R data analysis without programming : explanation and interpretation /: explanation and interpretation. (2022)

• Record Type: Book
• Further Information: Note: David W. Gerbing.
• Authors: Gerbing, David W
• Contents: 1. R for Data Analysis. 2. Read and Write Data. 3. Manage Data. 4. Categorical Variables. 5. Continuous Variables. 6. Statistics. 7. Compare Two Samples. 8. Compare Multiple Samples. 9. Factorial Designs. 10. Correlation. 11. Regression Analysis. 12. Multiple Regression. 13. Categorical Regression Variables. 14. Causality. 15. Item and Factor Analysis. 16. References. 17. Index.
• Edition: Second edition
• Publisher Details: London : Routledge
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 519.502855133; R (Computer program language); Mathematical statistics -- Data processing
• Languages: English
• ISBNs: 9781000812909; 9781000812862
• Related ISBNs: 9781032244020; 9781032244037
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.