P228

## 现代统计图形 r语言文档

2018-01-04   3   0
P39

## r语言的绘图功能及应用案例文档

2017-03-09   2   0
P5

## r语言作业文档

2017-01-05   1   0
P8

R 语言是一门主要用于统计计算和绘图的高级编程语言. 这份 R 语言编码风格指南旨在让我们的R 代码更容易阅读、分享和检查. 以下规则系与 Google 的 R 用户群体协同设计而成

2016-12-12   2   0
P193

## the art of r programming文档

This book is for those who wish to write code in R, as opposed to those who use R mainly for a sequence of separate, discrete statistical operations, plotting a histogram here, performing a regression analysis there.The reader’s level of programming background may range from professional to novice to “took a programming course in college,” but the key is that the reader wishes to write R code. Typical examples of our intended audience might be:

2016-11-30   3238   0
P8

## r语言 常用函数文档

2016-09-23   1   0
P66

## 医学统计学之r实现文档

2016-04-08   5671   0
P54

## Introductory Statistics with R_chapter_3-5文档

R is an Open Source implementation of the well-known S language. It works on multiple computing platforms and can be freely downloaded. R is thus ideally suited for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets.

2016-03-04   2   0
P126

## 学习RStudio用于R统计计算文档

2016-02-29   3016   0
P209

## R快速语法参考文档

R is a programming language that provides the user with powerful data and graphical analysis options. R is both flexible and broad. From tasks as simple as adding two numbers to tasks as complex as fitting an ARIMA model, R is capable of crunching the numbers. <br> The purpose of R Quick Syntax Reference is to provide the reader with the basic syntax of R. Often an R user gets stuck if, for example, a mode is incorrect or a logical test does not work. Because the full spectrum of R packages uses the same fairly simple syntax, R Quick Syntax Reference provides the reader with the necessary information to get unstuck and run and create all R functions and code.

2016-02-15   3   0
P110

## Web Application Development with R Using Shiny文档

Harness the graphical and statistical power of R and rapidly develop interactive user interfaces using the superb Shiny package

2016-02-14   2   0
P441

## An Introduction to Statistical Learning with Applications in R文档

1，统计学习的入门书，通俗易懂，号称是ESL的入门版，全书没有太多数学推导，适合学工程的人不适合学统计的人读。2，监督学习占了大部分篇幅，我觉得这本书最好的部分就是模型的讨论都围绕variance和bias的trade-off展开，还有就是对模型的整体性能，以及参数的经验取值都给出了非常详细的介绍。 An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

2016-02-05   3   0
P0

## 数据挖掘与R语言(英文版)文档

2016-02-02   1   0
P296

## 使用R语言进行数据管理，统计分析和图形化文档

Using R for Data Management, Statistical Analysis, and Graphics。Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphics Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation and vast number of add-on packages. Organized by short, clear descriptive entries, the book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics.

2016-02-02   4   0
P0

## 时间序列分析及其在R上的应用文档

2016-02-02   2   0
P404

## R语言编程艺术(英文版)文档

2016-02-02   3   0
P72

## R语言入门文档

R是一套由数据操作、计算和图形展示功能整合而成的套件。包括： ² 有效的数据存储和处理功能， ² 一套完整的数组（特别是矩阵）计算操作符， ² 拥有完整体系的数据分析工具， ² 为数据分析和显示提供的强大图形功能， ² 一套（源自S语言）完善、简单、有效的编程语言（包括条件、循环、自 定义函数、输入输出功能）。 在这里使用"环境"（environment）是为了说明R的定位是一个完善、统一的系 统，而非其他数据分析软件那样作为一个专门、不灵活的附属工具。 R很适合被用于发展中的新方法所进行的交互式数据分析。由于R是一个动 态的环境，所以新发布的版本并不总是与之前发布的版本完全兼容。某些用户 欢迎这些变化因为新技术和新方法的所带来的好处；有些则会担心旧的代码不 再可用。尽管R试图成为一种真正的编程语言，但是大家不要认为一个由R编写 的程序可以长命百岁。

2016-02-02   3   0
P72

## R语言入门教程文档

R是一套由数据操作、计算和图形展示功能整合而成的套件。包括： ² 有效的数据存储和处理功能， ² 一套完整的数组（特别是矩阵）计算操作符， ² 拥有完整体系的数据分析工具， ² 为数据分析和显示提供的强大图形功能， ² 一套（源自S语言）完善、简单、有效的编程语言（包括条件、循环、自 定义函数、输入输出功能）。 在这里使用"环境"（environment）是为了说明R的定位是一个完善、统一的系 统，而非其他数据分析软件那样作为一个专门、不灵活的附属工具。 R很适合被用于发展中的新方法所进行的交互式数据分析。由于R是一个动 态的环境，所以新发布的版本并不总是与之前发布的版本完全兼容。某些用户 欢迎这些变化因为新技术和新方法的所带来的好处；有些则会担心旧的代码不 再可用。尽管R试图成为一种真正的编程语言，但是大家不要认为一个由R编写 的程序可以长命百岁。

2015-12-25   6   0
P628

## R语言实战 (R in Action)英文版第二版文档

2015-12-20   8   0
P53

## R & Bioconductor Manual文档

This R tutorial provides a condensed introduction into the usage of the R environment and its utilities for general data analysis and clustering. It also introduces a subset of packages from the BioConductor project. The included packages are a 'personal selection' of the author of this manual that does not reflect the full utility specturm of the R/BioConductor projects. Many packages were chosen, because the author uses them often for his own teaching and research. To obtain a broad overview of available R packages, it is strongly recommended to consult the official BioConductor and R project sites. Due to the rapid development of most packages, it is also important to be aware that this manual will often not be fully up-to-date. Because of this and many other reasons, it is absolutley critical to use the original documentation of each package (PDF manual or vignette) as primary source of documentation. Users are welcome to send suggestions for improving this manual directly to its author.

2015-12-13   0   0