"plot"(x, ..., col.key = rev(heat.colors(100)), cutoffs = NULL)
devresid
” object.
points
.
col.key
to the residuals in X
. cutoffs
should be a vector of length one more than the length of col.key
.
cutoffs
must be a vector of increasing values of the same length as col.key
plus 1. cutoffs
divides the residual values in x$residuals
into a number of intervals equal to the number of colors in col.key
. The colors are assigned to the intervals in order, e.g. the first color in col.key
will be plotted in the bins defined by the spatial grid in x$grid
that contains a residual that falls anywhere in the first interval (lower bound inclusive, upper bound exclusive).
Default col.key
is a vector of 100 heat
colors in reverse. Default cutoffs
is a vector of 101 equally spaced points that range from the minimum residual in x$residuals
, minus a very small number, to the maximum residual, plus a very small number.
devresid
, image
data(deviance)
plot(deviance)
hist(deviance$residuals)
cutoffs <- c(seq(-1.55, 2, length.out = 85), seq(2.01, 8.7, length.out = 16))
plot(deviance, cutoffs = cutoffs)
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