Table Analysis Task

About the Table Analysis Task

The Table Analysis task enables you to generate crosstabulation tables, also known as contingency tables, from your data.

Example: Distribution of Type by DriveTrain

To create this example:

In the Tasks section, expand the Statistics folder and double-click Table Analysis. The user interface for the Table Analysis task opens.
On the Data tab, select the SASHELP.CARS data set.

Assign columns to these roles:

Role	Column
Row variable	Type
Column variable	DriveTrain

To run the task, click .

Here is a sample of the results:

Example of Frequency Table for the Table Analysis Task

Example of Graph in the Table Analysis Task

Assigning Data to Roles

To run the Table Analysis task, you must first assign at least one column to the Row variables or Column variables roles.

Roles	Description
Roles
Row variables	specifies the row for one-way table analysis. If multiple variables are assigned to this role, the task performs multiple one-way table analyses.
Column variables	creates the columns for one-way table analysis. If only column variables are assigned, the task performs multiple one-way table analyses.
Strata variables	creates the separate tables for n-way frequency and crosstabulation tables. Note: You must assign columns to both the Row variables or Column variables roles to use a strata variable.
Additional Roles
Frequency count	specifies that each row in the table is assumed to represent n observations. In this example, n is the value of the frequency count for that observation.

Setting Options

Option Name	Description
Plots
By default, plots are included in the results. To suppress these plots, select the Suppress plots check box.
Frequency Table
Frequencies
Observed	displays the frequency count for each cell.
Expected	displays the expected cell frequency for each cell.
Deviation	displays the deviation of the cell frequency from the expected value for each cell.
Percentages
Cell	display of overall percentages in crosstabulation tables.
Row	display of row percentages in crosstabulation table cells.
Column	display of column percentages in crosstabulation table cells.
Cumulative
Column percentages	displays the cumulative column percentage in each cell.
Frequencies and percentages	displays the cumulative frequencies and percentages in one-way frequency tables.
Cell contributions to the chi-square statistics	displays each table cell’s contribution to the Pearson chi-square statistic in the crosstabulation table.
Statistics
Chi-square statistics	requests chi-square tests of homogeneity or independence and measures of association that are based on the chi-square statistic. The tests include the Pearson chi-square, likelihood-ratio chi-square, and Mantel-Haenszel chi-square. For 2×2 tables, this test includes Fisher's exact test and the continuity-adjusted chi-square.
Measures of association	computes several measures of association and their asymptotic standard errors (ASE). The measures include gamma, Kendall's tau-b, Stuart's tau-c, Somers' D (C\|R), Somers' D (R\|C), the Pearson and Spearman correlation coefficients, lambda (symmetric and asymmetric), and uncertainty coefficients (symmetric and asymmetric).
Cochran-Mantel-Haenszel statistics	requests Cochran-Mantel-Haenszel statistics, which test for association between the row and column variables after adjusting for the remaining variables in a multiway table. These statistics include the CMH correlation statistic, the row mean scores (ANOVA), and the adjusted relative risks and odds ratios.
Measures of agreement (for square tables)	computes tests and measures of classification agreement for square tables. This option provides McNemar's test for 2×2 tables and Bowker's test of symmetry for tables with more than two response categories. It also produces the simple kappa coefficient, the weighted kappa coefficient, the asymptotic standard errors for the simple and weighted kappas, and the corresponding confidence limits. When there are multiple strata and two response categories, this option also computes Cochran's Q test.
Odds ratio and relative risk (for 2x2 tables)	requests relative risk measures and their asymptotic Walk confidence limits for 2x2 tables.
Binomial proportions and risk differences (for 2x2 tables)	requests risks (binomial proportions) and risk differences for 2x2 tables.
Exact Test
Fisher’s exact test	requests Fisher’s exact test for tables that are larger than 2x2.
Methods
Missing value treatment	specifies how to treat missing values: Exclude missing values specifies that an observation is excluded from a table if the observation has a missing value for any of the variables. Display missing value frequencies displays the frequencies of the missing values in the frequency and crosstabulation tables. These frequencies are not included in any computations of percentages, tests, or measures. Include missing values in calculations treats the missing values as valid for all variables.