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R for SAS and SPSS Users

R is a powerful and free software system for data analysis and graphics, with over 5,000 add-on packages available. This book introduces R;

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R for SAS and SPSS Users

R is a powerful and free software system for data analysis and graphics, with over 5,000 add-on packages available. This book introduces R;

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R for Programmers

of different versions of R, and the 12 frequently used packages of R. This will help you understand the tool packages, time series packages, and;

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R Packages

Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions;

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R In A Nutshell

the right user-contributed R packages for statistical modeling, visualization, and bioinformatics. The author introduces you to the R;

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R In A Nutshell

packages for statistical modeling, visualization, and bioinformatics. The author introduces you to the R environment, including the R graphical;

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R in a Nutshell

packages for statistical modeling, visualization, and bioinformatics. The author introduces you to the R environment, including the R graphical;

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The R Primer

Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes;

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Data Management in R

how to recode and document data, as well as how to combine data from different sources, or import from statistical packages other than R.;

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Data Management in R

how to recode and document data, as well as how to combine data from different sources, or import from statistical packages other than R.;

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An R and S Plus Companion to Multivariate Analysis

software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save;

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R Data Science Quick Reference

modelr Who This Book Is For Programmers new to R's data science, data mining, and analytics packages. Some prior coding experience with R;

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Hands-On Time Series Analysis with R

analysis and forecasting using R packages such as Forecast and h2o Develop models and find patterns to create visualizations using the TSstudio and;

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Remote Sensing Image Classification in R

provides a concise and practical reference tutorial, which equips readers to immediately start using the software platform and R packages for image;

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Using R for Item Response Theory Model Applications

, practitioners, and applied researchers who want to learn how to properly use R IRT packages to perform IRT model calibrations with their own data. This;

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Using R for Item Response Theory Model Applications

, practitioners, and applied researchers who want to learn how to properly use R IRT packages to perform IRT model calibrations with their own data. This;

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Mastering RStudio - Develop, Communicate, and Collaborate with R

Harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations About This Book;

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R Primer

Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes;

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R Primer Chapman HallCRC The R Series

Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes;

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R for Stata Users

languages, comparing and contrasting the two packages' different approaches. When finished, you will be able to use R in conjunction with Stata, or;

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R for Data Science Cookbook

Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques About This Book;

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Graphical Models with R

years many of these software developments have taken place within the R community, either in the form of new packages or by providing an R;

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Hands-On Data Science with R

A hands-on guide for professionals to perform various data science tasks in R Key Features Explore the popular R packages for data science;

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Clinical Trial Data Analysis Using R and SAS

appropriate R packages and functions and SAS PROCS, which enables readers to gain an understanding of the analysis methods and R and SAS;

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Clinical Trial Data Analysis Using R and SAS

packages and functions and SAS PROCS, which enables readers to gain an understanding of the analysis methods and R and SAS implementation so that;

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Probability and Statistics with R

comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate;

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Big Data Analytics with R and Hadoop

aimed at those who know Hadoop and want to build some intelligent applications over Big data with R packages. It would be helpful if readers;

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