Library "ArrayStatistics" Statistic Functions using arrays.
rms(sample) Root Mean Squared Parameters:
sample: float array, data sample points.
Returns: float
skewness_pearson1(sample) Pearson's 1st Coefficient of Skewness. Parameters:
sample: float array, data sample.
Returns: float
skewness_pearson2(sample) Pearson's 2nd Coefficient of Skewness. Parameters:
sample: float array, data sample.
Returns: float
pearsonr(sample_a, sample_b) Pearson correlation coefficient measures the linear relationship between two datasets. Parameters:
sample_a: float array, sample with data.
sample_b: float array, sample with data.
Returns: float p
kurtosis(sample) Kurtosis of distribution. Parameters:
sample: float array, data sample.
Returns: float
range_int(sample, percent) Get range around median containing specified percentage of values. Parameters:
sample: int array, Histogram array.
percent: float, Values percentage around median.
Returns: tuple with [int, int], Returns the range which containes specifies percentage of values.
Notes de version
⋅
added new function: average_weighted(sample, weights) Computes a weighted average (the mean, where each value is weighted by its relative importance). Parameters: sample: float array, data sample. weights: float array, weights to apply to samples. Returns: float
Notes de version
⋅
v3 Updated: display examples on chart. Added: arithmetic_geometric_mean_simple(value_a, value_b, tolerance_value) Calculate the arithmetic-geometric mean of two numbers (_value_a, _value_b). Parameters: value_a: float, number value. value_b: float, number value. tolerance_value: float, number value, default=1e-12. Returns: float
arithmetic_geometric_mean(sample, tolerance_value) Computes the arithmetic geometric mean of a sequence of values. Parameters: sample: float array, data sample. tolerance_value: float, number value, default=1e-12. Returns: float
Notes de version
⋅
v4
Added: zscore_simple(value, mean, deviation) Computes the simple version of the z-score formula. Parameters: value: float, data value. mean: float, data mean. deviation: float, the standard deviation of the data. Returns: float.
zscore(sample) Computes the z-score of a data sample values. Parameters: sample: float array, data values. Returns: float array.
Notes de version
⋅
v5
Updated: arithmetic_geometric_mean() was not computed correctly, thank you, InvestCHK for pointing it out.