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Using JMP - SAS

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242 Summarize Data Chapter 8<br />

Tabulate Data<br />

Elements of a Table in Tabulate<br />

In Tabulate, a table is defined by its column headings and row labels. They are referred to as the column<br />

table and the row table. For a description of column tables and row tables, see “Column Tables and Row<br />

Tables” on page 248.<br />

Grouping Columns<br />

Grouping columns are columns that you want to use to classify your data into categories of information.<br />

They can have character, integer, or even decimal values, but the number of unique values should be limited.<br />

Note the following:<br />

• If there is more than one grouping column, Tabulate constructs distinct categories from the hierarchical<br />

nesting of the values of the columns. For example, from the grouping columns Sex with values F and M,<br />

and the grouping column Marital Status with values Married and Single, Tabulate constructs four<br />

distinct categories: F and Married, F and Single, M and Married, M and Single.<br />

• You can specify grouping columns for column tables as well as row tables. Together they generate the<br />

categories that define each table cell.<br />

• Tabulate does not include observations with a missing value for one or more grouping columns by<br />

default. You can include them by checking the Include missing for grouping columns option.<br />

• To specify codes or values that should be treated as missing, use the Missing Value Codes column<br />

property. You can include these by checking the Include missing for grouping columns option. See<br />

“Missing Value Codes” on page 153 in the “Set Column Properties” chapter.<br />

Analysis Columns<br />

Statistics<br />

Analysis columns are any numeric columns for which you want to compute statistics. They are usually<br />

continuous columns. Tabulate computes statistics on the analysis columns for each category formed from<br />

the grouping columns.<br />

Note that all the analysis columns have to reside in the same dimension, either in the row table or in the<br />

column table.<br />

Tabulate supports a list of standard statistics. The list is displayed in the control panel. You can drag any<br />

keyword from that list to the table, just like you do with the columns. Note the following:<br />

• The statistics associated with each cell are calculated on values of the analysis columns from all<br />

observations in that category, as defined by the grouping columns.<br />

• All of the requested statistics have to reside in the same dimension, either in the row table or in the<br />

column table.<br />

• If you drag a continuous column into a data area, it is treated as an analysis column.<br />

Some of the keywords used in Tabulate are defined below. A comprehensive description is listed in<br />

“Explanation of Statistics” on page 238.

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