AirQuality: Daily ozone pollution with meteorlogical and date inputs

In bestglm: Best Subset GLM and Regression Utilities

Description

This dataset was derived from the R built-in dataset 'airquality' by adding date information and deleting all missing values. This dataset is referred to as 'environmental' in Cleveland (1993).

Usage

data(AirQuality)

Format

A data frame with 111 observations on the following 6 variables.

Solar.R

input, a numeric vector

Wind

input, a numeric vector

Temp

input, a numeric vector

month

input, a factor with levels May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr

weekday

input, a factor with levels Sunday Monday Tuesday Wednesday Thursday Friday Saturday

Ozone

output, a numeric vector

Details

Cleveland (1993, Chapter 5) presents an insightful analysis using co-plots and the scatterplot matrix. Several interesting interactions are noted. For a fixed 'Wind‘, the effect of ’Solar.R' changes as 'Temp' increases. And for a fixed 'Temp', as 'Wind' decreases, the effect of 'Solar.R' is less.

Source

airquality

References

Cleveland, W.S. (1993). Visualizing Data.

Examples

data(AirQuality)
#Example 1. Find best model
bestglm(AirQuality, IC="BIC")

bestglm documentation built on March 26, 2020, 7:25 p.m.