Features · Provides an authoritative and comprehensive guide to the knitr package in R · Emphasizes reproducible research · Covers both simple examples and full applications, from homework to websites to books · Describes a wide range of options, useful tricks, and solutions · Explains the internal design and extensions of the knitr package · Offers demos and other information ...(展开全部)

Features · Makes it easier to write reports · Illustrates the extensibility of the popular knitr package, which was created by the author for doing reproducible research · Presents good and bad research practices · Offers the option of using R, Python, LaTeX, Markdown, and other programs and languages

Features · Provides an authoritative and comprehensive guide to the knitr package in R · Emphasizes reproducible research · Covers both simple examples and full applications, from homework to websites to books · Describes a wide range of options, useful tricks, and solutions · Explains the internal design and extensions of the knitr package · Offers demos and other information ...(展开全部)

Features · Makes it easier to write reports · Illustrates the extensibility of the popular knitr package, which was created by the author for doing reproducible research · Presents good and bad research practices · Offers the option of using R, Python, LaTeX, Markdown, and other programs and languages

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, paramet...(展开全部)

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, paramet...(展开全部)

The ability to interpret and act on the massive amounts of information locked in web and enterprise systems is critical to success in the modern business economy. R, a free software environment for statistical computing and graphics, is a comprehensive package that empowers developers and analysts to capture, process, and respond intelligently to statistical information. R i...(展开全部)

R is a powerful tool for statistical computing and graphics. Unlike general purpose programming languages, R speaks the language of data analysis. It's perfect for business pros, social scientists, and researchers who need to make sense out of raw information. It runs on all important platforms and provides thousands of useful modules and utilities to solve the most common data...(展开全部)