Usage
vwReg(formula, data, title = "", B = 1000, shade = TRUE,
shade.alpha = 0.1, spag = FALSE, mweight = TRUE,
show.lm = FALSE, show.median = TRUE,
median.col = "white", show.CI = FALSE, method = loess,
bw = FALSE, slices = 200,
palette = colorRampPalette(c("#FFEDA0", "#DD0000"), bias = 2)(20),
ylim = NULL, quantize = "continuous", ...)Arguments
B
number bootstrapped smoothers
shade
plot the shaded confidence region?
shade.alpha
shade.alpha: should the CI shading
fade out at the edges? (by reducing alpha; 0 = no alpha
decrease, 0.1 = medium alpha decrease, 0.5 = strong alpha
decrease)
spag
plot spaghetti lines?
mweight
should the median smoother be visually
weighted?
show.lm
should the linear regresison line be
plotted?
show.median
show median smoother
show.CI
should the 95% CI limits be plotted?
method
the fitting function for the spaghettis;
default: loess
bw
define a default b/w-palette (TRUE/FALSE)
slices
number of slices in x and y direction for
the shaded region. Higher numbers make a smoother plot,
but takes longer to draw. I wouldn'T go beyond 500
palette
provide a custom color palette for the
watercolors
ylim
restrict range of the watercoloring
quantize
either "continuous", or "SD". In the
latter case, we get three color regions for 1, 2, and 3
SD (an idea of John Mashey)
...
further parameters passed to the fitting
function, in the case of loess, for example, "span = .9",
or "family = 'symmetric'" Returns: