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Using R for Data Management, Statistical

Using R for Data Management, Statistical Analysis, and Graphics. Nicholas J. Horton, Ken Kleinman

Using R for Data Management, Statistical Analysis, and Graphics


Using.R.for.Data.Management.Statistical.Analysis.and.Graphics.pdf
ISBN: 1439827559,9781439827550 | 296 pages | 8 Mb


Download Using R for Data Management, Statistical Analysis, and Graphics



Using R for Data Management, Statistical Analysis, and Graphics Nicholas J. Horton, Ken Kleinman
Publisher: CRC




Embedding R into NetLogo allows the use of advanced statistical analyses, specific statistical distributions, and advanced tools for visualization from within NetLogo programs. There are many tools around to help turn data . What it does:R is a general statistical analysis platform (the authors call it an "environment") that runs on the command line. Join Revolution Analytics and me this June 21st for a 4-hour webinar that shows how to perform the most commonly used data management tasks in R. The book starts with a quick introduction where you will learn to load data, perform simple analysis, plot a graph, and generate automatic reports. Many people use R, an extensible, community-maintained language and environment for statistical computing and graphics. Embedding NetLogo into R makes it One reason seems to be that software platforms for implementing ABMs and for statistical analysis are separated, so that thorough model analysis requires the cumbersome transfer of data via file output and input. But if you're trying to extract useful information from an ever-increasing inflow of data, you'll likely find visualization useful -- whether it's to show patterns or trends with graphics instead of mountains of text, or to try to explain complex issues to a nontechnical audience. Horton, Ken Kleinman, 2010 | ISBN: 1439827559 | 297 pages | PDF | 4,1 MB. Before you can analyze data, it must be in the right form. Using R for Data Management, Statistical Analysis, and Graphics Using R for Data Management, Statistical Analysis, and Graphics Nicholas J. R developers will learn about package development, analysis and reporting, code editing, and R development. "Learning RStudio for R Statistical Computing" will teach you how to quickly and efficiently create and manage statistical analysis projects, import data, develop R scripts, and generate reports and graphics. Using R for Data Management, Statistical Analysis, and Graphics by Nicholas J. Using R for Data Management, Statistical Analysis, and Graphics.

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