environmental {lattice} | R Documentation |
Daily measurements of ozone concentration, wind speed, temperature and solar radiation in New York City from May to September of 1973.
environmental
A data frame with 111 observations on the following 4 variables.
Documentation contributed by Kevin Wright.
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.
Cleveland, William S. (1993). Visualizing Data. Hobart Press, Summit, New Jersey.
# 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)") })