CRAN/E | HSAUR2

HSAUR2

A Handbook of Statistical Analyses Using R (2nd Edition)

Installation

About

Functions, data sets, analyses and examples from the second edition of the book ”A Handbook of Statistical Analyses Using R” (Brian S. Everitt and Torsten Hothorn, Chapman & Hall/CRC, 2008). The first chapter of the book, which is entitled ”An Introduction to R”, is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, the package contains Sweave code for producing slides for selected chapters (see HSAUR2/inst/slides).

Key Metrics

Version 1.1-20
R ≥ 2.2.0
Published 2023-09-08 225 days ago
Needs compilation? no
License GPL-2
CRAN checks HSAUR2 results

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Maintainer

Maintainer

Torsten Hothorn

Torsten.Hothorn@R-project.org

Authors

Brian S. Everitt
Torsten Hothorn

Material

NEWS
Reference manual
Package source

Vignettes

Chapter Analysing Longitudinal Data I
Chapter Analysing Longitudinal Data II
Chapter Analysis of Variance
Chapter Cluster Analysis
Chapter Conditional Inference
Chapter Density Estimation
Errata
Generalised Additive Models
Chapter Data Analysis using Graphical Displays
Chapter An Introduction to R
Chapter Logistic Regression and Generalised Linear Models
Chapter Meta-Analysis
Chapter Multidimensional Scaling
Multiple Linear Regression
Chapter Principal Component Analysis
Chapter Recursive Partitioning
Chapter Simple Inference
Chapter Simultaneous Inference and Multiple Comparisons
Chapter Survival Analysis

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

HSAUR2 archive

Depends

R ≥ 2.2.0
tools

Suggests

lattice
MASS
scatterplot3d ≥ 0.3-23
ape ≥ 1.6
coin ≥ 1.1-3
flexmix ≥ 1.1-0
gee ≥ 4.13-10
lme4 ≥0.98-1
mclust ≥ 3.0-0
party ≥ 0.2-8
randomForest ≥4.5-12
rmeta ≥ 2.12
vcd ≥ 0.9-3
survival
rpart
gamair
multcomp ≥ 1.0-3
sandwich
mboost
KernSmooth
Matrix
boot
mgcv
mvtnorm
partykit
wordcloud
TH.data

Reverse Depends

MVA

Reverse Suggests

gips
HSAUR3