A Handbook of Statistical Analyses Using R (3rd Edition)

Vignettes

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

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**agefat:**Total Body Composision Data**aspirin:**Aspirin Data**backpain:**Driving and Back Pain Data**BCG:**BCG Vaccine Data**birds:**Birds in Paramo Vegetation Data**birthdeathrates:**Birth and Death Rates Data**bladdercancer:**Bladder Cancer Data**bp:**Lowering Blood Pressure Data**BtheB:**Beat the Blues Data**CHFLS:**Chinese Health and Family Life Survey**clouds:**Cloud Seeding Data**CYGOB1:**CYG OB1 Star Cluster Data**EFT:**Embedded Figures Test Data**epilepsy:**Epilepsy Data**Forbes2000:**The Forbes 2000 Ranking of the World's Biggest Companies...**foster:**Foster Feeding Experiment**gardenflowers:**Garden Flowers Data**GHQ:**General Health Questionnaire**heptathlon:**Olympic Heptathlon Seoul 1988**household:**Household Expenditure Data**HSAURtable:**Produce LaTeX Tables**Lanza:**Prevention of Gastointestinal Damages**mastectomy:**Survival Times after Mastectomy of Breast Cancer Patients**men1500m:**Winners of the Olympic Men's 1500m**meteo:**Meteorological Measurements for 11 Years**orallesions:**Oral Lesions in Rural India**phosphate:**Phosphate Level Data**pistonrings:**Piston Rings Failures**planets:**Exoplanets Data**plasma:**Blood Screening Data**polyps:**Familial Andenomatous Polyposis**polyps3:**Familial Andenomatous Polyposis**pottery:**Romano-British Pottery Data**rearrests:**Rearrests of Juvenile Felons**respiratory:**Respiratory Illness Data**roomwidth:**Students Estimates of Lecture Room Width**schizophrenia:**Age of Onset of Schizophrenia Data**schizophrenia2:**Schizophrenia Data**schooldays:**Days not Spent at School**skulls:**Egyptian Skulls**smoking:**Nicotine Gum and Smoking Cessation**Smoking_DollHill1950:**Smoking and Lung Cancer (IV)**Smoking_Mueller1940:**Smoking and Lung Cancer (I)**Smoking_SchairerSchoeniger1944:**Smoking and Lung Cancer (II)**Smoking_Wassink1945:**Smoking and Lung Cancer (III)**students:**Student Risk Taking**suicides:**Crowd Baiting Behaviour and Suicides**suicides2:**Male Suicides Data**toenail:**Toenail Infection Data**toothpaste:**Toothpaste Data**Browse all...**

Description Usage Format Details Source Examples

Several meteorological measurements for a period between 1920 and 1931.

1 | ```
data("meteo")
``` |

A data frame with 11 observations on the following 6 variables.

`year`

the years.

`rainNovDec`

rainfall in November and December (mm).

`temp`

average July temperature.

`rainJuly`

rainfall in July (mm).

`radiation`

radiation in July (millilitres of alcohol).

`yield`

average harvest yield (quintals per hectare).

Carry out a principal components analysis of both the covariance matrix and the correlation matrix of the data and compare the results. Which set of components leads to the most meaningful interpretation?

B. S. Everitt and G. Dunn (2001), *Applied Multivariate Data
Analysis*, 2nd edition, Arnold, London.

1 2 |

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