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Software for data analysis: Programming with R by John Chambers

Software for data analysis: Programming with R John Chambers ebook
Page: 514
ISBN: 0387759352, 9780387759357
Format: pdf
Publisher: Springer

The original BEST software also does power computations. R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess. Two years experience writing and using SAS (Statistical Analysis Software) programs to perform complex statistical analyses, working with databases, SAS datasets, relational databases,. As you may know already, R is a free statistical software that, among many other packages, has microarray packages developed by the Bioconductor group and collaborators. Here's Zen Koan: What's the value of a data analysis book with no data? - You may also flag this review. Data Management, Data Acquisition, and Knowledge Generation (25%). Another benefit of dealing with the BEST software is that it is a gateway to the full spectrum of Bayesian data-analysis programs written in R and JAGS/BUGS. Computer programming in Windows or UNIX environments. At one end of the spectrum are projects that have absolutely no prior information but . There is also a range of pre-existing data to base these analyses on. A bit about the course: In this course you will learn how to program in R and how to use R for effective data analysis. Use software tools such as Excel, Access, R, SAS, SPSS, SQL Server, Weka, Tableau, MapPoint, and PowerPoint to analyze data and present results. R statistical software and SQL. Bottom Line No, I would not recommend this to a friend. (4 of 5 customers found this review helpful).