Full Description
This book provides a complete practical guide of processing data in public health with R language. On the basis of the author's research and teaching experiences, this book serves either as a textbook for undergraduates and graduates in public health or as a tutorial for self-learning. Many first-hand examples are presented with source data, R scripts, and graphs, as well as detailed explanations, which could be easily reproduced by readers so as to better understand the data processing principles and procedures. Popular and novel R packages in public health are introduced as well.
Contents
Part I. Collecting data.- Research design.- Sampling data.- Part II. Processing data.- Cleaning data.- Data types.- Part III. Analyzing data.- Statistics.- Hypothesis testing.- Model.- R packages in public health.- Part IV. Visualizing data.- Basic graphs.- Advanced plotting packages.- Interactive graphs.- Part V. Presenting data.- Data reports.- poster and slides.- Manuscript and Thesis.- Part VI. Managing data.- Project management.- Appendix.
