EVOLUTION-MANAGER
Edit File: USMortality.html
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Mortality Rates in US by Cause and Gender</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body> <table width="100%" summary="page for H_USMortality {lattice}"><tr><td>H_USMortality {lattice}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2> Mortality Rates in US by Cause and Gender </h2> <h3>Description</h3> <p>These datasets record mortality rates across all ages in the USA by cause of death, sex, and rural/urban status, 2011–2013. The two datasets represent the national aggregate rates and the region-wise rates for each administrative region under the Department of Health and Human Services (HHS). </p> <h3>Usage</h3> <pre> USMortality USRegionalMortality </pre> <h3>Format</h3> <p><code>USRegionalMortality</code> is a data frame with 400 observations on the following 6 variables. </p> <dl> <dt><code>Region</code></dt><dd><p>A factor specifying HHS Region. See details.</p> </dd> <dt><code>Status</code></dt><dd><p>A factor with levels <code>Rural</code> and <code>Urban</code></p> </dd> <dt><code>Sex</code></dt><dd><p>A factor with levels <code>Female</code> and <code>Male</code></p> </dd> <dt><code>Cause</code></dt><dd><p>Cause of death. A factor with levels <code>Alzheimers</code>, <code>Cancer</code>, <code>Cerebrovascular diseases</code>, <code>Diabetes</code>, <code>Flu and pneumonia</code>, <code>Heart disease</code>, <code>Lower respiratory</code>, <code>Nephritis</code>, <code>Suicide</code>, and <code>Unintentional injuries</code></p> </dd> <dt><code>Rate</code></dt><dd><p>Age-adjusted death rate per 100,000 population</p> </dd> <dt><code>SE</code></dt><dd><p>Standard error for the rate</p> </dd> </dl> <p><code>USMortality</code> is a data frame with 40 observations, containing the same variables with the exception of <code>Region</code>. </p> <h3>Details</h3> <p> The region-wise data give estimated rates separately for each of 10 HHS regions. The location of the regional offices and their coverage area, available from <a href="https://www.hhs.gov/about/agencies/iea/regional-offices/index.html">https://www.hhs.gov/about/agencies/iea/regional-offices/index.html</a>, is given below. </p> <dl> <dt>HHS Region 01 - Boston: </dt><dd><p> Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont </p> </dd> <dt> HHS Region 02 - New York: </dt><dd><p> New Jersey, New York, Puerto Rico, and the Virgin Islands </p> </dd> <dt>HHS Region 03 - Philadelphia: </dt><dd><p> Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, and West Virginia</p> </dd> <dt>HHS Region 04 - Atlanta: </dt><dd><p> Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee</p> </dd> <dt>HHS Region 05 - Chicago: </dt><dd><p> Illinois, Indiana, Michigan, Minnesota, Ohio, and Wisconsin</p> </dd> <dt>HHS Region 06 - Dallas: </dt><dd><p> Arkansas, Louisiana, New Mexico, Oklahoma, and Texas </p> </dd> <dt>HHS Region 07 - Kansas City: </dt><dd><p> Iowa, Kansas, Missouri, and Nebraska</p> </dd> <dt>HHS Region 08 - Denver: </dt><dd><p> Colorado, Montana, North Dakota, South Dakota, Utah, and Wyoming</p> </dd> <dt>HHS Region 09 - San Francisco: </dt><dd><p> Arizona, California, Hawaii, Nevada, American Samoa, Commonwealth of the Northern Mariana Islands, Federated States of Micronesia, Guam, Marshall Islands, and Republic of Palau</p> </dd> <dt>HHS Region 10 - Seattle: </dt><dd><p> Alaska, Idaho, Oregon, and Washington</p> </dd> </dl> <h3>References</h3> <p>Rural Health Reform Policy Research Center. _Exploring Rural and Urban Mortality Differences_, August 2015 Bethesda, MD. <a href="https://ruralhealth.und.edu/projects/health-reform-policy-research-center/rural-urban-mortality">https://ruralhealth.und.edu/projects/health-reform-policy-research-center/rural-urban-mortality</a> </p> <h3>Examples</h3> <pre> dotplot(reorder(Cause, Rate) ~ Rate | Status, data = USMortality, groups = Sex, par.settings = simpleTheme(pch = 16), auto.key = list(columns = 2), scales = list(x = list(log = TRUE, equispaced.log = FALSE))) dotplot(reorder(Cause, Rate):Sex ~ Rate | Status, data = USRegionalMortality, groups = Sex, scales = list(x = list(log = TRUE, equispaced.log = FALSE))) </pre> <hr /><div style="text-align: center;">[Package <em>lattice</em> version 0.20-38 <a href="00Index.html">Index</a>]</div> </body></html>