R Graphics Cookbook
This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R's graphing systems. Get and download textbook R Graphics Cookbook for free
payment | shipping rates | returns R Graph Cookbook Product Category :Books ISBN :1849513066 Title :R Graph Cookbook EAN :9781849513067 Authors :Mittal, Hrishi Binding :Paperback Publisher :Packt Publishing Publication Date :2011-01-14 Pages :272 Signed :False First Edition :False Dust Jacket :False List Price (MSRP) :49.99 Height :0.7100 inches Width :7.4800 inches Length :9.1300 inches Weight :1.2800 pounds Condition :Good Classification Notes :092 About HPB-Ohio Our company is dedicated to p
Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you're ready to get started.Use R's default graphics for quick exploration of data Create a variety of bar graphs, line graphs, and scatter plots Summarize data distributions with histograms, density curves, box plots, and other examples Provide annotations to help viewers interpre R Graphics Cookbook new edition
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R Graphs Cookbook - Hrishi V. Mittal
R Graphics Cookbook
author winston chang format paperback language english publication year 11 01 2013 subject computing it subject 2 software packages goddings limited presents r graphics cookbook isbn 1449316956 author chang winston publisher o reilly media date 2013 01 03 seller sku bert 1449316952 qty available 1 format paperback condition new notes brand new book will ship 1 st class to the uk or airmail worldwide airmail 2 7 day approximate shipping time please view our shopfront for more details on postage p
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R Graphics Cookbook Textbook
Use R's default graphics for quick exploration of data Create a variety of bar graphs, line graphs, and scatter plots Summarize data distributions with histograms, density curves, box plots, and other examples Provide annotations to help viewers interpre
