| 期刊全稱 | Beginning R | | 期刊簡(jiǎn)稱 | An Introduction to S | | 影響因子2023 | Joshua F. Wiley,Larry A. Pace | | 視頻video | http://file.papertrans.cn/183/182495/182495.mp4 | | 發(fā)行地址 | Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. | | 圖書(shū)封面 |  | | 影響因子 | .Beginning R, Second Edition. is a hands-on book showing howto use the R language, write and save R scripts, read in data files, and writecustom statistical functions as well as use built in functions. This book showsthe use of R in specific cases such as one-way ANOVA analysis, linear andlogistic regression, data visualization, parallel processing, bootstrapping,and more. It takes a hands-on, example-based approach incorporating bestpractices with clear explanations of the statistics being done. It has beencompletely re-written since the first edition to make use of the latestpackages and features in R version 3...R is a powerful open-source language and programmingenvironment for statistics and has become the de facto standard for doing,teaching, and learning computational statistics.? R is both an object-oriented language and afunctional language that is easy to learn, easy to use, and completely free. Alarge community of dedicated R users and programmers provides an excellentsource of R code, functions, and data sets, with a constantly evolvingecosystem of packages providing new functionality for data analysis. R has alsobecome popular in commercial use at companies such as Mic | | Pindex | Book 2015Latest edition |
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