An example of a useful panel function for huge datasets
ipanel.smooth(x, y = NULL, pixs = 1, zmax = NULL,
ztransf = function(x) {x},
colramp = IDPcolorRamp, col = "black", lwd = 2,
span = 2/3, iter = 3, ...)
Numeric vectors of the same length.
Size of pixel in x- and y-direction in [mm] on the plotting device. When x and y are numeric, pixels are square. When x and y are factors, pixels are no longer square. The pixels are enlarged in x-direction.
Maximum number of counts per Pixel in the plot. When NULL, the density in the scatter plot is encoded from 0 pixel to maximum number of counts observed. zmax must be equal or larger than maximum number of counts found.
Function to transform the number of counts per pixel,
which will be mapped by the function in colramp to well
defined colors. The user has to make sure that the transformed
density lies in the range [0,zmax], where zmax is any positive
number (>=2). For examples see ipairs and
ilagplot.
Color ramp to encode the number of counts within a pixel by color.
Color and line width of the “smoothed curve”.
the smoother span. This gives the proportion of points in the plot which influence the smooth at each value. Larger values give more smoothness.
The number of robustifying iterations which should be performed. Using smaller values of iter will make lowess run faster.
Other graphical parameters as arguments to the
lines function.
Rene Locher
r.lm <- lm(Sepal.Length~Sepal.Width+Petal.Length+Petal.Width+Species,
data = iris)
par(mfrow = c(2,2), pty = "s")
itermplot(r.lm, se = TRUE, partial.res = TRUE, smooth = ipanel.smooth,
lwd.smth = 3, pixs = 2, ask = FALSE)
if (require(SwissAir)) {
par(mfrow = c(1,1))
dat <- log(AirQual[,c("ad.O3", "ad.WS")])
pairs(dat,
panel = ipanel.smooth)
} else print("Package SwissAir is not available")
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