000			01959cam a22003855i 4500
999			_c17238 _d17238
001			21783239
003			OSt
005			20220831150217.0
008			201030s2020 flu 000 0 eng
010			_a 2020949414
020			_a9780367818890 _q(hardback)
020			_a9780367818838 _q(paperback)
020			_z9781003010623 _q(ebook)
040			_aDLC _beng _erda _cDLC
042			_apcc
082			_22021 _aDC 519.5 _bR101
100	1		_aUrdinez, Francisco, _eauthor. _945827
245	1	0	_aR for political data science: _ba practical guide/ _cFrancisco Urdinez, Andres Cruz.
263			_a2011
264		1	_aBoca Raton: _bTaylor and Francis, _c2021.
300			_aix, 439 pages: _billustrations; _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aChapman & Hall/CRC the R Series
500			_aIncludes Bibliographical references and index.
520			_a"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"-- _cProvided by publisher.
650			_a Chemistry--Statistical methods _945828
650			_aEngineering--Statistical methods _945829
650			_aStatistical physics _945830
700	1		_aCruz, Andres, _eauthor. _945831
906			_a0 _bibc _corignew _d2 _eepcn _f20 _gy-gencatlg
942			_2ddc _cDC