Statistical function iterators.
var ns = require( '@stdlib/stats/iter' );Namespace containing functions for computing statistics over iterators.
var o = ns;
// returns {...}itercugmean( iterator ): create an iterator which iteratively computes a cumulative geometric mean.itercuhmean( iterator ): create an iterator which iteratively computes a cumulative harmonic mean.itercumax( iterator ): create an iterator which iteratively computes a cumulative maximum value.itercumaxabs( iterator ): create an iterator which iteratively computes a cumulative maximum absolute value.itercumean( iterator ): create an iterator which iteratively computes a cumulative arithmetic mean.itercumeanabs( iterator ): create an iterator which iteratively computes a cumulative arithmetic mean of absolute values.itercumeanabs2( iterator ): create an iterator which iteratively computes a cumulative arithmetic mean of squared absolute values.itercumidrange( iterator ): create an iterator which iteratively computes a cumulative mid-range.itercumin( iterator ): create an iterator which iteratively computes a cumulative minimum value.itercuminabs( iterator ): create an iterator which iteratively computes a cumulative minimum absolute value.itercuprod( iterator ): create an iterator which iteratively computes a cumulative product.itercurange( iterator ): create an iterator which iteratively computes a cumulative range.itercusum( iterator ): create an iterator which iteratively computes a cumulative sum.itercusumabs( iterator ): create an iterator which iteratively computes a cumulative sum of absolute values.itercusumabs2( iterator ): create an iterator which iteratively computes a cumulative sum of squared absolute values.itermax( iterator ): compute the maximum value of all iterated values.itermaxabs( iterator ): compute the maximum absolute value of all iterated values.itermean( iterator ): compute the arithmetic mean over all iterated values.itermeanabs( iterator ): compute the arithmetic mean of absolute values for all iterated values.itermeanabs2( iterator ): compute the arithmetic mean of squared absolute values for all iterated values.itermidrange( iterator ): compute the mid-range of all iterated values.itermin( iterator ): compute the minimum value of all iterated values.iterminabs( iterator ): compute the minimum absolute value of all iterated values.itermmax( iterator, W ): create an iterator which iteratively computes a moving maximum value.itermmaxabs( iterator, W ): create an iterator which iteratively computes a moving maximum absolute value.itermmean( iterator, W ): create an iterator which iteratively computes a moving arithmetic mean.itermmeanabs( iterator, W ): create an iterator which iteratively computes a moving arithmetic mean of absolute values.itermmeanabs2( iterator, W ): create an iterator which iteratively computes a moving arithmetic mean of squared absolute values.itermmidrange( iterator, W ): create an iterator which iteratively computes a moving mid-range.itermmin( iterator, W ): create an iterator which iteratively computes a moving minimum value.itermminabs( iterator, W ): create an iterator which iteratively computes a moving minimum absolute value.itermprod( iterator, W ): create an iterator which iteratively computes a moving product.itermrange( iterator, W ): create an iterator which iteratively computes a moving range.itermsum( iterator, W ): create an iterator which iteratively computes a moving sum.itermsumabs( iterator, W ): create an iterator which iteratively computes a moving sum of absolute values.itermsumabs2( iterator, W ): create an iterator which iteratively computes a moving sum of squared absolute values.iterprod( iterator ): compute the product of all iterated values.iterrange( iterator ): compute the range of all iterated values.iterstdev( iterator[, mean] ): compute the corrected sample standard deviation over all iterated values.itersum( iterator ): compute the sum of all iterated values.itersumabs( iterator ): compute the sum of absolute values for all iterated values.itersumabs2( iterator ): compute the sum of squared absolute values for all iterated values.itervariance( iterator[, mean] ): compute the unbiased sample variance over all iterated values.
var getKeys = require( '@stdlib/utils/keys' );
var ns = require( '@stdlib/stats/iter' );
console.log( getKeys( ns ) );