R Primer

List of contents

Preface. Importing data. Reading spreadsheets. Importing data from other statistical software programs. Exporting data. Manipulating data. Working with data frames. Factors. Transforming variables. Statistical analyses. Descriptive statistics. Linear models. Generalized linear models. Methods for analysis of repeated measurements. Specific methods. Model validation. Contingency tables. Agreement. Multivariate methods. Resampling statistics and bootstrapping. Robust statistics. Non-parametric methods. Survival analysis. Graphics. High-level plots. More advanced graphics. Working with graphics. Getting information. R packages. The R workspace. R Studio. Getting information. Using R Studio for reproducible research. Large datasets. Bibliography. Index.

About the author

Claus Thorn Ekstrøm is an associate professor of statistics in the Department of Basic Sciences and Environment and leader of the Center for Applied Bioinformatics at the University of Copenhagen. His research interests include genetic marker error detection, simulation-based inference, image analysis, and the analysis of microarray DNA chips, metabolic profiles, and quantitative traits for complex human families.

Product details

• Authors: Claus Thorn Ekstrom, Claus Thorn (University of Copenhagen Ekstrom, Ekstrom Claus Thorn
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 01.03.2017
• EAN: 9781138631977
• ISBN: 978-1-138-63197-7
• No. of pages: 426
• Series: Chapman & Hall/CRC The R Series
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, COMPUTERS / Mathematical & Statistical Software, Probability & statistics, Mathematical & statistical software, Probability and statistics, Mathematical and statistical software