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The Analyst ApplicationThis guide will show you how to use the Analyst Application to perform such tasks as table analysis, ANOVA, repeated measurements, mixed models, basic power computations, and much more.
Discover how to perform statistical analysis using the Analyst Application, a point-and-click interface to basic statistical analysis in SAS. The... | | Levine's Guide to SPSS for Analysis of Variance: Second EditionIn the decade since the publication of the first edition of this guide (Levine, 1991), and despite the development of several more specialized statistical techniques, analysis of variance (ANOVA) continues to be the workhorse for many behavioral science researchers. This guide provides instructions and examples for running analyses of variance, as... | | Mastering Julia
Key Features
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Build statistical models with linear regression and analysis of variance (ANOVA)
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Create your own modules and contribute to the Julia package system
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Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization
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Beginning R: An Introduction to Statistical Programming
Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed... | | Performing Data Analysis Using IBM SPSS
Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS®
Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming,... | | Foundational and Applied Statistics for Biologists Using R
Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students... |
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Smoothing Spline ANOVA Models (Springer Series in Statistics)
Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the ample computing power in today's servers, desktops, and laptops, smoothing methods have been finding their ways into everyday data analysis by practitioners. While scores of... | | R For Dummies
Mastering R has never been easier
Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples,... | | Beginning R: An Introduction to Statistical Programming
Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization,... |
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