Language Reference
Statistical Functions
- BIN function
-
divides numeric values into a set of disjoint intervals
- BRANKS function
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computes bivariate ranks
- CORR function
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computes correlation statistics
- CORR2COV function
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scales a correlation matrix into a covariance matrix
- COUNTMISS function
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counts the number of missing values
- COUNTN function
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counts the number of nonmissing values
- COUNTUNIQUE function
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returns the number of unique values
- COV function
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computes the sample variance-covariance matrix
- COV2CORR function
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scales a covariance matrix into a correlation matrix
- CUSUM function
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computes cumulative sums
- CUPROD function
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computes cumulative products
- CV function
-
computes the sample coefficient of variation
- DESIGN function
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creates a design matrix
- DESIGNF function
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creates a full-rank design matrix
- DISTANCE function
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computes pairwise distances betweens rows of a matrix
- GEOMEAN function
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computes geometric means
- HADAMARD function
-
creates a Hadamard matrix
- HARMEAN function
-
computes harmonic means
- IPF call
-
performs an iterative proportional fit of a contingency table
- KURTOSIS function
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computes the sample kurtosis
- LAV call
-
performs linear least absolute value regression by solving the
norm minimization problem
- LMS call
-
performs robust least median of squares (LMS) regression
- LTS call
-
performs robust least trimmed squares (LTS) regression
- MAD function
-
finds the univariate (scaled) median absolute deviation
- Mahalanobis function
-
computes Mahalanobis distance
- MARG call
-
evaluates marginal totals in a multiway contingency table
- MAXQFORM call
-
computes the subsets of a matrix system that maximize the quadratic form
- MCD call
-
finds the minimum covariance determinant estimator
- MEAN function
-
computes sample means
- MVE call
-
finds the minimum volume ellipsoid estimator
- OPSCAL function
-
rescales qualitative data to be a least squared fit to qualitative data
- QNTL call
-
computes sample quantiles (percentiles)
- RANGE function
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returns the range of values for a set of matrices.
- RANK function
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ranks elements of a matrix, breaking ties arbitrarily
- RANKTIE function
-
ranks elements of a matrix
- SEQ call
-
performs discrete sequential tests
- SEQSCALE call
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performs estimates of scales associated with discrete sequential tests
- SEQSHIFT call
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performs estimates of means associated with discrete sequential tests
- SKEWNESS function
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computes the sample skewness
- STD function
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computes the sample standard deviation
- TABULATE call
-
counts the number of unique values in a vector
- SWEEP function
-
sweeps a matrix
- VAR function
-
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.