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GAMS Classification for the NAG Library
NAG Library Manual

L1a1 : Raw data

G01ALF    Computes a five-point summary (median, hinges and extremes)
G01AMF    Find quantiles of an unordered vector, real numbers
G01ANF    Calculates approximate quantiles from a data stream of known size
G01APF    Calculates approximate quantiles from a data stream of unknown size
G01ATF    Computes univariate summary information: mean, variance, skewness, kurtosis
G01WAF    Computes the mean and standard deviation using a rolling window
G07DAF    Robust estimation, median, median absolute deviation, robust standard deviation
G07DBF    Robust estimation, M-estimates for location and scale parameters, standard weight functions
G07DCF    Robust estimation, M-estimates for location and scale parameters, user-defined weight functions
G07DDF    Computes a trimmed and winsorized mean of a single sample with estimates of their variance

L1a1a:  Location  (0 routines)
L1a1b:  Dispersion  (0 routines)
L1a1c:  Shape  (0 routines)
L1a1d:  Frequency, cumulative frequency  (0 routines)
L1a1e:  Ties  (0 routines)

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GAMS Classification for the NAG Library
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford UK. 2013