Cargando…

Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science /

"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 requ...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Denis, Daniel J., 1974- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : Wiley, 2020.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 EBOOKCENTRAL_on1145085252
003 OCoLC
005 20240329122006.0
006 m o d
007 cr cnu---unuuu
008 200222s2020 njua ob 001 0 eng
010 |a  2019051986 
040 |a DLC  |b eng  |e rda  |e pn  |c DLC  |d OCLCO  |d EBLCP  |d SNM  |d DG1  |d N$T  |d UKAHL  |d OCLCQ  |d YDX  |d OCLCF  |d YDX  |d RECBK  |d OCLCQ  |d S2H  |d OCLCQ  |d UPM  |d OCLCQ  |d WSU  |d OCLCO  |d OCLCL 
019 |a 1148175701 
020 |a 9781119549918  |q (electronic book) 
020 |a 1119549914  |q (electronic book) 
020 |a 9781119549956  |q (electronic book) 
020 |a 1119549957  |q (electronic book) 
020 |a 9781119549963  |q (electronic book) 
020 |a 1119549965  |q (electronic book) 
020 |z 9781119549932  |q (hardcover) 
020 |z 1119549930 
029 1 |a AU@  |b 000066960184 
035 |a (OCoLC)1145085252  |z (OCoLC)1148175701 
042 |a pcc 
050 0 4 |a QA279  |b .D45776 2020 
082 0 0 |a 519.5/302855133  |2 23 
049 |a UAMI 
100 1 |a Denis, Daniel J.,  |d 1974-  |e author. 
245 1 0 |a Univariate, bivariate, and multivariate statistics using R :  |b quantitative tools for data analysis and data science /  |c Daniel J. Denis. 
264 1 |a Hoboken, NJ :  |b Wiley,  |c 2020. 
300 |a 1 online resource (xvii, 366 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
520 |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"--  |c Provided by publisher 
588 0 |a Online resource; title from digital title page (viewed on May 28, 2020). 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Analysis of variance  |v Textbooks. 
650 0 |a Multivariate analysis  |v Textbooks. 
650 0 |a Mathematical statistics  |x Data processing  |v Textbooks. 
650 0 |a R (Computer program language)  |v Textbooks. 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x Multivariate Analysis.  |2 bisacsh 
650 7 |a Analysis of variance  |2 fast 
650 7 |a Mathematical statistics  |x Data processing  |2 fast 
650 7 |a Multivariate analysis  |2 fast 
650 7 |a R (Computer program language)  |2 fast 
655 7 |a Textbooks  |2 fast 
655 7 |a Textbooks.  |2 lcgft 
758 |i has work:  |a Univariate, bivariate, and multivariate statistics using R (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGBD8mpwHQ89dfhP3VDkQq  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Denis, Daniel J., 1974-  |t Univariate, bivariate, and multivariate statistics using R.  |b First edition.  |d Hoboken, NJ : Wiley, 2020  |z 9781119549932  |w (DLC) 2019051985 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6146792  |z Texto completo 
938 |a Askews and Holts Library Services  |b ASKH  |n AH36662011 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL6146792 
938 |a EBSCOhost  |b EBSC  |n 2416732 
938 |a Recorded Books, LLC  |b RECE  |n rbeEB00831033 
938 |a YBP Library Services  |b YANK  |n 16497787 
938 |a YBP Library Services  |b YANK  |n 301193870 
994 |a 92  |b IZTAP