H_ethanol {lattice} | R Documentation |
Engine exhaust fumes from burning ethanol
Description
Ethanol fuel was burned in a single-cylinder engine. For various settings of the engine compression and equivalence ratio, the emissions of nitrogen oxides were recorded.
Usage
ethanol
Format
A data frame with 88 observations on the following 3 variables.
- NOx
Concentration of nitrogen oxides (NO and NO2) in micrograms/J.
- C
Compression ratio of the engine.
- E
Equivalence ratio–a measure of the richness of the air and ethanol fuel mixture.
Author(s)
Documentation contributed by Kevin Wright.
Source
Brinkman, N.D. (1981) Ethanol Fuel—A Single-Cylinder Engine Study of Efficiency and Exhaust Emissions. SAE transactions, 90, 1410–1424.
References
Cleveland, William S. (1993) Visualizing Data. Hobart Press, Summit, New Jersey.
Examples
## Constructing panel functions on the fly
EE <- equal.count(ethanol$E, number=9, overlap=1/4)
xyplot(NOx ~ C | EE, data = ethanol,
prepanel = function(x, y) prepanel.loess(x, y, span = 1),
xlab = "Compression ratio", ylab = "NOx (micrograms/J)",
panel = function(x, y) {
panel.grid(h=-1, v= 2)
panel.xyplot(x, y, grid = FALSE)
panel.loess(x, y, span = 1)
},
aspect = "xy")
# Wireframe loess surface fit. See Figure 4.61 from Cleveland.
require(stats)
with(ethanol, {
eth.lo <- loess(NOx ~ C * E, span = 1/3, parametric = "C",
drop.square = "C", family="symmetric")
eth.marginal <- list(C = seq(min(C), max(C), length.out = 25),
E = seq(min(E), max(E), length.out = 25))
eth.grid <- expand.grid(eth.marginal)
eth.fit <- predict(eth.lo, eth.grid)
wireframe(eth.fit ~ eth.grid$C * eth.grid$E,
shade=TRUE,
screen = list(z = 40, x = -60, y=0),
distance = .1,
xlab = "C", ylab = "E", zlab = "NOx")
})
[Package lattice version 0.22-6 Index]