class RegrSXX(y, x) [source] Returns sum(x^2) - sum(x)^2/N (“sum of squares”
class RegrAvgY(y, x) [source] Returns the average of the dependent variable (sum(y)/N)
class BoolOr(expression, **extra) [source] Returns True if at least one input
delimiter Required argument. Needs to be a string.
class BoolAnd(expression, **extra) [source] Returns True, if all input values
class StringAgg(expression, delimiter) [source] Returns the input values concatenated into
class RegrSlope(y, x) [source] Returns the slope of the least-squares-fit linear equation
class ArrayAgg(expression, **extra) [source] Returns a list of values, including nulls, concatenated
class RegrIntercept(y, x) [source] Returns the y-intercept of the least-squares-fit linear
class Corr(y, x) [source] Returns the correlation coefficient as a float, or
Page 1 of 2