DataLab is a compact statistics package aimed at exploratory data analysis. Please visit the DataLab Web site for more information.... 
Home Features of DataLab Editing Data Data Editing Nominal and Ordinal Values  
See also: Variable and Object Names, Matrix Survey Plot


Editing Nominal and Ordinal ValuesDataLab supports four different levels of measurement: nominal, ordinal, interval, and ratiolevel variables. The type of a variable (column of the data matrix) can be set by the user in the matrix viewer. For nominal and ordinal variables the user may additionally specify the corresponding categorial names^{(1)} (again, in the matrix viewer, by clicking the starbutton right to the level of measurement). DataLab supports up to 25 nominal/ordinal identifiers for each variable. When you click the starbutton right to the level of measurement a window is opened which lets you enter the nominal or ordinal identifiers. You can edit or add an identifier by clicking into the corresponding field and entering the new string. In order to undefine an identifier, just clear it and leave it empty. Undefined identifiers are indicated by the string "(undefined)".

