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R for Everyone Advanced Analytics and Graphics, Lander, 2014
开源的R语言是全世界数据科学家使用最广泛的语言。
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Statistical Computation for Programmers, Scientists, Quants,
Users, and Other Professionals
Using the
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
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 you’ll need to accomplish 80 percent of modern data tasks.
Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample
code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some
data mining techniques.
By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most.
COVERAGE INCLUDES
Exploring R, RStudio, and R packages
Using R for math: variable types, vectors, calling
functions, and more
Exploiting data structures, including data.frames, matrices, and lists
Creating attractive, intuitive statistical
graphics
Writing
user-defined functions
Controlling program flow with if, ifelse, and complex checks
Improving program efficiency with group manipulations
Combining and reshaping multiple datasets
Manipulating strings using R’s facilities and
regular expressions
Creating normal, binomial, and Poisson probability distributions
Programming basic
statistics: mean, standard deviation, and t-tests
Building linear, generalized linear, and n
2014-11-19
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