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Introduction to Scientific Programming and Scientific Simulation Using R

机译:使用R进行科学编程和科学仿真简介

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It is not often that I think that a statistics text is one that most scientific statisticians shouldhave in their personal libraries. The 2008 text by Owen Jones, Robert Maillardet, and An-drew Robinson titled, Introduction to Scientific Programming and Simulation Using R is sucha text. I am assuming, however, that R is the primary statistical package that is used amongstatisticians who are evaluating biological, geological, astronomical, environmental, and otherscientific research areas. But even if a researcher does not use R as their preferred statisticaltool, authors of research articles in scientific journals now appear to overwhelmingly employR for executing and displaying published statistical results. In order to fully understand – orto referee – these articles, an understanding of R is desirable. This text provides scientific re-searchers with a working knowledge of R for both reviewing and for engaging in the statisticalevaluation of scientific data.
机译:我并不经常认为统计文本是大多数科学统计学家应在其个人图书馆中使用的文本。 Owen Jones,Robert Maillardet和An-drew Robinson在2008年撰写的标题为“使用R进行科学编程和模拟介绍”的文章就是这样。但是,我假设R是用于评估生物学,地质,天文,环境和其他科学研究领域的统计学家的主要统计数据包。但是,即使研究人员没有将R作为首选的统计工具,科学期刊上的研究文章的作者现在似乎也绝大多数采用R来执行和显示已发布的统计结果。为了完全理解(或推荐给裁判)这些文章,需要对R有所了解。本文为科学研究人员提供了R的实用知识,可用于审查和参与科学数据的统计评估。

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