Moving

mLowRange	For each element Xi in a sliding window of X, count the continuous nearest neighbors to its left that are larger than Xi.
mTopRange	For each element Xi in a sliding window of X, count the continuous nearest neighbors to its left that are smaller than Xi.
mfirst	Return the first element of X in a sliding window.
mfirstNot	If X is a vector:
mifirstNot	Return the index of the first non-null element of X in a sliding window (based on the number of elements or time).
milastNot	Return the index of the last non-null element of X in a sliding window (based on the number of elements or time).
mlast	Return the last element of X in a sliding window.
mlastNot	If X is a vector:
mmax	Calculate the moving maximums of X in a sliding window.
mmaxPositiveStreak	Obtain the maximum value of the sum of consecutive positive numbers in X within a sliding window of given size (based on the number of elements).
mmed	Calculate the moving median of X in a sliding window.
mmin	Calculate the moving minimums of X in a sliding window.
mimax	Return the position of the element with the largest value in X in a sliding window.
mimin	Return the position of the element with the smallest value in X in a sliding window.
mmad	Calculate the average absolute deviation of X in a sliding window.
mcorr	Calculate the correlation of X and Y in a sliding window.
mcount	Return the number of non-null values of X in a sliding window.
mcovar	Calculate the moving covariance of X and Y in a sliding window.
mpercentile	Return the percentile rank of each element of X in a sliding window.
mprod	Calculate the moving products of X in a sliding window.
mrank	Return the rank of each element of X in a sliding window.
mskew	Calculate the moving skewness of X in a sliding window.
mslr	Conduct the simple least-squares regressions of Y on X in a sliding window.
mstd	Calculate the standard deviation of X in a sliding window.
mstdp	Calculate the population standard deviation of X in a sliding window.
msum	Calculate the moving sum of X in a sliding window.
msum2	Calculate the sum of squares of all elements of X in a sliding window (based on the number of elements or time).
mvar	Calculate the moving variances of X in a sliding window.
mvarp	Calculate the moving population variances of X in a sliding window.
mwavg	Calculate the moving averages of X with Y as weights in a sliding window.
mwsum	Calculate the moving sums of X with Y as weights in a sliding window.
movingTopNIndex	Return an array vector indicating the indices of the first top elements of X after sorted within each sliding window.
movingWindowIndex	Return an array vector indicating the indices of the elements of X within each sliding window.
mbeta	Calculate the coefficient estimate of an ordinary-least-squares regression of Y on X in a sliding window.
mkurtosis	Calculate the moving kurtosis of X in a sliding window.