| 书目名称 | Visualizing Data in R 4 | | 副标题 | Graphics Using the b | | 编辑 | Margot Tollefson | | 视频video | | | 概述 | Gives a detailed guide to the highly flexible plot() function.Describes the functions in ggplot2, with reference to the arguments and ancillary functions of plot().A handy reference for looking up the | | 图书封面 |  | | 描述 | .Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in .Visualizing Data in R 4 .toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take advantage of the new features added to R 4 where appropriate including a refreshed color palette for charts, Cairo graphics with more fonts/symbols, and improved performance from grid graphics including ggplot 2 rendering speed. ..Visualizing Data in R 4. starts with an introduction and then is split into two parts and six appendices. Part I covers the function plot() and the ancillary functions you can use with plot(). You’ll also see the functions par() and layout(), providing for multiple plots on a page. Part II goes over the basics of using the functions qplot() and ggplot() in the package ggplot2. The default plots generated by the functions qplot() and ggplot() give more sophisticated-looking plots than the default plots done by plot() and are easier to use, but the function plot() is more flexible. Both plot() and ggplot() allow for many layers t | | 出版日期 | Book 2021 | | 关键词 | Programming; R; language; R 4; statistics; graphics; ggplot; visualization; visualizing; data; data science; co | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-6831-5 | | isbn_softcover | 978-1-4842-6830-8 | | isbn_ebook | 978-1-4842-6831-5 | | copyright | Margot Tollefson 2021 |
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发表于 2025-3-21 16:40:37
