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

60

**BtheB:**Beat the Blues Data**CYGOB1:**CYG OB1 Star Cluster Data**Forbes2000:**The Forbes 2000 Ranking of the World's Biggest Companies...**gardenflowers:**Garden Flowers Data**schizophrenia:**Age of Onset of Schizophrenia Data**schizophrenia2:**Schizophrenia Data**USairpollution:**Air Pollution in US Cities**Browse all...**

Popular Man pages

Description Usage Format Details Source Examples

Air pollution data of 41 US cities.

1 | ```
data("USairpollution")
``` |

A data frame with 41 observations on the following 7 variables.

`SO2`

SO2 content of air in micrograms per cubic metre.

`temp`

average annual temperature in Fahrenheit.

`manu`

number of manufacturing enterprises employing 20 or more workers.

`popul`

population size (1970 census); in thousands.

`wind`

average annual wind speed in miles per hour.

`precip`

average annual precipitation in inches.

`predays`

average number of days with precipitation per year.

The annual mean concentration of sulphur dioxide, in micrograms per cubic metre, is a measure of the air pollution of the city. The question of interest here is what aspects of climate and human ecology as measured by the other six variables in the data determine pollution?

R. R. Sokal and F. J. Rohlf (1981), *Biometry*,
W. H. Freeman, San Francisco (2nd edition).

1 | ```
data("USairpollution", package = "HSAUR3")
``` |

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

What can we improve?

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.

Close