divides numeric values into a set of disjoint intervals
computes bivariate ranks
computes correlation statistics
scales a correlation matrix into a covariance matrix
counts the number of missing values
counts the number of nonmissing values
returns the number of unique values
computes the sample variance-covariance matrix
scales a covariance matrix into a correlation matrix
computes cumulative sums
computes cumulative products
computes the sample coefficient of variation
creates a design matrix
creates a full-rank design matrix
computes pairwise distances betweens rows of a matrix
computes geometric means
creates a Hadamard matrix
computes harmonic means
performs an iterative proportional fit of a contingency table
computes the sample kurtosis
performs linear least absolute value regression by solving the norm minimization problem
performs robust least median of squares (LMS) regression
performs robust least trimmed squares (LTS) regression
finds the univariate (scaled) median absolute deviation
computes Mahalanobis distance
evaluates marginal totals in a multiway contingency table
computes the subsets of a matrix system that maximize the quadratic form
finds the minimum covariance determinant estimator
computes sample means
finds the minimum volume ellipsoid estimator
rescales qualitative data to be a least squared fit to qualitative data
computes sample quantiles (percentiles)
returns the range of values for a set of matrices.
ranks elements of a matrix, breaking ties arbitrarily
ranks elements of a matrix
performs discrete sequential tests
performs estimates of scales associated with discrete sequential tests
performs estimates of means associated with discrete sequential tests
computes the sample skewness
computes the sample standard deviation
counts the number of unique values in a vector
sweeps a matrix
computes the sample variance
You can also call functions in Base SAS software such as those documented in the section Descriptive Statistics Functions and Subroutines.