<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Book Archives - Datanovia</title>
	<atom:link href="https://www.datanovia.com/en/product-category/book/feed/" rel="self" type="application/rss+xml" />
	<link>https://www.datanovia.com/en/product-category/book/</link>
	<description>Data Mining and Statistics for Decision Support</description>
	<lastBuildDate>Wed, 11 Sep 2024 20:57:39 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.8.2</generator>
	<item>
		<title>Practical Statistics in R for Comparing Groups: Numerical Variables</title>
		<link>https://www.datanovia.com/en/product/practical-statistics-in-r-for-comparing-groups-numerical-variables/</link>
					<comments>https://www.datanovia.com/en/product/practical-statistics-in-r-for-comparing-groups-numerical-variables/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Thu, 28 Nov 2019 20:59:46 +0000</pubDate>
				<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=product&#038;p=10852</guid>

					<description><![CDATA[<p>(This is an ebook)</p>
<p>This R Statistics book provides a <strong>solid step-by-step practical guide</strong> to statistical inference for <strong>comparing groups means </strong>using the R software. It is designed to get you doing the statistical tests in R as quick as possible. The book focuses on implementation and understanding of the methods, without having to struggle through pages of mathematical proofs.</p>
<p>You will be guided through the steps of summarizing and visualizing the data, checking the assumptions and performing statistical tests in R, interpreting and reporting the results.</p>
<p>The main parts of the book include: PART I. Statistical tests and assumptions for the comparison of groups means; PART II. comparing two means (t-test, Wilcoxon test, Sign test); PART III. comparing multiple means (ANOVA - Analysis of Variance for independent measures, repeated measures ANOVA, mixed ANOVA, ANCOVA and MANOVA, Kruskal-Wallis test and Friedman test).</p>
<p>&#160;</p>
<div class="aff-ordering-info"><b>Order a Physical Copy</b> on <a href="https://www.datanovia.com/en/f28q" target="_blank" rel="nofollow noopener noreferrer">Amazon</a>:<br />
<a href="https://www.datanovia.com/en/f28q" target="_blank" rel="nofollow noopener noreferrer"><img src="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/affiliate-marketing/images/amazon.png" alt="Amazon" /></a></p>
<p><b>Or, Buy and Download Now a PDF Copy</b> by clicking on the <b>"ADD TO CART"</b> button down below. You will receive a link to download a <b>PDF copy</b> (click to see the <a href="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/book-preview/r-statistics-for-comparing-means_preview.pdf" target="_blank" rel="noopener noreferrer">book preview</a>)</p>
</div>
<p>The post <a href="https://www.datanovia.com/en/product/practical-statistics-in-r-for-comparing-groups-numerical-variables/">Practical Statistics in R for Comparing Groups: Numerical Variables</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/product/practical-statistics-in-r-for-comparing-groups-numerical-variables/feed/</wfw:commentRss>
			<slash:comments>28</slash:comments>
		
		
			</item>
		<item>
		<title>Inter-Rater Reliability Essentials: Practical Guide in R</title>
		<link>https://www.datanovia.com/en/product/inter-rater-reliability-essentials-practical-guide-in-r/</link>
					<comments>https://www.datanovia.com/en/product/inter-rater-reliability-essentials-practical-guide-in-r/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Wed, 06 Nov 2019 23:28:40 +0000</pubDate>
				<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=product&#038;p=10297</guid>

					<description><![CDATA[<p>This <strong>e</strong>book presents the essentials of inter-rater reliability analyses in R.</p>
<p>Key features:</p>
<ul>
<li>Covers the most common statistical measures for the inter-rater reliability analyses, including cohen’s Kappa, weighted kappa, Light’s kappa , Fleiss kappa, intraclass correlation coefficient and agreement chart.</li>
<li>Key assumptions are presented</li>
<li>Short, self-contained chapters with practical examples.</li>
</ul>
<div class = "aff-ordering-info">
<b>Order a Physical Copy</b> on <a href="https://www.datanovia.com/en/n6er" target="_blank" rel="nofollow noopener noreferrer">Amazon</a>:</p>
<p>
<a href="https://www.datanovia.com/en/n6er" target="_blank" rel="nofollow noopener noreferrer"><img src="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/affiliate-marketing/images/amazon.png" alt ="Amazon"/></a>
</p>
<p>
<b>Or, Buy and Download Now a PDF Copy</b> by clicking on the <b>"ADD TO CART"</b> button down below. You will receive a link to download a <b>PDF copy</b> (click to see the <a href="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/book-preview/inter-rater-reliability-essentials_preview.pdf" target="_blank" rel="noopener noreferrer">book preview</a>)
</p>
</div>
<p>The post <a href="https://www.datanovia.com/en/product/inter-rater-reliability-essentials-practical-guide-in-r/">Inter-Rater Reliability Essentials: Practical Guide in R</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/product/inter-rater-reliability-essentials-practical-guide-in-r/feed/</wfw:commentRss>
			<slash:comments>3</slash:comments>
		
		
			</item>
		<item>
		<title>GGPlot2 Essentials for Great Data Visualization in R</title>
		<link>https://www.datanovia.com/en/product/ggplot2-essentials-for-great-data-visualization-in-r/</link>
					<comments>https://www.datanovia.com/en/product/ggplot2-essentials-for-great-data-visualization-in-r/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Sun, 30 Dec 2018 10:08:57 +0000</pubDate>
				<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=product&#038;p=8307</guid>

					<description><![CDATA[<p>This book presents the essentials of ggplot2 package to easily create beautiful graphics in R.</p>
<p>Key features:<br />
- Covers the most important graphic functions<br />
- Short, self-contained chapters with practical examples.</p>
<div class="aff-ordering-info"><b>Order a Physical Copy</b> on <a href="https://www.datanovia.com/en/elb6" target="_blank" rel="nofollow noopener noreferrer">Amazon</a>:<br />
<a href="https://www.datanovia.com/en/elb6" target="_blank" rel="nofollow noopener noreferrer"><img src="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/affiliate-marketing/images/amazon.png" alt="Amazon" /></a><b>Or, Buy and Download Now a PDF Copy</b> by clicking on the <b>"ADD TO CART"</b> button down below. You will receive a link to download a <b>PDF copy</b> (click to see the <a href="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/book-preview/ggplot2-essentials_preview.pdf" target="_blank" rel="noopener noreferrer">book preview</a>)</div>
<p>The post <a href="https://www.datanovia.com/en/product/ggplot2-essentials-for-great-data-visualization-in-r/">GGPlot2 Essentials for Great Data Visualization in R</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/product/ggplot2-essentials-for-great-data-visualization-in-r/feed/</wfw:commentRss>
			<slash:comments>21</slash:comments>
		
		
			</item>
		<item>
		<title>Machine Learning Essentials: Practical Guide in R</title>
		<link>https://www.datanovia.com/en/product/machine-learning-essentials-practical-guide-in-r/</link>
					<comments>https://www.datanovia.com/en/product/machine-learning-essentials-practical-guide-in-r/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Sat, 22 Sep 2018 09:16:59 +0000</pubDate>
				<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=product&#038;p=7189</guid>

					<description><![CDATA[<p>Discovering knowledge from big multivariate data, recorded every days, requires specialized machine learning techniques. This book presents an easy to use practical guide in R to compute the most popular machine learning methods for exploring data sets, as well as, for building predictive models.</p>
<div class="aff-ordering-info"><b>Order a Physical Copy</b> on <a href="https://www.datanovia.com/en/fc8i" target="_blank" rel="nofollow noopener noreferrer">Amazon</a>:<br />
<a href="https://www.datanovia.com/en/fc8i" target="_blank" rel="nofollow noopener noreferrer"><img src="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/affiliate-marketing/images/amazon.png" alt="Amazon" /></a></p>
<p><b>Or, Buy and Download Now a PDF Copy</b> by clicking on the <b>"ADD TO CART"</b> button down below. You will receive a link to download a <b>PDF copy</b> (click to see the <a href="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/book-preview/machine-learning-essentials_preview.pdf" target="_blank" rel="noopener noreferrer">book preview</a>)</p>
</div>
<p>The post <a href="https://www.datanovia.com/en/product/machine-learning-essentials-practical-guide-in-r/">Machine Learning Essentials: Practical Guide in R</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/product/machine-learning-essentials-practical-guide-in-r/feed/</wfw:commentRss>
			<slash:comments>33</slash:comments>
		
		
			</item>
		<item>
		<title>Network Analysis and Visualization in R</title>
		<link>https://www.datanovia.com/en/product/network-analysis-and-visualization-in-r/</link>
					<comments>https://www.datanovia.com/en/product/network-analysis-and-visualization-in-r/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Sat, 22 Sep 2018 10:56:48 +0000</pubDate>
				<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=product&#038;p=7186</guid>

					<description><![CDATA[<p>This book provides a quick start guide to network analysis and visualization in R. You'll learn, how to create static and interactive network graphs.</p>
<div class="aff-ordering-info"><b>Order a Physical Copy</b> on <a href="https://www.datanovia.com/en/fey9" target="_blank" rel="nofollow noopener noreferrer">Amazon</a>:<br />
<a href="https://www.datanovia.com/en/fey9" target="_blank" rel="nofollow noopener noreferrer"><img src="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/affiliate-marketing/images/amazon.png" alt="Amazon" /></a></p>
<p><b>Or, Buy and Download Now a PDF Copy</b> by clicking on the <b>"ADD TO CART"</b> button down below. You will receive a link to download a <b>PDF copy</b></p>
</div>
<p>The post <a href="https://www.datanovia.com/en/product/network-analysis-and-visualization-in-r/">Network Analysis and Visualization in R</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/product/network-analysis-and-visualization-in-r/feed/</wfw:commentRss>
			<slash:comments>6</slash:comments>
		
		
			</item>
		<item>
		<title>R Graphics Essentials for Great Data Visualization</title>
		<link>https://www.datanovia.com/en/product/r-graphics-essentials-for-great-data-visualization/</link>
					<comments>https://www.datanovia.com/en/product/r-graphics-essentials-for-great-data-visualization/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Sat, 22 Sep 2018 06:28:51 +0000</pubDate>
				<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=product&#038;p=7183</guid>

					<description><![CDATA[<p>This book provides more than 200 practical examples to create great graphics for the right data using either the ggplot2 package and extensions or the traditional R graphics.</p>
<div class="aff-ordering-info"><b>Order a Physical Copy</b> on <a href="https://www.datanovia.com/en/y0c4" target="_blank" rel="nofollow noopener noreferrer">Amazon</a>:<br />
<a href="https://www.datanovia.com/en/y0c4" target="_blank" rel="nofollow noopener noreferrer"><img src="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/affiliate-marketing/images/amazon.png" alt="Amazon" /></a></p>
<p><b>Or, Buy and Download Now a PDF Copy</b> by clicking on the <b>"ADD TO CART"</b> button down below. You will receive a link to download a <b>PDF copy</b> (click to see the <a href="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/book-preview/r-graphics-essentials_preview.pdf" target="_blank" rel="noopener noreferrer">book preview</a>)</p>
</div>
<p>The post <a href="https://www.datanovia.com/en/product/r-graphics-essentials-for-great-data-visualization/">R Graphics Essentials for Great Data Visualization</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/product/r-graphics-essentials-for-great-data-visualization/feed/</wfw:commentRss>
			<slash:comments>20</slash:comments>
		
		
			</item>
		<item>
		<title>Practical Guide To Principal Component Methods in R</title>
		<link>https://www.datanovia.com/en/product/practical-guide-to-principal-component-methods-in-r/</link>
					<comments>https://www.datanovia.com/en/product/practical-guide-to-principal-component-methods-in-r/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Fri, 21 Sep 2018 20:15:37 +0000</pubDate>
				<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=product&#038;p=7178</guid>

					<description><![CDATA[<p>This book provides a solid practical guidance to summarize, visualize and interpret the most important information in a large multivariate data sets, using <strong>principal component methods</strong> in R.</p>
<p>You will learn:</p>
<ul>
<li>Principal Component Analysis (PCA) for summarizing a large dataset of continuous variables</li>
<li>Simple Correspondence Analysis (CA) for large contingency tables formed by two categorical variables</li>
<li>Multiple Correspondence Analysis (MCA) for a data set with more than 2 categorical variables</li>
<li>Methods for analyzing a data set containing a mix of variables (continuous and categorical) structured or not into groups: Factor Analysis of Mixed Data (FAMD) and Multiple Factor Analysis (MFA).</li>
<li>Hierarchical Clustering on Principal Components (HCPC), which is useful for performing clustering with a data set containing only categorical variables or with a mixed data of categorical and continuous variables</li>
</ul>
<div class="aff-ordering-info"><b>Order a Physical Copy</b> on <a href="https://www.datanovia.com/en/m53t" target="_blank" rel="nofollow noopener noreferrer">Amazon</a>:<br />
<a href="https://www.datanovia.com/en/m53t" target="_blank" rel="nofollow noopener noreferrer"><img src="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/affiliate-marketing/images/amazon.png" alt="Amazon" /></a></p>
<p><b>Or, Buy and Download Now a PDF Copy</b> by clicking on the <b>"ADD TO CART"</b> button down below. You will receive a link to download a <b>PDF copy</b> (click to see the <a href="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/book-preview/principal-component-methods-in-r-preview.pdf" target="_blank" rel="noopener noreferrer">book preview</a>)</p>
</div>
<p>The post <a href="https://www.datanovia.com/en/product/practical-guide-to-principal-component-methods-in-r/">Practical Guide To Principal Component Methods in R</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/product/practical-guide-to-principal-component-methods-in-r/feed/</wfw:commentRss>
			<slash:comments>32</slash:comments>
		
		
			</item>
		<item>
		<title>Practical Guide to Cluster Analysis in R</title>
		<link>https://www.datanovia.com/en/product/practical-guide-to-cluster-analysis-in-r/</link>
					<comments>https://www.datanovia.com/en/product/practical-guide-to-cluster-analysis-in-r/#comments</comments>
		
		<dc:creator><![CDATA[Alboukadel]]></dc:creator>
		<pubDate>Sat, 15 Sep 2018 17:44:36 +0000</pubDate>
				<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=product&#038;p=7164</guid>

					<description><![CDATA[<p>This book provides practical guide to cluster analysis, elegant visualization and interpretation. It covers 1) dissimilarity measures; 2) partitioning clustering methods (K-means, K-Medoids and CLARA algorithms); 3) hierarchical clustering method; 4) clustering validation and evaluation strategies; 5) advanced clustering methods, including: Hierarchical k-means clustering, Fuzzy clustering, Model-based clustering and Density-based clustering.</p>
<p>&#160;</p>
<div class="aff-ordering-info"><b>Order a Physical Copy</b> on <a href="https://www.datanovia.com/en/ymak" target="_blank" rel="nofollow noopener noreferrer">Amazon</a>:<br />
<a href="https://www.datanovia.com/en/ymak" target="_blank" rel="nofollow noopener noreferrer"><img src="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/affiliate-marketing/images/amazon.png" alt="Amazon" /></a></p>
<p><b>Or, Buy and Download Now a PDF Copy</b> by clicking on the <b>"ADD TO CART"</b> button down below. You will receive a link to download a <b>PDF copy</b> (click to see the <a href="https://www.datanovia.com/en/wp-content/uploads/dn-tutorials/book-preview/clustering_en_preview.pdf" target="_blank" rel="nofollow noopener noreferrer">book preview</a>)</p>
</div>
<p>The post <a href="https://www.datanovia.com/en/product/practical-guide-to-cluster-analysis-in-r/">Practical Guide to Cluster Analysis in R</a> appeared first on <a href="https://www.datanovia.com/en">Datanovia</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.datanovia.com/en/product/practical-guide-to-cluster-analysis-in-r/feed/</wfw:commentRss>
			<slash:comments>39</slash:comments>
		
		
			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/

Object Caching 201/401 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching 47/114 queries in 0.101 seconds using APC

Served from: www.datanovia.com @ 2025-07-29 13:11:23 by W3 Total Cache
-->