Row-Based

rowAlign	The rowAlign function aligns corresponding rows from left and right based on their values.
rowAnd	For each row (a vector is viewed as a one-column matrix here), return 1 if all rows of all input variables are true; otherwise return 0.
rowAt
rowAvg	Calculate the average of each row of the arguments.
rowBeta	Calculate the coefficient estimate of the ordinary-least-squares regression of Y on X by row and return a vector with the same number of rows of X.
rowCorr	Calculate the correlation between X and Y by row and return a vector with the same number of rows of X.
rowCovar	Calculate the covariance between X and Y by row and return a vector with the same number of rows of X.
rowCount	Return the number of non-null elements in each row of the arguments.
rowDenseRank	rowDenseRank can be viewed as function denseRank applied on rows instead of columns.
rowDot	If both X and Y are vectors/matrices, calculate the inner product between X and Y by row.
rowEuclidean	If both X and Y are vectors/matrices, calculate the Euclidean distance between X and Y by row.
rowImax	Return the index of the maximum in each row.
rowImin	Return the index of the minimum in each row.
rowKurtosis	Return the kurtosis of each row in X.
rowMax	Calculate the maximum value of each row of the arguments.
rowMin	Calculate the minimum value of each row of the arguments.
rowMove	The rowMove function shifts the elements in each row of X left or right by a specified number of steps.
rowNext	For each row in X, rowNext shifts the elements to the left for one position.
rowPrev	For each row in X, rowPrev shifts the elements to the right for one position.
rowProd	Calculate the product of each row of the arguments.
rowRank	Conduct the following operation within each row of matrix X:
rowSkew	Return the skewness of each row in X.
rowStd	Calculate the (sample) standard deviation of each row of the arguments.
rowStdp	Calculate the population standard deviation of each row.
rowSum	Calculate the sum of each row of the arguments.
rowSum2	Calculate the sum of square of all elements in each row of the arguments.
rowTanimoto	If both X and Y are vectors/matrices, calculate the tanimoto distance between X and Y by row.
rowVar	Calculate the (sample) variance of each row of the arguments.
rowVarp	Calculate the population variance of each row.
rowWavg	Calculate the weighted average of X by row with Y as the weights and return a vector with the same number of rows of X.
rowWsum	For each row, return 1 if odd number of columns are true; otherwise return 0.
rowSize	Calculate the number of elements (null values included) of each row.