Module sci_rs::stats

Statistics

Functions

• autocorr
  Autocorrelate the signal y with lag k, using 1/N formulation
• autocorr_fast32
  Unscaled tiled autocorrelation of signal y with itself into x.
• lag_diff
  Produce an iterator yielding the lag difference, yi1 - yi0,
• mean
  Compute the mean of the signal, y
• median
  Compute the median of the signal, y
• median_abs_deviation
  The median absolute deviation (MAD, [1]) computes the median over the absolute deviations from the median. It is a measure of dispersion similar to the standard deviation but more robust to outliers
• mod_zscore
  Compute the modified Z-score of each value in the sample, relative to the sample median over the mean absolute deviation.
• rms_fast32
  Root Mean Square (RMS) of signal y.
• rmssd
  Compute the root mean square of successive differences
• stdev
  Compute the standard deviation of the signal, y
• variance
  Compute the variance of the signal, y
• zscore
  Compute the z score of each value in the sample, relative to the sample mean and standard deviation.