Home » Handbook of Statistical Analyses using R
Product Image

Handbook of Statistical Analyses using R

Torsten Hothorn
€254.20
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Brian S. Everitt
A01=Torsten Hothorn
Ab Ilit
Additive Quantile Regression
advanced statistical modeling
analysis of variance
Author_Brian S. Everitt
Author_Torsten Hothorn
Bayesian statistics
Brian S. Everitt
Category=PBT
Category=PS
Cloud Seeding
Conditional Quantiles
Cumulative Distribution Function
Data Set
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Gee Procedure
generalized linear models
graphical displays
Head Circumference
Linear Mixed Effect Models
longitudinal data
Lung Cancer Case Control Study
Median Regression Model
meta-analysis methods
Min 1Q Median 3Q Max
Missing Values
multidimensional scaling
Multiple Linear Regression
Multiply Imputed Data
NA NA
NA NA Non
Pa Rti
principal component analysis
Proportional Odds Model
Quantile Regression
R
Random Intercept Model
regression
Scatterplot Matrix
Scatterplot Smoothers
Simple Linear Regression Fit
simultaneous inference
statistical analyses
Summary Method
survival data analysis

Product details

  • ISBN 9781138469792
  • Weight: 1000g
  • Dimensions: 156 x 234mm
  • Publication Date: 18 Dec 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns
Description

Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis.
New to the Third Edition

Three new chapters on quantile regression, missing values, and Bayesian inference
Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables
Additional exercises
More detailed explanations of R code
New section in each chapter summarizing the results of the analyses
Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses

Whether you‘re a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results.
About Brian S. Everitt | Torsten Hothorn
Torsten Hothorn, Brian S. Everitt

More from this author