ozone | R Documentation |
Los Angeles ozone pollution data in 1976 (sources: Breiman & Friedman 1985, Leisch & Dimitriadou 2020).
data(ozone)
A list with 1 component: the matrix X
with 366 observations, 13 variables. The variable to predict is V4.
V1
Month: 1 = January, ..., 12 = December
V2
Day of month
V3
Day of week: 1 = Monday, ..., 7 = Sunday
V4
Daily maximum one-hour-average ozone reading
V5
500 millibar pressure height (m) measured at Vandenberg AFB
V6
Wind speed (mph) at Los Angeles International Airport (LAX)
V7
Humidity (%) at LAX
V8
Temperature (degrees F) measured at Sandburg, CA
V9
Temperature (degrees F) measured at El Monte, CA
V10
Inversion base height (feet) at LAX
V11
Pressure gradient (mm Hg) from LAX to Daggett, CA
V12
Inversion base temperature (degrees F) at LAX
V13
Visibility (miles) measured at LAX
Breiman L., Friedman J.H. 1985. Estimating optimal transformations for multiple regression and correlation, JASA, 80, pp. 580-598.
Leisch, F. and Dimitriadou, E. (2010). mlbench: Machine Learning Benchmark Problems. R package version 1.1-6. https://cran.r-project.org/.
data(ozone)
z <- ozone$X
head(z)
plotxna(z)
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