Urdinez, Francisco, <br/><br/>
R for political data science:  a practical guide/ 
Francisco Urdinez, Andres Cruz. 
 - ix, 439 pages:  illustrations;  26 cm. 
 - Chapman & Hall/CRC the R Series .
<br/><br/> Includes Bibliographical references and index. 
<br/><br/> "This is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. This book is divided into 3 sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis"-- 
<br/><br/><label>ISBN: </label>9780367818890 9780367818838 
<br/><br/><label>LCCN: </label>2020949414 
<br/><br/><label>Subjects--Topical Terms: </label><br/> Chemistry--Statistical methods<br/>Engineering--Statistical methods<br/>Statistical physics
<br/><br/><label>Dewey Class. No.: </label>DC 519.5  / R101