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Learn RStudio IDE

control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations;

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Data Analysis with RStudio

a statistical textbook, the purpose is to transmit the joy of analyzing data with RStudio. Practitioners and students learn how RStudio can;

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RStudio for R Statistical Computing Cookbook

Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature About This Book;

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Reproducible Research with R and RStudio

Provides researchers with a reproducible research workflow for using RRStudio to make the entire researchprocess reproducible; from data;

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Reproducible Research with R and RStudio

Provides researchers with a reproducible research workflow for using RRStudio to make the entire researchprocess reproducible; from data;

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Learning RStudio for R Statistical Computing

A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with;

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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 Markdown

accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations;

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R Markdown

accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

is based on R for EFA - a highly popular and free to use statistics software package. 3. Clear step-by-step guidance combined with screen shots to;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

is based on R for EFA - a highly popular and free to use statistics software package. 3. Clear step-by-step guidance combined with screen shots to;

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Data Science for Business With R

Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open;

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Introduction to R for Business

Designed to provide Business students and professionals with a pragmatic introduction to R, RStudio, Git, GitHub, and GitKraken in the;

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

Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users;

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Introduction to Data Science

tidyverse tools Illustrates the importance of statistics in data analysis using case studies Uses the caret package to build prediction;

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Practical R 4

into a powerful data analytics platform accessible from anywhere with RStudio Server Write basic R scripts and modify existing scripts;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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Modern Data Science with R

Accessible to a general audience with some background in statistics and computing Many examples and extended case studies Illustrations;

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Data Analysis With R

same time. Work hands-on with three practical data analysis projects based on casino games Store, retrieve, and change data values in your;

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Insights from Data with R

overlooked in most textbooks of statistics and data analysis. This accessible and engaging book provides readers with the knowledge, experience;

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Insights from Data with R

overlooked in most textbooks of statistics and data analysis. This accessible and engaging book provides readers with the knowledge, experience;

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Data Analytics for the Social Sciences

package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with;

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Data Analytics for the Social Sciences

package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with;

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R In Finance And Economics

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics;

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Quantitative Economics with R

and RStudio, and uses expert Hadley Wickham's tidyverse package for different parts of the data analysis workflow. After a gentle introduction;

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