SPSS® 12.0 Command Syntax Reference

mean of the applicable ranks. For example, if:
– 1 – 21.7 8
M = 0 3.91 – 21.7 , then: RNKORDER( M)
=
8 9 10
MATRIX—END MATRIX 933
3 1.5 6.5
4 5 1.5
6.5 8 9
RSSQ(M) Row sums of squares. Takes a single argument. Returns a column
vector having the same number of rows as the argument. Each row of
the result contains the sum of the squared values of the elements in the
corresponding row of the argument.
RSUM(M) Row sums. Takes a single argument. Returns a column vector having the
same number of rows as the argument. Each row of the result contains
the sum of the elements in the corresponding row of the argument.
SIN(M) Sines. Takes a single argument. Returns a matrix having the same
dimensions as the argument, containing the sines of the elements of
the argument. Elements of the argument matrix are assumed to be
measured in radians. To convert degrees to radians, multiply by
π ⁄ 180 , which you can compute as ARTAN( 1)
⁄
45 . For example, the
statement COMPUTE SINES=SIN(DEGREES*ARTAN(1)/45)
computes sines from a matrix containing elements measured in
degrees.
SOLVE(M1,M2) Solution of systems of linear equations. Takes two arguments, the first
of which must be square and nonsingular (its determinant must be
nonzero), and the second of which must have the same number of rows
as the first. Returns a matrix with the same dimensions as the second
argument. If M1*X=M2, then X=SOLVE(M1, M2). In effect, this function
sets its result X equal to INV(M1)*M2.
SQRT(M) Square roots of elements. Takes a single argument, whose elements
must not be negative. Returns a matrix having the same dimensions as
the arguments, whose elements are the positive square roots of the
corresponding elements of the argument.
SSCP(M) Sums of squares and cross-products. Takes a single argument. Returns
a square matrix having as many rows (and columns) as the argument
has columns. SSCP(M) equals T(M)*M, where T is the transpose function
defined below.
SVAL(M) Singular values of a matrix. Takes a single argument. Returns a
column vector containing as many rows as the minimum of the
numbers of rows and columns in the argument, containing the singular
values of the argument in decreasing numerical order. The singular
values of a matrix M are the square roots of the eigenvalues of
T(M)*M, where T is the transpose function discussed below.
SWEEP(M,S) Sweep transformation of a matrix. Takes two arguments, a matrix and
a scalar, which must be less than or equal to both the number of rows