Plot GCMM activity curve posterior samples for visualizing estimate uncertatinty
plotGCMMsamples(
model,
sample = 100,
scale = "NULL",
ymax = "NULL",
plotmean = TRUE,
RGB = c(200, 200, 200),
alpha = 0.05,
axisunits = "radians",
lines = TRUE,
cex.axis = 0.8
)
Object of class GCMM
with output from GCMM
function
Number of posterior samples to plot; default=100
Scale for which to plot the activity curve, either "pi" for -pi, pi or "2pi" for 0, 2pi; default is that which is recommended by the GCMM function
Value to use as upper limit for y-axis
Logical argument for whether to plot activity curve from posterior distribution mean; default=TRUE
Vector of RBG values for line colour
Value for line transparency, between 0 (completely transparent) to 1 (completely opaque); default=0.05
Scale to use for the xaxis, either "radians", "time", "solar", "sun", or "non"; default="radians"
Whether to include lines on the graph for the x axis labels; default=TRUE
Font size for axis labels
No return value; prints plot of activity curve posterior samples