Author: Charlotte Boshart
Publisher:
ISBN: 9781940908083
Category :
Languages : en
Pages : 120
Book Description
The Easy R
Author: Charlotte Boshart
Publisher:
ISBN: 9781940908083
Category :
Languages : en
Pages : 120
Book Description
Publisher:
ISBN: 9781940908083
Category :
Languages : en
Pages : 120
Book Description
Easy R
Author: Elizabeth Gohmert
Publisher: SAGE Publications
ISBN: 1544379420
Category : Social Science
Languages : en
Pages : 247
Book Description
Do you want to learn R? This book is built on the premise that anyone with a bit of free time and a healthy curiosity can learn to use R in their studies or at work. The authors focus on using R to do useful things like writing reports, creating data and graphs, accessing datasets collected by others, preparing data, and conducting simple data analysis. In this book you’ll learn how to: install R and RStudio®, and set up an RStudio® project and folders; write an essay with graphs based on simple real-world data using R Markdown; create variables from everyday numeric information and visualize data through five types of charts—bar plot, histogram, pie chart, scatter plot, and time series line plot—to identify patterns in the data; write and run R programs, and prepare your data following the tidyverse approach; import external datasets into R, install R data packages, and carry out initial data validity checks; conduct exploratory data analysis through three exercises involving data on voting outcomes, natural resource consumption, and gross domestic product (GDP) via data visualization, correlation coefficient, and simple regression; and write a research paper on the impact of GDP per capita on life expectancy using R Markdown. Student-friendly language and examples (such as binge-watched shows on Netflix, and the top 5 songs on Spotify), cumulative learning, and practice exercises make this a must-have guide for a variety of courses where data are used and reports need to be written. Code and datasets used to carry out the examples in the book are available on an accompanying website.
Publisher: SAGE Publications
ISBN: 1544379420
Category : Social Science
Languages : en
Pages : 247
Book Description
Do you want to learn R? This book is built on the premise that anyone with a bit of free time and a healthy curiosity can learn to use R in their studies or at work. The authors focus on using R to do useful things like writing reports, creating data and graphs, accessing datasets collected by others, preparing data, and conducting simple data analysis. In this book you’ll learn how to: install R and RStudio®, and set up an RStudio® project and folders; write an essay with graphs based on simple real-world data using R Markdown; create variables from everyday numeric information and visualize data through five types of charts—bar plot, histogram, pie chart, scatter plot, and time series line plot—to identify patterns in the data; write and run R programs, and prepare your data following the tidyverse approach; import external datasets into R, install R data packages, and carry out initial data validity checks; conduct exploratory data analysis through three exercises involving data on voting outcomes, natural resource consumption, and gross domestic product (GDP) via data visualization, correlation coefficient, and simple regression; and write a research paper on the impact of GDP per capita on life expectancy using R Markdown. Student-friendly language and examples (such as binge-watched shows on Netflix, and the top 5 songs on Spotify), cumulative learning, and practice exercises make this a must-have guide for a variety of courses where data are used and reports need to be written. Code and datasets used to carry out the examples in the book are available on an accompanying website.
Successful R Therapy
Author: Pamela Marshalla
Publisher:
ISBN: 9780970706072
Category : Articulation disorders in children
Languages : en
Pages : 240
Book Description
Designed to facilitate correct r in the most difficult clients with a blend of oral-motor and traditional articulation therapy. Understand how the jaw, lips, and tongue work for correct r production. See the difference between the consonantal and vocal r, and between the tip r and the back r. Motivate clients to participate and succeed in r therapy.
Publisher:
ISBN: 9780970706072
Category : Articulation disorders in children
Languages : en
Pages : 240
Book Description
Designed to facilitate correct r in the most difficult clients with a blend of oral-motor and traditional articulation therapy. Understand how the jaw, lips, and tongue work for correct r production. See the difference between the consonantal and vocal r, and between the tip r and the back r. Motivate clients to participate and succeed in r therapy.
Help Me Talk Right
Author: Mirla G. Raz
Publisher:
ISBN: 9780963542649
Category : L (The sound)
Languages : en
Pages : 94
Book Description
Publisher:
ISBN: 9780963542649
Category : L (The sound)
Languages : en
Pages : 94
Book Description
The Book of R
Author: Tilman M. Davies
Publisher: No Starch Press
ISBN: 1593276516
Category : Computers
Languages : en
Pages : 833
Book Description
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
Publisher: No Starch Press
ISBN: 1593276516
Category : Computers
Languages : en
Pages : 833
Book Description
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
Mastering Shiny
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 149204735X
Category : Computers
Languages : en
Pages : 372
Book Description
Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production
Publisher: "O'Reilly Media, Inc."
ISBN: 149204735X
Category : Computers
Languages : en
Pages : 372
Book Description
Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production
R for Data Science
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521
Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521
Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Oh Sew Easy(R) Table Toppers
Author: Jean Wells
Publisher: C&T Publishing Inc
ISBN: 1607050684
Category : Crafts & Hobbies
Languages : en
Pages : 68
Book Description
Set a Tempting Table With Toppers You Sew Yourself! Don’t worry if you’re a beginner! Jean and Valori show you how every step of the way with lots of illustrated how-to tips and techniques. A must-have addition to your Oh Sew Easy® home décor library. No patterns to follow — includes easy rotary-cutting instructions, ideas for fabric colors and themes, and how-tos for binding, hems, and edge treatments. Dinner at your house is the hottest ticket in town when you dress up your table with toppers you design and make! Say bye-bye to blah when you mix and match beautiful fabrics to create just the right look. No hard-to-handle tissue patterns, just easy step-by-step instructions for measuring and adapting the projects for your table. Lots of photos and examples get you inspired.
Publisher: C&T Publishing Inc
ISBN: 1607050684
Category : Crafts & Hobbies
Languages : en
Pages : 68
Book Description
Set a Tempting Table With Toppers You Sew Yourself! Don’t worry if you’re a beginner! Jean and Valori show you how every step of the way with lots of illustrated how-to tips and techniques. A must-have addition to your Oh Sew Easy® home décor library. No patterns to follow — includes easy rotary-cutting instructions, ideas for fabric colors and themes, and how-tos for binding, hems, and edge treatments. Dinner at your house is the hottest ticket in town when you dress up your table with toppers you design and make! Say bye-bye to blah when you mix and match beautiful fabrics to create just the right look. No hard-to-handle tissue patterns, just easy step-by-step instructions for measuring and adapting the projects for your table. Lots of photos and examples get you inspired.
R
Author: Felix Alvaro
Publisher:
ISBN: 9781533685018
Category :
Languages : en
Pages : 156
Book Description
Learn R Programming Today With This Easy, Step-By-Step Guide! Do you want to learn R Programming? Do you get overwhelmed by complicated lingo and want a guide that is easy to follow, detailed and written to make the process enjoyable? If so, "R: Easy R Programming for Beginners - Your Step-By-Step Guide To Learning R Programming" by Felix Alvaro is THE book for you! It covers the most essential topics you must learn to begin programming with R.With more than two million global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics. What you are going to learn in this step-by-step beginner's guide is how to master the fundamentals of such a gorgeous open-source programming language which includes vectors, data frames and lists.Not only is the language growing in popularity, but the demand for R Programmers is also rising, with skilled programmers getting paid an average annual salary of $115,000 per year! What Separates This Book From The Rest? What separates this book from all the others out there is the approach to teaching. A lot of the books you will stumble upon simply throw information at you, leaving you confused and stuck.We believe that books of this nature should be easy to grasp and written in jargon-free English you can understand, making you feel confident and allowing you to grasp each topic with ease.To help you achieve this, the guide has been crafted in a step-by-step manner which we feel is the best way for you to learn a new subject, one step at a time. It also includes various images to give you assurance you are going in the right direction, as well as having exercises where you can proudly practice your newly attained skills. You Will Learn The Following: The history of R programming and its benefits How to install R & R Studio and work with code editors The fundamentals of R syntax Function & Arguments R Programming with user packages Organizing data in Vectors Working with Data-Frames and Matrices Creating Lists Effective coding in R Controlling Logical Flow Woking with base graphics Creating Facetted graphics using Lattice And much more! So don't delay it any longer. Take this opportunity and invest in this guide now. You will be amazed by the skills you will quickly attain! Buy This Guide Now! See you inside!
Publisher:
ISBN: 9781533685018
Category :
Languages : en
Pages : 156
Book Description
Learn R Programming Today With This Easy, Step-By-Step Guide! Do you want to learn R Programming? Do you get overwhelmed by complicated lingo and want a guide that is easy to follow, detailed and written to make the process enjoyable? If so, "R: Easy R Programming for Beginners - Your Step-By-Step Guide To Learning R Programming" by Felix Alvaro is THE book for you! It covers the most essential topics you must learn to begin programming with R.With more than two million global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics. What you are going to learn in this step-by-step beginner's guide is how to master the fundamentals of such a gorgeous open-source programming language which includes vectors, data frames and lists.Not only is the language growing in popularity, but the demand for R Programmers is also rising, with skilled programmers getting paid an average annual salary of $115,000 per year! What Separates This Book From The Rest? What separates this book from all the others out there is the approach to teaching. A lot of the books you will stumble upon simply throw information at you, leaving you confused and stuck.We believe that books of this nature should be easy to grasp and written in jargon-free English you can understand, making you feel confident and allowing you to grasp each topic with ease.To help you achieve this, the guide has been crafted in a step-by-step manner which we feel is the best way for you to learn a new subject, one step at a time. It also includes various images to give you assurance you are going in the right direction, as well as having exercises where you can proudly practice your newly attained skills. You Will Learn The Following: The history of R programming and its benefits How to install R & R Studio and work with code editors The fundamentals of R syntax Function & Arguments R Programming with user packages Organizing data in Vectors Working with Data-Frames and Matrices Creating Lists Effective coding in R Controlling Logical Flow Woking with base graphics Creating Facetted graphics using Lattice And much more! So don't delay it any longer. Take this opportunity and invest in this guide now. You will be amazed by the skills you will quickly attain! Buy This Guide Now! See you inside!
Using R for Introductory Statistics
Author: John Verzani
Publisher: CRC Press
ISBN: 1315360306
Category : Computers
Languages : en
Pages : 522
Book Description
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
Publisher: CRC Press
ISBN: 1315360306
Category : Computers
Languages : en
Pages : 522
Book Description
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.