03674nam 2200601 450 991055502550332120220627141946.01-119-54991-41-119-54996-51-119-54995-7(CKB)4100000010765556(MiAaPQ)EBC6146792(PPN)259703230(OCoLC)1148175701(EXLCZ)99410000001076555620200624d2020 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierUnivariate, bivariate, and multivariate statistics using R quantitative tools for data analysis and data science /Daniel J. DenisHoboken, New Jersey :Wiley,2020.1 online resource (287 pages)1-119-54993-0 Introduction 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."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"--Provided by publisher.Analysis of varianceTextbooksMultivariate analysisTextbooksMathematical statisticsData processingTextbooksR (Computer program language)Anàlisi de variànciathubAnàlisi multivariablethubEstadística matemàticathubProcessament de dadesthubLlibres electrònicsthubAnalysis of varianceMultivariate analysisMathematical statisticsData processingR (Computer program language).Anàlisi de variànciaAnàlisi multivariableEstadística matemàticaProcessament de dades519.53Denis Daniel J.1974-1146666MiAaPQMiAaPQMiAaPQBOOK9910555025503321Univariate, bivariate, and multivariate statistics using R2819439UNINA