip(variance, (stats_info, x) =>
{
stats.Variance = x;
stats.Mean = x.Mean;
return stats_info;
});
}
#endregion
if (additionalStatistics != null)
{
foreach (var astat in additionalStatistics)
{
all_stats =
all_stats.Zip(astat.Calculate(samples), (stats_info, x) =>
{
stats_info.AdditionalStatisticsResults[astat.Key] = x;
return stats_info;
});
}
}
return all_stats;
}
public static IObservable<OnlineStatisticsInfo> Calculate(IObservable<double> samples, KnownStatistics defaultStatistics)
{
return Calculate(samples, defaultStatistics, null);
}