@scale Scale rows or columns of matrix.

@seas Seasonal dummy variable.

@second seconds of the minute of the observation.

@seq Vector containing arithmetic sequence.

@seqm Vector containing geometric sequence.

@sfill Create a string vector from a list of strings.

@sign Sign of number.

@sin Sine function in radians.

@skew Skewness.

@skewsby Skewness for a series for each specified group.

@smape Symmetric mean absolute percentage error (difference) between series.

@solvesystem Solve system of linear equations.

@sort Sort elements of data object.

sqr Square root.

@sqrt Square root.

@stdev Sample standard deviation (d.f. adjusted).

@stdevp Population standard deviation (no d.f. adjustment).

@stdevpsby Population standard deviations (d.f. corrected) for a series for each specified group.

@stdevs Sample standard deviation (d.f. adjusted).

@stdevsby Sample standard deviations (d.f. corrected) for a series for each specified group.

@stdevssby Sample standard deviations (d.f. corrected) for a series for each specified group.

@stdize Standardized data (using sample standard deviation).

@stdizep Standardized data (using population standard deviation).

@str String representation of number.

@strdate String corresponding to the date of the observation.

@stripcommas Remove leading and trailing commas surrounding string.

@stripparens Remove paired leading and trailing parentheses surrounding string.

@stripquotes Remove paired double-quotation marks surrounding string.

@strlen Length of string.

@strnow String representation of the current date and time.

@subextract Extract submatrix from matrix object.

@sum Arithmetic sum.

@sumsby Sum of observations in a series for each specified group.

@sumsq Arithmetic sum of squares.

@sumsqsby Sum of squared observations in a series for each specified group.

@svd Singular value decomposition (economy) of matrix.

@svdfull Singular value decomposition (full) of matrix.

@sweep Sweep operator.