000			02122cam a2200493Ii 4500
001			2344476
003			OCoLC
005			20210921180413.0
008			110622s2011 nyua b 001 0 eng d
010			_a2011926793
020			_a9781441996497
020			_a9781441996497: _c£39.95
020			_a1441996494
020			_a9781441996503
020			_a1441996508
035			_a(OCoLC)732344476 _z(OCoLC)706920645
040			_aLTSCA _beng _cLTSCA _dCDX _dYDXCP _dBWX _dDEBBG _dVRC _dUBY _dDLC _dOCLCF _dZWZ _dOCLCQ _dOCLCO _dOCLCQ _dS3O _dOCLCO
082	0	4	_a519.5350285 _bEVE
100	1		_aEveritt, Brian. _914097
245	1	3	_aAn introduction to applied multivariate analysis with R /
260			_aNew York : _bSpringer, _c2011.
300			_axiv, 273 pages : _billustrations, charts ; _c24 cm.
336			_atext _btxt $2 rdacontent
336			_atext _2rdacontent
336			_astill image _2rdacontent
337			_aunmediated _bn $2 rdamedia
337			_aunmediated _2rdamedia
338			_avolume _bnc $2 rdacarrier
338			_avolume _2rdacarrier
490	1		_aUse R!
504			_aIncludes bibliographical references (pages 259-269) and index.
505	0		_aMultivariate data and multivariate analysis -- Looking at multivariate data: visualisation -- Principal components analysis -- Multidimensional scaling -- Exploratory factor analysis -- Cluster analysis -- Confirmatory factor analysis and structural equation models -- The analysis of repeated measures data.
520	8		_aThe majority of data sets collected by researchers in all disciplines are multivariate. This book comprehensively covers a variety of multivariate analysis techniques using R. It provides extensive examples of R code used to apply the multivariate techniques.
650			_aStatistics. _96563
650		0	_aMultivariate analysis _xData processing.
650		0	_aR (Computer program language) _934200
700	1		_aHothorn, Torsten.
830		0	_aUse R!
902			_a170602
907			_a.b11135360 _bmulti _c-
942			_n0
948			_hNO HOLDINGS IN LQI - 120 OTHER HOLDINGS
998			_b0 _c160509 _dm _ea _g3
999			_c59707 _d59707