R: Daily ozone pollution with meteorlogical and date inputs

AirQuality {bestglm} | R Documentation

## Daily ozone pollution with meteorlogical and date inputs

### 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")

[Package bestglm version 0.36 Index]