DataLab is a compact statistics package aiming at exploratory data analysis. Please visit the DataLab Web site for more information.... 
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See also: NominalID, ElemNominal


Nominal and Ordinal DataWhen dealing with measurement data we have to distinguish nominal, ordinal, interval and ratioscaled data. From a mere technical viewpoint interval and ratioscaled variables are floating point values, while nominal and ordinal variables represent some kind of "enumerated" values (comparable to userdefined types in programming). In order to make it easier to work with nominal and ordinal data, TDataTable provides a simple way to define the measurement scale of a variable and to specify the enumerated values by assigning short strings to the nominal/ordinal values stored in the data matrix. Nominal and ordinal values are always stored as rounded floating point values and may take any (integer) value. However the values from 1 to MAXNOMINALIDS may be represented by short texts which can be specified by using the array property NominalID. It is therefore recommended always to use values between 1 and MAXNOMINALIDS for specifying nominal or ordinal data.
