Moving from IBM SPSS to R and RStudio : a statistics companion /: a statistics companion. (2021)

• Record Type: Book
• Further Information: Note: Howard T. Tokunaga.
• Authors: Tokunaga, Howard T
• Contents: About the Author; Acknowledgments; Introduction; Chapter 1. Introduction to R; 1.1 What Is R?; 1.2 Why are Some Features of R?; 1.3 Installing R and Getting Help Learning R; 1.4 Conducting Statistical Analyses in Spss Versus R: A First Example; 1.5 Comparing Spss and R; Chapter 2. Preparing to Use R and Rstudio; 2.1 Tasks to Perform Before Your First R Session; 2.2 Tasks to Perform Before Any R Session; 2.3 Tasks To Perform During Any R Session; Chapter 3. R Terms, Concepts, and Command Structure; 3.1 Data-Related Terms; 3.2 Command-Related Terms; 3.3 Object-Related Terms; 3.4 File-Related Terms; Chapter 4. Introduction to Rstudio; 4.1 What Is RStudio?; 4.2 Installing RStudio; 4.3 Components of RStudio; 4.4 Writing and Executing R Commands in RStudio; Chapter 5. Conducting Rstudio Sessions: A Detailed Example; 5.1 1. Start RStudio; 5.2 2. Create a New Script File (Optional); 5.3 3. Define the Working Directory; 5.4 4. Import CSV File to Create a Data Frame; 5.5 5. Change Any Missing Data in Data Frame to NA; 5.6 6. Save Data Frame With NAs As CSV File in the Working Directory; 5.7 7. Read the Modified CSV File to Create a Data Frame; 5.8 8. Download and Install Packages (If Not Already Done); 5.9 9. Load Installed Packages (As Needed); 5.10 10. Conduct Desired Statistical Analyses; 5.11 11. Open a New Markdown File; 5.12 12. Copy Commands and Comments into the Markdown File; 5.13 13. Knit the Markdown File to Create a Markdown Document; 5.14 Exiting Rstudio (Save the Workspace Image?); 5.15 Getting Help With R; Chapter 6. Conducting Rstudio Sessions: A Brief Example; 6.1 1. Start RStudio; 6.2 2. Create a New Script File (Optional); 6.3 3. Define the Working Directory; 6.4 4. Import CSV File to Create a Data Frame; 6.5 5. Change Any Missing Data in Data Frame to NA; 6.6 6. Save Data Frame with NAs as CSV File in the Working Directory; 6.7 7. Read the Modified CSV File to Create a Data Frame; 6.8 8. Download and Install Packages (If Not Already Done); 6.9 9. Load Installed Packages (As Needed); 6.10 10. Conduct Desired Statistical Analyses; 6.11 11. Open a New Markdown File; 6.12 12. Copy Commands and Comments into the Markdown File; 6.13 13. Knit the Markdown File to Create a Markdown Document; 6.14 Exiting RStudio; Chapter 7. Conducting Statistical Analyses Using This Book: A Detailed Example; 7.1 1. Start RStudio; 7.2 2. Copy and Paste an Example Script into a Script File; 7.3 3. Modify the Example Script as Needed for the Desired Statistical Analysis; 7.4 4. Execute the Script to Confirm It Works Properly; 7.5 5. Copy and Paste the Script into a Markdown File; 7.6 6. Knit the Markdown File to Create a Markdown Document; Chapter 8. Conducting Statistical Analyses Using This Book: A Brief Example; 8.1 1. Start RStudio; 8.2 2. Copy and Paste an Example Script into a Script File; 8.3 3. Modify the Example Script as Needed for the Desired Statistical Analysis; 8.4 4. Execute the Script to Confirm it Works Properly; 8.5 5. Copy and Paste the Script into a Markdown File; 8.6 6. Knit the Markdown File to Create a Markdown Document; Chapter 9. Working With Data Frames and Variables in R; 9.1 Working with Data Frames; 9.2 Working With Variables; Chapter 10. Conducting Statistical Analyses Using SPSS Syntax; 10.1 Conducting Analyses in SPSS Using Menu Choices; 10.2 Conducting Analyses in Spss Using Syntax Commands; 10.3 Editing SPSS Output Files; Appendix A: Data Transformations; Reverse Score a Variable (Recode); Reduce the Number of Groups in a Categorical Variable (Recode); Create a Categorical Variable from a Continuous Variable (Recode); Create a Variable from Other Variables (Minimum Number of Valid Values) (Compute); Create a Variable from Occurrences of Values of Other Variables (Count); Perform Data Transformations When Conditions are Met (IF); Perform Data Transformations Under Specified Conditions (DO IF/END IF); Perform Data Transformations Under Different Specified Conditions (DO IF/ELSE IF/END IF); Use Numeric Functions in Data Transformations (ABS, RND, TRUNC, SQRT); Appendix B: Statistical Procedures; Descriptive Statistics (All Variables); Descriptive Statistics (Selected Variables); Descriptive Statistics (Selected Variables) by Group; Frequency Distribution Table; Histogram; t-Test for One Mean; Confidence Interval for the Mean; T-Test for Independent Means; T-Test for Dependent Means (Repeated-Measures T-Test); One-Way Anova and Tukey Post-Hoc Comparisons; One-Way Anova and Trend Analysis; Single-Factor Within-Subjects (Repeated Measures) Anova; Two-Factor Between-Subjects Anova; Two-Factor Between-Subjects Anova (Simple Effects); Two-Factor Between-Subjects Anova (Simple Comparisons); Two-Factor Between-Subjects Anova (Main Comparisons); Two-Factor Mixed Factorial Anova; Two-Factor Within-Subjects Anova; Three-Factor Between-Subjects Anova; Pearson Correlation (One Correlation); Pearson Correlation (Correlation Matrix); Scatterplot; Internal Consistency (Cronbach’s Alpha); Principal Components Analysis (Varimax Rotation); Principal Components Analysis (Oblique Rotation); Factor Analysis (Principal Axis Factoring); Linear Regression; Multiple Regression (Standard); Multiple Regression (Hierarchical With Two Steps); Multiple Regression (Hierarchical With Three Steps); Multiple Regression (Testing Moderator Variables Using Hierarchical Regression); Multiple Regression (Portraying A Significant Moderating Effect); Multiple Regression (Stepwise); Multiple Regression (Backward); Multiple Regression (Forward); Canonical Correlation Analysis; Discriminant Analysis (Two Groups); Discriminant Analysis (Three Groups); Cross-Tabulation and the Chi-Square Test of Independence; Further Resources;
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2021
• Extent: 1 online resource
• Subjects: 001.42202855133; Research -- Statistical methods; R (Computer program language)
• Languages: English
• ISBNs: 9781071817018
• Related ISBNs: 9781071817001
• Notes: Note: Description based on CIP data; resource not viewed.
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