CALC.frequency(data_array, bins_array)
CALC.binomdist(number_s, trials, probability_s, cumulative)
CALC.expondist(x, lambda, cumulative)
CALC.forecast(x, known_y_values, known_x_values)
CALC.frequency(data_array, bins_array)
CALC.hypgeomdist(sample_s, number_sample, population_s, number_population)
CALC.intercept(arrayY, arrayX)
CALC.negbinomdist(number_f, number_s, probability_s)
CALC.percentrank(array, x, significance)
CALC.permut(number, number_chosen)
CALC.poisson(x, mean, cumulative)
CALC.prob(arrayx, arrayprob, lower_limit, upper_limit)
CALC.rank(number, array, order)
CALC.rsq(known_y_values, known_x_values)
Calculates how often values occur within a range of values and then returns an array of numbers. Data_array is an array of or reference to a set of values for which you want to count frequencies. Bins_array is an array of or reference to intervals into which you want to group the values in Data_array.
Example
CALC.frequency([79,85,78,85,50,81,95,88,97],[70,79,89]);
// returns an array of length 4. Say the name of the array is 'freq'
// freq[0] = 1 (number of elements less than or equal to70)
// freq[1] = 2 (number of elements in range 70 -79) // freq[2] = 4 (number of elements in range 79 -89) // freq[3] = 2 (number of elements greater than or equal to 90)
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