Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science / / Daniel J. Denis
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| Autore: |
Denis Daniel J. <1974->
|
| Titolo: |
Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science / / Daniel J. Denis
|
| Pubblicazione: | Hoboken, New Jersey : , : Wiley, , 2020 |
| Descrizione fisica: | 1 online resource (287 pages) |
| Disciplina: | 519.53 |
| Soggetto topico: | Analysis of variance |
| Multivariate analysis | |
| Mathematical statistics - Data processing | |
| R (Computer program language) | |
| Anàlisi de variància | |
| Anàlisi multivariable | |
| Estadística matemàtica | |
| Processament de dades | |
| Soggetto genere / forma: | Llibres electrònics |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | "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"-- |
| Titolo autorizzato: | Univariate, bivariate, and multivariate statistics using R |
| ISBN: | 1-119-54991-4 |
| 1-119-54996-5 | |
| 1-119-54995-7 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910555025503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |