Usage
plot_diff2(model, view, comp, cond = NULL, color = "topo", nCol = 100,
col = NULL, add.color.legend = TRUE, plotCI = FALSE, f = 1.96,
n.grid = 30, nlevels = 10, zlim = NULL, xlim = NULL, ylim = NULL,
main = NULL, xlab = NULL, ylab = NULL, rm.ranef = NULL,
hide.label = FALSE, print.summary = getOption("itsadug_print"), ...)
Arguments
model
A GAMM model, resulting from the functions
gam
or bam
. view
Name of continuous predictors that should be plotted on the x-
and y-axes. Vector of two values.
comp
Named list with the grouping predictor (categorical variable)
and the 2 levels to calculate the difference for.
cond
Named list of the values to use for the other predictor terms
(not in view).
nCol
Range of colors of background of contour plot.
add.color.legend
Logical: whether or not to add a color legend.
Default is TRUE. If FALSE (omitted), one could use the function
gradientLegend
to add a legend manually at any position. plotCI
Logical: whether or not to plot confidence intervals.
f
A number to scale the standard error. Defaults to 1.96, resulting
in 95% confidence intervals. For 99% confidence intervals use a value of
2.58.
nlevels
Levels of contour lines.
zlim
A two item array giving the lower and upper limits for the z-
axis scale. NULL to choose automatically.
xlim
A two item array giving the lower and upper limits for the x-
axis scale. NULL to choose automatically.
ylim
A two item array giving the lower and upper limits for the y-
axis scale. NULL to choose automatically.
rm.ranef
Logical: whether or not to remove random effects.
Default is FALSE. Alternatively a string (or vector of strings) with the
name of the random effect(s) to remove.
hide.label
Logical: whether or not to hide the label
(i.e., "difference"). Default is FALSE.
print.summary
Logical: whether or not to print a summary.
Default set to the print info messages option
(see infoMessages
).