﻿ VisualStat® Examples - CrossTab

Software to Simplify Statistical Practice ...

## Cross Tabulation - Example

#### Data

Subjects were students in grades 4-6 from three school districts in Ingham and Clinton Counties, Michigan. Chase and Dummer stratified their sample, selecting students from urban, suburban, and rural school districts with approximately 1/3 of their sample coming from each district. Students indicated whether good grades, athletic ability, or popularity was most important to them. They also ranked four factors: grades, sports, looks, and money, in order of their importance for popularity. The questionnaire also asked for gender, grade level, and other demographic information.

#### Analysis

1. Open the DataBook PopularKid.vstz
open this data file via the Help / Open Examples menu; it is in the Sample Data
2. Choose the menu Analyze and the command CrossTabs, under group Data Summaries
3. In Variables, select Gender, Grade and Urban/Rural
4. Click OK

#### Output

By default, R code is printed after parsing and before evaluation.

DataSheet is converted to DataFrame, in the form DataBook.DataSheet

```> .Table <- xtabs(formula = ~Gender+Grade+Urban.Rural, data = PopularKids.children)
> .Table
, , Urban.Rural = Rural

Gender  4  5  6
boy  16 24 26
girl 28 29 26

, , Urban.Rural = Suburban

Gender  4  5  6
boy  14 29 46
girl  8 17 37

, , Urban.Rural = Urban

Gender  4  5  6
boy  24 33 15
girl 29 44 33

> remove(.Table)```

#### Results

In this layout, VisualStat creates a two-way table for each level of the layering variable, Urban/Rural. The row variable is Gender and the column variable is Grade. It may be easier for you to compare your data in a different layout. You can change your table layout by designating variables to be across rows, down columns, or as layers.