Exercise

A fabricated dataset constructed by Darlington (1990) to demonstrate the importance of including all relevant variables in an analysis. This dataset contains information about exercise, food intake, and weight loss for a fictional set of dieters.

datasets

Access to the datasets and many of the functions used in "Statistics Using R: An Integrative Approach". These datasets include a subset of the National Education Longitudinal Study, the Framingham Heart Study, as well as several simulated datasets used in the examples throughout the textbook. The functions included in the package reproduce some of the functionality of 'Stata' that is not directly available in 'R'.  The package also contains a tutorial on basic data frame management, including how to handle missing data.

Daphna Harel

Companion to "Statistics Using R: An Integrative Approach"

Sharon Weinberg

Sarah Abramowitz

Exercise function

A data frame with 10 rows and 4 variables:<dl class="dl-horizontal">
 <dt>ID</dt><dd>case number</dd>
 <dt>Exercise</dt><dd>average daily number of hours exercised in that week</dd>
 <dt>FoodIntake</dt><dd>average daily number of calories consumed in one particular week that is more than a baseline of 1,000 calories, as measured in increments of 100 calories</dd>
 <dt>WeightLoss</dt><dd>number of pounds lost in that week</dd>
</dl>

Format

Exercise, Food Intake, and Weight Loss — Exercise

A data frame with 10 rows and 4 variables:<dl class='dl-horizontal'>
 <dt>ID</dt><dd>case number</dd>
 <dt>Exercise</dt><dd>average daily number of hours exercised in that week</dd>
 <dt>FoodIntake</dt><dd>average daily number of calories consumed in one particular week that is more than a baseline of 1,000 calories, as measured in increments of 100 calories</dd>
 <dt>WeightLoss</dt><dd>number of pounds lost in that week</dd>
</dl>

Exercise: Exercise, Food Intake, and Weight Loss

Description

Usage

Arguments

Format

References