Selecting Variables from a Single List

Note: For information on the respective analysis (or graph) designs and the way in which the selected variables are used in the respective procedures, refer to the Help topic for the dialog box from which this variable selection window originated. The standard variables dialog box is displayed whenever you are required to select variables from a single list. Formats applied to variable names (i.e., bold, italic, underline, and font color, but not font size) are also displayed in the variable list making it easier to recognize and select key variables. When the list of variables is too large for the display windows, the list is scrollable. Alternatively, you can resize the dialog box by dragging its corners or sides to to increase the size of the display windows for better viewing. ToolTips can be displayed (by pointing to the variable name) making it easier to see names that are longer than the column width.

Selecting variables. Select variables in this dialog box either by highlighting them or entering the variable number in the Select variables edit box and then clicking the OK button. To select a bundle, click the bundle name in the list. Bundles are displayed in brackets and listed in alphabetical order at the top of the variable list.

If you choose to select the variables (or more than one bundle) by highlighting them in the list, you can select a continuous block of variables by holding down the mouse button and dragging the cursor over the variables that you want to highlight. You can also highlight a continuous block of variables by clicking on the first variable name that you want to select, and while holding down the Shift key, clicking on the last variable name that you want to select. This method will select (highlight) the first and last variables and all variables in between. Select discontinuous blocks of variables by holding down the Ctrl key and then clicking on each variable that you want to select.

See Variable Selection Filtering for details about using textual expressions (wildcard expressions and open-ended ranges) to select variables.

Deselecting previously selected variables. You can deselect discontinuous or continuous blocks of previously selected variables by holding down the Ctrl key and then clicking on each variable that you want to deselect. Alternatively, you can deselect variables by deleting the variable number(s) from the Select variables box.

Show appropriate variables only. Select this check box to enable variable screening.

Select All. Click the Select All button to select all of the variables in the list. Alternatively, you can enter an * (asterisk) in the Select variables box to select the entire list of variables.

Spread/Shrink. Click the Spread button to display more information (the variable type and the long description) of each variable. Click the Shrink button (which is the alternate function of the Spread button) to display concise information (the variable number and short name) for each variable.

Zoom. Click the Zoom button to display the Values/Stats dialog box (for the first of the highlighted variables) in which you can browse through a sorted list of the data values (numeric and text equivalents).

Bundles. Click this button to display the Variable Bundles Manager. Using the options in this dialog box, you can create, edit, delete, and rename variable bundles as well as to generate a spreadsheet containing bundle information. Bundles can be used to organize large sets of variables and to facilitate the repeated selection of the same set of variables. By creating bundles, you make it possible to quickly and easily locate a subset of data in a large data file.

Screening bundles. Note that you can pre-screen or filter bundles according to the type of variables (categorical or continuous) by selecting the Show appropriate variables only check box (below). When this option is selected, Statistica will only show bundles that contain appropriate variables for the selected analysis (e.g., for Correspondence Analysis, only bundles containing categorical variables would be displayed, since Statistica expects categorical data to be used as inputs). If a bundle contains a mixture of continuous and categorical variables, the bundle would be considered only as continuous bundle, since categorical analyses cannot process continuous variables, but continuous variable analyses can evaluate categorical variables.

Show appropriate variables only. Select this check box if you want to pre-screen or filter variables according to their Measurement Type; if that type is Auto, the Automatic variable pre-screening and classification option (located in the Options dialog box) determines how Statistica will automatically determine the Measurement Type. You can also assign an explicit Measurement Type in the Variable specification dialog box.

The state of this check box will be remembered and restored between invocations of variable selection dialog boxes. When the Show appropriate variables only option does not apply (for some statistics and all graph analyses), it will be disabled.

If this check box is selected, and one of the Automatic variable pre-screening and classification options [other than Off (variables with Measurement Type 'Auto' will not be classified)] is selected in the Options dialog box - Analyses/Graphs - Display tab, only variables are shown (from which you can select) that are appropriate for the respective analysis and list (for example, when computing correlation coefficients, you would not be able to select text variables). Clear this check box to review and be able to select from among all variables.

Note: (This note is applicable when the Treat a variable as categorical if it has labels or is of type Text, Integer, or One-byte; or contains only integer values in the first _ cases option button is selected in the Automatic variable pre-screening and classification group box in the Options dialog box - Analyses/Graphs: Display tab.) Statistica considers variables that contain integers to be categorical. Integer variables that contain numerous unique values may inadvertently be misclassified as categorical, when the intention is that they should be considered continuous. Although this is an exceptional situation, it is recommended that integer variables that are meant to be seen as continuous should have their Measurement Type set to Continuous in the Variable specification dialog box.

Shortcut method to select one variable and exit. When you need to select only one variable in the list, double-click on the variable name to select it and close the dialog box.

Note that, when you select a block of data in the spreadsheet and display the variable selection dialog box, the variables in the block will be preselected. The range of the block of variables will be displayed in the Select variables box and highlighted in the variable list. You can edit the variable numbers in the Select variables box.