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The SAS language is a fourth-generation ... Users can input both numeric and character data into base SAS. ... The names of macro variables in SAS are ...
The choice of a variable name should be mnemonic — that is, designed to indicate to the casual observer the intent of its use. One-character variable names should be avoided except for temporary "throwaway" variables. Common names for temporary variables are i, j, k, m, and n for integers; c, d, and e for characters. int i;
The Variable Name (limited to 8-characters for compatibility with the SAS System V5 Transport format) A descriptive Variable Label, using up to 40 characters, which should be unique for each variable in the dataset; The data Type (e.g., whether the variable value is a character or numeric)
In order to perform character manipulation, characters needed to be placed into numeric variables using Hollerith constants. For example, the constant 3HABC specified a three-character string "ABC", identified by the initial integer representing the string length 3 and the specified Hollerith character H , followed by the string data ABC .
An abstract character repertoire (ACR) is the full set of abstract characters that a system supports. Unicode has an open repertoire, meaning that new characters will be added to the repertoire over time. A coded character set (CCS) is a function that maps characters to code points (each code point represents one character). For example, in a ...
Character references that are based on the referenced character's UCS or Unicode code point are called numeric character references. In HTML 4 and in all versions of XHTML and XML, the code point can be expressed either as a decimal (base 10) number or as a hexadecimal (base 16) number.
Sass allows variables to be defined. Variables begin with a dollar sign ($). Variable assignment is done with a colon (:). [18] SassScript supports four data types: [18] Numbers (including units) Strings (with quotes or without) Colors (name, or names) Booleans; Variables can be arguments to or results from one of several available functions. [19]
SAS (software) – comprehensive statistical package; SHAZAM (Econometrics and Statistics Software) – comprehensive econometrics and statistics package; SigmaStat – package for group analysis; Simul – econometric tool for multidimensional (multi-sectoral, multi-regional) modeling