FOOD

Nutritional data from 961 different food items

datasets

Provide all the data sets and statistical analysis applications used in "Modern Industrial Statistics: with applications in R, MINITAB and JMP" by R.S. Kenett and S. Zacks with contributions by D. Amberti, John Wiley and Sons, 2021, which is a third revised and expanded revision of "Modern Industrial Statistics: Design and Control of Quality and Reliability", R. Kenett and S. Zacks, Duxbury/Wadsworth Publishing, 1998.

Daniele Amberti

mistat

Data Sets, Functions and Examples from the Book: "Modern
Industrial Statistics" by Kenett, Zacks and Amberti

FOOD function

A data frame with 961 observations on the following 7 variables.<dl>
 <dt><code>Fat.grams</code></dt>
<dd>a numeric vector, fat in grams</dd> <dt><code>FoodEnergy.calories</code></dt>
<dd>a numeric vector, food energy in calories</dd> <dt><code>Carbohydrates.grams</code></dt>
<dd>a numeric vector, carbohydrates in grams</dd> <dt><code>Protein.grams</code></dt>
<dd>a numeric vector, protein in grams</dd> <dt><code>Cholesterol.mg</code></dt>
<dd>a numeric vector, cholesterol in milligrams</dd> <dt><code>Weight.grams</code></dt>
<dd>a numeric vector, weight in grams</dd> <dt><code>SaturatedFat.grams</code></dt>
<dd>a numeric vector, saturated fat in grams</dd> 
</dl>

Format

FOOD — FOOD

A data frame with 961 observations on the following 7 variables.<dl>
 <dt><code>Fat.grams</code></dt>
<dd>a numeric vector, fat in grams</dd>

 <dt><code>FoodEnergy.calories</code></dt>
<dd>a numeric vector, food energy in calories</dd>

 <dt><code>Carbohydrates.grams</code></dt>
<dd>a numeric vector, carbohydrates in grams</dd>

 <dt><code>Protein.grams</code></dt>
<dd>a numeric vector, protein in grams</dd>

 <dt><code>Cholesterol.mg</code></dt>
<dd>a numeric vector, cholesterol in milligrams</dd>

 <dt><code>Weight.grams</code></dt>
<dd>a numeric vector, weight in grams</dd>

 <dt><code>SaturatedFat.grams</code></dt>
<dd>a numeric vector, saturated fat in grams</dd>

 
</dl>

FOOD: FOOD

Description

Usage

Arguments

Format

Examples