Podcast
Questions and Answers
Who is the author of 'R in Action'?
Who is the author of 'R in Action'?
Robert I. Kabacoff
Which publisher published 'R in Action'?
Which publisher published 'R in Action'?
- Springer
- O'Reilly
- Packt
- Manning Publications (correct)
The book 'R in Action' was published in 2011.
The book 'R in Action' was published in 2011.
True (A)
Manning books are printed on paper that is at least __ percent recycled.
Manning books are printed on paper that is at least __ percent recycled.
What is the email address for orders at Manning Publications?
What is the email address for orders at Manning Publications?
What is the purpose of the introduction to R?
What is the purpose of the introduction to R?
What are the four graphic systems in R?
What are the four graphic systems in R?
The pwr package is used for implementing power analysis.
The pwr package is used for implementing power analysis.
In regression, the ______ function is commonly used to fit a model.
In regression, the ______ function is commonly used to fit a model.
Which section covers advanced methods for missing data?
Which section covers advanced methods for missing data?
What is the purpose of generalized linear models?
What is the purpose of generalized linear models?
What is a significant feature of R?
What is a significant feature of R?
R is an open-source project.
R is an open-source project.
What approach did the author take to learn R?
What approach did the author take to learn R?
R is supported by a large and diverse __________ of data scientists and programmers.
R is supported by a large and diverse __________ of data scientists and programmers.
Who asked the author to write the book?
Who asked the author to write the book?
What did the author do when he was offered a job related to R?
What did the author do when he was offered a job related to R?
R in Action is suitable for users with a statistical background only.
R in Action is suitable for users with a statistical background only.
The book contains __________ chapters divided into several parts.
The book contains __________ chapters divided into several parts.
What does Chapter 1 cover?
What does Chapter 1 cover?
What does Chapter 10 focus on?
What does Chapter 10 focus on?
What is R primarily used for?
What is R primarily used for?
R is a case-sensitive programming language.
R is a case-sensitive programming language.
What is the purpose of the setwd() function in R?
What is the purpose of the setwd() function in R?
The function used to obtain help on a specific function in R is called ______.
The function used to obtain help on a specific function in R is called ______.
Match the R functions with their descriptions:
Match the R functions with their descriptions:
What is the output of mean(weight) if the weight data for infants is 7.06 kilograms?
What is the output of mean(weight) if the weight data for infants is 7.06 kilograms?
What type of data structure is a data frame in R?
What type of data structure is a data frame in R?
R allows you to create graphs easily.
R allows you to create graphs easily.
What does the command plot(age, weight) do?
What does the command plot(age, weight) do?
What function can you use to search for help on a specific topic online?
What function can you use to search for help on a specific topic online?
Which method is NOT mentioned as a way to test independence of categorical variables?
Which method is NOT mentioned as a way to test independence of categorical variables?
What function is used to perform a chi-square test of independence in R?
What function is used to perform a chi-square test of independence in R?
The p-value indicates the probability of obtaining the sampled results assuming independence of the variables.
The p-value indicates the probability of obtaining the sampled results assuming independence of the variables.
To produce Fisher’s exact test, you use the function ______
To produce Fisher’s exact test, you use the function ______
When might the chi-square test approximation be invalid?
When might the chi-square test approximation be invalid?
In the given example, what was the p-value for the relationship between treatment and improvement?
In the given example, what was the p-value for the relationship between treatment and improvement?
What does the fisher.test() function evaluate?
What does the fisher.test() function evaluate?
What is R?
What is R?
Which of the following features recommend R as a statistical tool? (Select all that apply)
Which of the following features recommend R as a statistical tool? (Select all that apply)
R can import data from a wide variety of sources.
R can import data from a wide variety of sources.
Match the following terms with their descriptions:
Match the following terms with their descriptions:
What does R allow you to do with the results of any analytic step?
What does R allow you to do with the results of any analytic step?
R is an interactive language that indicates readiness for the next line of user input with a prompt (______ by default).
R is an interactive language that indicates readiness for the next line of user input with a prompt (______ by default).
Which operating systems have versions of R available? (Select all that apply)
Which operating systems have versions of R available? (Select all that apply)
What function is used to calculate row means of a matrix?
What function is used to calculate row means of a matrix?
What is the output of apply(mydata, 1, mean)?
What is the output of apply(mydata, 1, mean)?
What does the trim parameter in apply(mydata, 2, mean, trim=0.2) do?
What does the trim parameter in apply(mydata, 2, mean, trim=0.2) do?
How does the ‘grade’ variable get created in the roster?
How does the ‘grade’ variable get created in the roster?
Which function is used to standardize variables before combining them?
Which function is used to standardize variables before combining them?
The for loop executes a statement repetitively until the condition is no longer true.
The for loop executes a statement repetitively until the condition is no longer true.
What is the purpose of the order() function?
What is the purpose of the order() function?
You can recode students’ percentile ranks into a categorical grade variable using _____ operators.
You can recode students’ percentile ranks into a categorical grade variable using _____ operators.
The sapply() function is less user-friendly than lapply().
The sapply() function is less user-friendly than lapply().
Study Notes
Publication Information
- Title: "R in Action: Data Analysis and Graphics with R"
- Author: Robert I. Kabacoff
- Publisher: Manning Publications Co.
- Year of Publication: 2011
- Location: Shelter Island, NY
Licensing and Copyright
- All rights reserved by Manning Publications Co.
- Prohibits reproduction, storage, or transmission without prior written permission.
- Designations used by manufacturers may be trademarks and are printed in caps when applicable.
Environmental Commitment
- Books printed on acid-free paper.
- Commitment to using paper that is at least 15% recycled.
- Processed without the use of elemental chlorine to conserve resources.
Contact Information
- Website: www.manning.com for further information and ordering
- Special Sales Department contact available for quantity discounts and inquiries.### Development Team and Publication Information
- Development editor: Sebastian Stirling
- Copyeditor: Liz Welch
- Typesetter: Composure Graphics
- Cover designer: Marija Tudor
- ISBN: 9781935182399
- Printed in the United States
Structure of the Book
- Organized into four main parts: Getting Started, Basic Methods, Intermediate Methods, and Advanced Methods
- Each part contains a varied number of chapters focusing on different aspects of using R for data analysis
Part I: Getting Started
- Introduction to R: Reasons for using R and installation procedures
- Working with datasets: Understanding data structures like vectors, matrices, data frames, and factors
- Data management basics: Creating, recoding, and merging datasets
Part II: Basic Methods
- Basic Graphs: Techniques for creating bar plots, histograms, and pie charts
- Statistical Concepts: Overview of descriptive statistics, frequency tables, and correlations
Part III: Intermediate Methods
- Regression Analysis: Detailed exploration of Ordinary Least Squares (OLS) regression, diagnostics, and model selection
- Analysis of Variance (ANOVA): Concepts around one-way and two-way ANOVA, plus MANOVA
- Resampling techniques: Permutation tests and bootstrapping methods
Part IV: Advanced Methods
- Generalized Linear Models: Techniques for logistic and Poisson regression with in-depth diagnostics
- Principal Components and Factor Analysis: Methods for extracting and interpreting components and factors
- Handling Missing Data: Strategies for identification, analysis, and imputation
- Advanced Graphics: Introduction to graphic systems in R and detailed exploration of ggplot2 and lattice packages
Additional Information
- Includes appendices for GUI interfaces, exporting data, creating publication-quality output, and matrix algebra in R
- Includes references and an index for quick navigation through topics ### Introduction to R
- R is a flexible platform for exploring, visualizing, and understanding data with more than 50,000 analytic and graphic functions.
- R is perceived as difficult to learn, but with proper guidance, it can be approachable for users of all experience levels.
Learning R
- The author's initial encounter with R occurred during a job application, prompting a fast-paced self-study approach.
- Learning resources often focused on either the structure of the language or advanced statistical methods, but lacked practical tutorials for beginners.
- Experiential learning through teaching led to the creation of a supportive website for R learners.
Book Overview
- The book aims to serve as a comprehensive guide to R, designed to ease the learning curve associated with the platform.
- Key components include methods for accessing, cleaning, annotating, summarizing, visualizing, and modeling data effectively.
Target Audience
- Suitable for individuals dealing with data, regardless of their programming or statistical background.
- Accessible chapters cater to novices, while advanced topics satisfy experienced R users.
Structure of the Book
- Organized into four parts: "Getting Started," "Basic Methods," "Intermediate Methods," and "Advanced Methods."
- Includes 16 chapters and 8 appendices, covering a broad range of data analysis techniques and graphical methods.
Topics Covered
- Initial chapters focus on obtaining R, data structures, and importing data from various sources.
- Visualization techniques are emphasized early, along with basic data management functions like sorting and subsetting.
- Advanced statistical methods include regression analysis, analysis of variance (ANOVA), and approaches for handling missing data.
Practical Applications
- Real-world examples across various fields such as psychology, medicine, and business enhance applicability.
- Enhanced understanding through smaller datasets allows a focus on techniques rather than domain-specific knowledge.
Additional Resources
- Access to code examples and supplementary materials online supports ongoing learning.
- Encouragement to actively experiment with R to foster comprehension and skill development.
Acknowledgments
- Many individuals contributed to the book's development, including editors, reviewers, and family support.
- Recognition of the broader R community and software authors who enhance R's capabilities through package development.
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Description
This quiz explores the key concepts and techniques from 'R in Action' by Robert I. Kabacoff, focusing on data analysis and graphics using R. Test your knowledge on the practical applications of R for statistical analysis and data visualization.
