RowBased Functions
For most DolphinDB functions that are applicable to matrices or tables, the calculation is usually conducted based on columns. To calculate on rows, you can use rowbased functions.
Introduction

Higherorder function byRow:
byRow(func, X)

Syntax template for unary rowbased functions:
rowFunc(args…)
Additional unary function template (released with version 2.00.10)
rowFunc(X)
Parameters:
args can be a scalar/matrix, or one or more vectors/tuples/tables or their combination. The length of vector, the number of elements of a tuple, and the number of table columns must be the same.
Note: If args is a matrix, return a vector of the same length as the number of rows of the matrix. Please note that multiple matrices are not supported in row functions.
X is a matrix, array vector, columnar tuple, or tuple with equallength vectors. Note that the following functions do not support tuple with equallength vectors:
rowRank
,rowDenseRank
,rowMove
,rowNext
,rowPrev
. 
Syntax template for binary rowbased functions:
rowFunc(X, Y)
Parameters:
X and Y are matrices/numeric vectors/array vectors of the same size.
The following binary functions accept two columnar tuples as arguments:
rowWavg
,rowCorr
,rowCovar
,rowBeta
, androwWsum
,rowCumwsum
.
List of Functions
Calculation Rules
To calculate on different data forms, please see the following example.
vec = [1,2,3]
vec_tuple = [[3,4,5],[4,5,6]]
tb = table(7 8 9 as id, 8 9 10 as code)
print rowSum(vec, vec_tuple, tb)
// output
[23, 28, 33]
To calculation on a matrix:
m = matrix(4 2 1 3 5 8, 1 2 5 9 0 1, 3 6 3 2 1 5)
print rowSum(m)
// output
[8, 10, 9, 14, 6, 14]