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200 10$aUnivariate, bivariate, and multivariate statistics using R $equantitative tools for data analysis and data science /$fDaniel J. Denis
210  1$aHoboken, New Jersey :$cWiley,$d2020.
215   $a1 online resource (287 pages)
311   $a1-119-54993-0 
327   $aIntroduction to applied statistics -- Introduction to R and computational statistics -- Exploring data with R : essential graphics and visualization -- Means, correlations, counts : drawing inferences using easy-to-implement statistical tests -- Power analysis and sample size estimation using R -- Analysis of variance : fixed effects, random effects, mixed models and repeated measures -- Simple and multiple linear regression -- Logistic regression and the generalized linear model -- Multivariate analysis of variance (MANOVA) and discriminant analysis -- Principal components analysis -- Exploratory factor analysis -- Cluster analysis -- Nonparametric tests.
330   $a"This book provides a user-friendly and practical guide on R, with emphasis on covering a broader range of statistical methods than previous books on R. This is a "how to" book and will be of use to undergraduates and graduate students along with researchers and professionals who require a quick go-to source to help them perform essential statistical analyses and data management tasks in R. The book only assumes minimal prior knowledge of statistics, providing readers with the tools they need right now to help them understand and interpret their data analyses. This book covers univariate, bivariate, and multivariate statistical methods, as well as some nonparametric tests. It provides students with a hands-on easy-to-read manual on the wealth of applied statistics and essential R computing that they will need for their theses, dissertations, and research publications. A strength of this book is its scope of coverage of univariate through to multivariate procedures, while simultaneously serving as a friendly introduction to R software"--$cProvided by publisher.
606   $aAnalysis of variance$vTextbooks
606   $aMultivariate analysis$vTextbooks
606   $aMathematical statistics$xData processing$vTextbooks
606   $aR (Computer program language)
606   $aAnàlisi de variància$2thub
606   $aAnàlisi multivariable$2thub
606   $aEstadística matemàtica$2thub
606   $aProcessament de dades$2thub
608   $aLlibres electrònics$2thub
615  0$aAnalysis of variance
615  0$aMultivariate analysis
615  0$aMathematical statistics$xData processing
615  0$aR (Computer program language).
615  7$aAnàlisi de variància
615  7$aAnàlisi multivariable
615  7$aEstadística matemàtica
615  7$aProcessament de dades
676   $a519.53
700   $aDenis$b Daniel J.$f1974-$01146666
801  0$bMiAaPQ
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906   $aBOOK
912   $a9910555025503321
996   $aUnivariate, bivariate, and multivariate statistics using R$92819439
997   $aUNINA