UID:
almahu_9949468846702882
Format:
XIII, 194 p. 46 illus., 33 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9789819901357
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789819901340
Additional Edition:
Printed edition: ISBN 9789819901364
Additional Edition:
Printed edition: ISBN 9789819901371
Language:
English
DOI:
10.1007/978-981-99-0135-7
URL:
https://doi.org/10.1007/978-981-99-0135-7
URL:
Volltext
(URL des Erstveröffentlichers)
