Home » R Primer
Product Image

R Primer

Claus Thorn Ekstrom
€72.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Claus Thorn Ekstrom
Author_Claus Thorn Ekstrom
beginner guide to statistical programming
Bland Altman Plot
bootstrapping methods
Categorical Explanatory Variables
Category=PBT
Category=UFM
Character Vector
Cook's Distance
Cook’s Distance
Cox Regression Model
CSV File
Csv Files
Current Working Directory
Data Frame
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
High Throughput Genomic Data
Html Table
Linear Mixed Effects Model
Mass Package
Model Formula
multivariate statistics
nonparametric techniques
Original Data Frame
Principal Component Regression
Quantile Regression
Quantile Regression Model
quantitative analysis
R graphics
R packages
R software
R Studio
Random Effect Terms
Random Forest
Regression Model
reproducible research
Roc Curve
SAS Dataset
Scatter Plot
statistical computing
survival data analysis
Time Varying Covariates

Product details

  • ISBN 9781138631977
  • Weight: 600g
  • Dimensions: 138 x 216mm
  • Publication Date: 01 Mar 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns
Description

Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this statistical software. This new edition adds coverage of R Studio and reproducible research.
About Claus Thorn Ekstrom

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.

More from this author