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[其他] R for Everyone: Advanced Analytics and Graphics, 2nd   [分享]

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igs816 在职认证  发表于 2017-6-16 14:12:33 |显示全部楼层
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English | 14 Jun. 2017 | ASIN: B071X9KT1D | 560 Pages | AZW3 | 58.72 MB
Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals

Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution.

Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality youll need to accomplish 80 percent of modern data tasks.

Landers self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. Youll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on   this foundation, youll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this youll make your code reproducible with LaTeX, RMarkdown, and Shiny.

By the time youre done, you wont just know how to write R programs, youll be ready to tackle the statistical problems you care about most.

Coverage includes
Explore R, RStudio, and R packages
Use R for math: variable types, vectors, calling functions, and more
Exploit data structures, including data.frames, matrices, and lists
Read many different types of data
Create attractive, intuitive statistical graphics
Write user-defined functions
Control program flow with if, ifelse, and complex checks
Improve program efficiency with group manipulations
Combine and reshape multiple datasets
Manipulate strings using Rs facilities and regular expressions
Create normal, binomial, and Poisson probability distributions
Build linear, generalized linear, and nonlinear models
Program basic statistics: mean, standard deviation, and t-tests
Train machine learning models
Assess the quality of models and variable selection
Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods
Analyze univariate and multivariate time series data
Group data via K-means and hierarchical clustering
Prepare reports, slideshows, and web pages with knitr
Display interactive data with RMarkdown and htmlwidgets
Implement dashboards with Shiny
Build reusable R packages with devtools and Rcpp
Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.

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R for Everyone - Advanced Analytics and Graphics,2ed.rar (47.7 MB, 售价: 10 个论坛币)


关键词:Analytics Graphics Advanced Analytic Everyone

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托茨卡纳 发表于 2017-6-16 14:18:57 |显示全部楼层
R语言对学习统计是很好的
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hyq2003 发表于 2017-6-16 14:23:28 |显示全部楼层
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allain 在职认证  发表于 2017-6-16 14:40:03 |显示全部楼层
看看看看
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rainnycat 发表于 2017-6-16 14:42:57 |显示全部楼层
对学习R语言及统计学非常有帮助
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lwell20 发表于 2017-6-16 16:33:04 |显示全部楼层
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maplewoodmap 发表于 2017-6-16 17:09:21 |显示全部楼层
good book thx
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jinyizhe282 发表于 2017-6-16 17:13:25 |显示全部楼层
多谢                        
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小陆家嘴 发表于 2017-6-16 17:16:43 |显示全部楼层
The Fourth Industrial Revolution
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sunqinggang 发表于 2017-6-16 17:21:47 |显示全部楼层
谢谢楼主分享
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