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The matrix language can calculate several functions of standard statistical distributions using the same syntax and semantics as in PSPP transformation expressions. See Statistical Distribution Functions, for details.
The matrix language extends the PDF, CDF, SIG, IDF, NPDF, and NCDF
functions by allowing the first parameters to each of these functions
to be a vector or matrix with any dimensions. In addition,
CDF.BVNOR and PDF.BVNOR allow either or both of their
first two parameters to be vectors or matrices; if both are non-scalar
then they must have the same dimensions. In each case, the result is
a matrix or vector with the same dimensions as the input populated
with elementwise calculations.