R Data Analysis Without Programming: Explanation and Interpretation

ISBN-13: 9781032244020 / Angielski / Twarda / 2023 / 378 str.

David W. Gerbing

Opis

The new edition of this innovative book prepares the readers to quickly analyse data and interpret statistical results using R. Professor Gerbing has developed lessR, which is a ground-breaking method in alleviating the challenges of R programming and extends R by removing the need for programming.

Spis treści

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.

O autorze

David Gerbing is Professor in the Applied Data Science program in the School of Business, Portland State University. He has published extensively in a wide range of social, behavioral, and methodological journals, and contributed some basic methodological concepts to develop the two-step method for the analysis called structural equation modeling.