spring

Weights required to stretch springs of four brands by 0.1 inches.

datasets

Analysis of means (ANOM) as used in technometrical computing. The package takes results from multiple comparisons with the grand mean (obtained with 'multcomp', 'SimComp', 'nparcomp', or 'MCPAN') or corresponding simultaneous confidence intervals as input and produces ANOM decision charts that illustrate which group means deviate significantly from the grand mean.

Philip Pallmann

ANOM

Analysis of Means

spring function

A data frame with 24 observations on the following 2 variables.
  <dl class="dl-horizontal">
    <dt><code>brand</code></dt><dd>A factor with 4 levels giving the brands of springs.</dd>
    <dt><code>weight</code></dt><dd>A numeric vector giving the weight required to extend the spring by 0.1 inches.</dd>
  </dl>

Format


 — spring

A data frame with 24 observations on the following 2 variables.
  <dl class='dl-horizontal'>
    <dt><code>brand</code></dt><dd>A factor with 4 levels giving the brands of springs.</dd>
    <dt><code>weight</code></dt><dd>A numeric vector giving the weight required to extend the spring by 0.1 inches.</dd>
  </dl>

spring:

Description

Usage

Arguments

Format

Examples