
Series Use R! (Springer)
71 Works
Popularity 18,869 (514 Members)
1,588 Books
12 Reviews
3.4
- Analysis of Integrated and Co-integrated Time Series with R by Bernhard Pfaff
- Analysis of Phylogenetics and Evolution with R by Emmanuel Paradis
- Analyzing Compositional Data with R (Use R!) by van den Boogaart K Gerald
- Applied Econometrics with R by Christian Kleiber
- Applied Spatial Data Analysis with R by Roger S. Bivand
- Applied Statistical Genetics with R: For Population-based Association Studies by Andrea S. Foulkes
- Applied Survival Analysis Using R by Dirk F. Moore
- Audit Analytics: Data Science for the Accounting Profession (Use R!) by J. Christopher Westland
- Bayesian Computation with R by Jim Albert
- Bayesian Cost-Effectiveness Analysis with the R package BCEA by Gianluca Baio
- Bayesian Networks in R: with Applications in Systems Biology by Radhakrishnan Nagarajan
- A Beginner's Guide to R by Alain Zuur
- Behavioral Research Data Analysis with R by Yuelin Li
- Bioconductor Case Studies by Florian Hahne
- Biostatistics with R: An Introduction to Statistics Through Biological Data (Use R!) by Babak Shahbaba
- Business Analytics for Managers (Use R!) by Wolfgang Jank
- Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences by Ron Wehrens
- Competing risks and multistate models with R by Jan Beyersmann
- Computerized Adaptive and Multistage Testing with R by David Magis
- Data Manipulation with R by Phil Spector
DescriptionsEdit Descriptions
- This series of inexpensive and focused books on R is aimed at practitioners. Books can discuss the use of R in a particular subject area (e.g., epidemiology, econometrics, psychometrics) or as it relates to statistical topics (e.g., missing data, longitudinal data). In most cases, books combine LaTeX and R so that the code for figures and tables can be put on a website. Authors should assume a background as supplied by Dalgaard’s Introductory Statistics with R or other introductory books so that each book does not repeat basic material.
URL: https://www.springer.com…springer.com/series/6991 (English, Publisher)
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