With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. * Create vectors, handle variables, and perform other basic functions * Input and output data * Tackle data structures such as matrices, lists, factors, and data frames * Work with probability, probability distributions, and random variables * Calculate statistics and confidence intervals, and perform statistical tests * Create a variety of graphic displays * Build statistical models with linear regressions and analysis of variance (ANOVA) * Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language-one practical example at a time." -Jeffrey Ryan, software consultant and R package author
这本书讲的比较全面,讲解清晰,适用于有些R经验的读者直接选择自己需要的部分来查阅。初学者不妨先看看the art of R programming,因为the art of R programming 更为注重R programmming 里的基础部分,特别是数据结构。 R cookbook 里面 time series 讲的很好。如果需要用R ...
评分涉及很多与R有关的案例,可以当作手册来查询,但案例比较简单,想要深入理解并灵活运用的话,还是要查看涉及到的函数的文档,多多练习。另外,在学习R的过程中,一个体会就是如果统计学功底扎实的话,上手很快,也很容易从一本书过渡到另外一本书。
评分涉及很多与R有关的案例,可以当作手册来查询,但案例比较简单,想要深入理解并灵活运用的话,还是要查看涉及到的函数的文档,多多练习。另外,在学习R的过程中,一个体会就是如果统计学功底扎实的话,上手很快,也很容易从一本书过渡到另外一本书。
评分涉及很多与R有关的案例,可以当作手册来查询,但案例比较简单,想要深入理解并灵活运用的话,还是要查看涉及到的函数的文档,多多练习。另外,在学习R的过程中,一个体会就是如果统计学功底扎实的话,上手很快,也很容易从一本书过渡到另外一本书。
评分涉及很多与R有关的案例,可以当作手册来查询,但案例比较简单,想要深入理解并灵活运用的话,还是要查看涉及到的函数的文档,多多练习。另外,在学习R的过程中,一个体会就是如果统计学功底扎实的话,上手很快,也很容易从一本书过渡到另外一本书。
果然是看原版比看翻译好啊!
评分分类地、针对不同问题讲解了处理技巧,常看常新的手册。
评分:无
评分过了一遍,基本类似于问题解决手册,可以直接切入有疑问的地方
评分这种cookbook本来就很难从头到尾读完吧 要学R还是去coursera上面跟课为好
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