R Dataset / Package lattice / environmental

On this R-data statistics page, you will find information about the environmental data set which pertains to Atmospheric environmental conditions in New York City . The environmental data set is found in the lattice R package. You can load the environmental data set in R by issuing the following command at the console data("environmental"). This will load the data into a variable called environmental. If R says the environmental data set is not found, you can try installing the package by issuing this command install.packages("lattice") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the environmental R data set. The size of this file is about 1,591 bytes.

Atmospheric environmental conditions in New York City

Description

Daily measurements of ozone concentration, wind speed, temperature and solar radiation in New York City from May to September of 1973.

Usage

environmental

Format

A data frame with 111 observations on the following 4 variables.

ozone: Average ozone concentration (of hourly measurements) of in parts per billion.
radiation: Solar radiation (from 08:00 to 12:00) in langleys.
temperature: Maximum daily emperature in degrees Fahrenheit.
wind: Average wind speed (at 07:00 and 10:00) in miles per hour.

Author(s)

Documentation contributed by Kevin Wright.

Source

Bruntz, S. M., W. S. Cleveland, B. Kleiner, and J. L. Warner. (1974). The Dependence of Ambient Ozone on Solar Radiation, Wind, Temperature, and Mixing Height. In Symposium on Atmospheric Diffusion and Air Pollution, pages 125–128. American Meterological Society, Boston.

References

Cleveland, William S. (1993) Visualizing Data. Hobart Press, Summit, New Jersey.

Examples

# Scatter plot matrix with loess lines
splom(~environmental,
panel=function(x,y){
panel.xyplot(x,y)
panel.loess(x,y)
}
)
# Conditioned plot similar to figure 5.3 from Cleveland
attach(environmental)
Temperature <- equal.count(temperature, 4, 1/2)
Wind <- equal.count(wind, 4, 1/2)
xyplot((ozone^(1/3)) ~ radiation | Temperature * Wind,
aspect=1,
prepanel = function(x, y) 
prepanel.loess(x, y, span = 1),
panel = function(x, y){
panel.grid(h = 2, v = 2)
panel.xyplot(x, y, cex = .5)
panel.loess(x, y, span = 1)
},
xlab = "Solar radiation (langleys)",
ylab = "Ozone (cube root ppb)")
detach()# Similar display using the coplot function
with(environmental,{
coplot((ozone^.33) ~ radiation | temperature * wind,
number=c(4,4),
panel = function(x, y, ...) panel.smooth(x, y, span = .8, ...),
xlab="Solar radiation (langleys)",
ylab="Ozone (cube root ppb)")
})

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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