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A Visual Guide to Stata Graphics, Second Edition

2008-06-04 Computers
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Release : 2008-06-04
Genre : Computers
Kind : eBook
Book Rating : 394/5 ( reviews)

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Book Synopsis A Visual Guide to Stata Graphics, Second Edition by : Michael N. Mitchell

Download or read book A Visual Guide to Stata Graphics, Second Edition written by Michael N. Mitchell. This book was released on 2008-06-04. Available in PDF, EPUB and Kindle. Book excerpt: The Power of Stata Graphics at Your Fingertips Whether you are new to Stata graphics or a seasoned veteran, this book teaches you how to use Stata to make high-quality graphs that stand out and enhance statistical results. With over 900 illustrated examples and quick-reference tabs, it offers a guide to creating and customizing graphs for any type of statistical data using either Stata commands or the Graph Editor. The author displays each graph example in full color with simple and clear instructions. He shows how to produce various types of graph elements, including marker symbols, lines, legends, captions, titles, axis labels, and grid lines. Reflecting the new graphics features of Stata, this thoroughly updated and expanded edition contains a new chapter that explains how to exploit the power of the new Graph Editor. This edition also includes additional examples and illustrates nearly every example with the Graph Editor.

Data Management Using Stata

2020-06-25
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Release : 2020-06-25
Genre :
Kind : eBook
Book Rating : 185/5 ( reviews)

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Book Synopsis Data Management Using Stata by : Michael N Mitchell

Download or read book Data Management Using Stata written by Michael N Mitchell. This book was released on 2020-06-25. Available in PDF, EPUB and Kindle. Book excerpt: This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety of file formats, the ability to write highly customized Excel files, the ability to have multiple Stata datasets open at once, and the ability to store and manipulate string variables stored as Unicode. Further, this new edition includes a new chapter illustrating how to write Stata programs for solving data management tasks. As in the original edition, the chapters are organized by data management areas: reading and writing datasets, cleaning data, labeling datasets, creating variables, combining datasets, processing observations across subgroups, changing the shape of datasets, and programming for data management. Within each chapter, each section is a self-contained lesson illustrating a particular data management task (for instance, creating date variables or automating error checking) via examples. This modular design allows you to quickly identify and implement the most common data management tasks without having to read background information first. In addition to the "nuts and bolts" examples, author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. New users will appreciate this book as a valuable way to learn data management, while experienced users will find this information to be handy and time saving--there is a good chance that even the experienced user will learn some new tricks.

R Graphics Cookbook

2013 Computers
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Author :
Release : 2013
Genre : Computers
Kind : eBook
Book Rating : 956/5 ( reviews)

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Book Synopsis R Graphics Cookbook by : Winston Chang

Download or read book R Graphics Cookbook written by Winston Chang. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: "Practical recipes for visualizing data"--Cover.

A Visual Guide to Stata Graphics

2022 Information visualization
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Release : 2022
Genre : Information visualization
Kind : eBook
Book Rating : 666/5 ( reviews)

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Book Synopsis A Visual Guide to Stata Graphics by : Michael N. Mitchell

Download or read book A Visual Guide to Stata Graphics written by Michael N. Mitchell. This book was released on 2022. Available in PDF, EPUB and Kindle. Book excerpt:

Interpreting and Visualizing Regression Models Using Stata

2020-12-18
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Release : 2020-12-18
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Kind : eBook
Book Rating : 215/5 ( reviews)

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Book Synopsis Interpreting and Visualizing Regression Models Using Stata by : MICHAEL N. MITCHELL

Download or read book Interpreting and Visualizing Regression Models Using Stata written by MICHAEL N. MITCHELL. This book was released on 2020-12-18. Available in PDF, EPUB and Kindle. Book excerpt: Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models. Including over 200 figures, the book illustrates linear models with continuous predictors (modeled linearly, using polynomials, and piecewise), interactions of continuous predictors, categorical predictors, interactions of categorical predictors, and interactions of continuous and categorical predictors. The book also illustrates how to interpret and visualize results from multilevel models, models where time is a continuous predictor, models with time as a categorical predictor, nonlinear models (such as logistic or ordinal logistic regression), and models involving complex survey data. The examples illustrate the use of the margins, marginsplot, contrast, and pwcompare commands. This new edition reflects new and enhanced features added to Stata, most importantly the ability to label statistical output using value labels associated with factor variables. As a result, output regarding marital status is labeled using intuitive labels like Married and Unmarried instead of using numeric values such as 1 and 2. All the statistical output in this new edition capitalizes on this new feature, emphasizing the interpretation of results based on variables labeled using intuitive value labels. Additionally, this second edition illustrates other new features, such as using transparency in graphics to more clearly visualize overlapping confidence intervals and using small sample-size estimation with mixed models. If you ever find yourself wishing for simple and straightforward advice about how to interpret and visualize regression models using Stata, this book is for you.

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