plotGCMMsamples {activityGCMM} | R Documentation |
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 )
model |
Object of class |
sample |
Number of posterior samples to plot; default=100 |
scale |
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 |
ymax |
Value to use as upper limit for y-axis |
plotmean |
Logical argument for whether to plot activity curve from posterior distribution mean; default=TRUE |
RGB |
Vector of RBG values for line colour |
alpha |
Value for line transparency, between 0 (completely transparent) to 1 (completely opaque); default=0.05 |
axisunits |
Scale to use for the xaxis, either "radians", "time", "solar", "sun", or "non"; default="radians" |
lines |
Whether to include lines on the graph for the x axis labels; default=TRUE |
cex.axis |
Font size for axis labels |
No return value; prints plot of activity curve posterior samples