《R 语言编程艺术》封面

R 语言编程艺术

The art of R programming

Norman S. Matloff · 初版 2011 年

8人推荐
11位读者提及
11次提及

为什么值得读

  • 适合初学者建立扎实的R语言基础
  • 紧密结合数据分析与推断实践
  • 获多位数据分析从业者口碑推荐

一本面向统计学与数据科学编程的R语言入门指南。

Hacker News 上怎么说

  • ……懂一些统计/数据分析(后者可能更重要)。如果你之前没搞过这个,那我建议你找一些你关心的数据,装上 R(推荐一本好书,Matloff 写的《The Art of R Programming》),然后开始尝试做推断。还有画图。画好多、好多、好多的图。如果你一直坚持下去,找论文/书来读理论,并在业余时间动手实现,那么……

    …know some statistics/data analysis (the latter probably being more important). If you haven't done this before, then I suggest that you acquire some data you care about, install R (a good book is the Art of R Programming by Matloff), and start trying to make inferences. And draw graphs. Many, many, many graphs. If you keep at this, finding papers/books and reading theory, and implementing it in your spare time, then…

  • 我目前正在读 Norman Matloff 写的《The Art of R Programming》,对于 R 新手来说是本好书。不过显然需要对数学和统计基础有一些了解。

    I am currently reading the "The Art of R programming" by Norman Matloff and it is a good book for R beginners. Some familiarity with maths and stats basic is obviously required though.

  • 我最喜欢的 R 入门书是 Norman Matloff 写的《The Art of R Programming》http://www.amazon.com/The-Art-Programming-Statistical-Softwa...

    My favorite intro to R book is The Art of R Programming by Norman Matloff http://www.amazon.com/The-Art-Programming-Statistical-Softwa...

  • ……包括非常出色的 Python 进阶教程,涵盖协程(co-routines)、离散事件模拟(discrete-event simulation)以及用 simpy 进行模拟等多个主题。他也是我强烈推荐的一本叫《The Art of R Programming》的书的作者。

    …includes excellent extended tutorials in python on various topics such as co-routines, discrete-event simulation, and simulation using simpy. He is also the author of a book i highly recommend called "Art of R Programming"

  • ……我是作者之一(John Mount)。是的,这本书和博客都是 Nina Zumel 和 John Mount 写的。显然我的观点带点主观色彩,但还是说两句吧。《R in Action》是我们最喜欢的 R 语言书之一(还有《The Art of R Programming》)。《Practical Data Science with R》则更侧重于数据科学的实际应用范例(包含大量脏活累活般的数据管道步骤、如何思考某些统计检验、在……时该用什么样的软件

    …here (John Mount). Yes the book and blog are both by Nina Zumel and John Mount. Obviously my opinion is biased, but here is a bit anyway. "R in Action" is one of our favorite R books (that and "The Art of R Programming"). "Practical Data Science with R" is more about working examples of data science (lots of the grungy tubing steps, how to think about some of the statistical tests, what sort of software to use at…

  • ……记号),但它的表达能力极强。我不是数学家,而且我已经写了 15 年 Python,但如果有的选,在它擅长的特定问题领域里我永远会挑 R。如果想把 R 当作一门编程语言来学,我强烈推荐《The Art Of R Programming》。有了这个底子,之后再去叠统计方面的知识就容易多了。

    …notations), but it is very expressive. I'm not a mathematician, and I've been programming Python for 15 years, but I'd always pick R for its stated problem domain given a choice. I highly recommend "The Art Of R Programming" for learning R as a programming language. The statistical side of things are then easier to layer on top of that.

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