TY  - GEN
AB  - In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub.
AU  - Mailund, Thomas,
CN  - QA276.45.R3
DO  - 10.1007/978-1-4842-8780-4
DO  - doi
ET  - Second edition.
ID  - 1450830
KW  - R (Computer program language)
KW  - Statistics
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-8780-4
N1  - Includes index.
N2  - In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub.
SN  - 9781484287804
SN  - 1484287800
T1  - R 4 data science quick reference :a pocket guide to APIs, libraries, and packages /
TI  - R 4 data science quick reference :a pocket guide to APIs, libraries, and packages /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-8780-4
ER  -