plotweights {climwin} | R Documentation |
Create a plot showing the distribution of cumulative model weights for all fitted climate windows.
plotweights(
dataset,
cw1 = 0.95,
cw2 = 0.5,
cw3 = 0.25,
arrow = FALSE,
plotall = FALSE,
plotallenv,
ThreeD = FALSE
)
dataset |
A dataframe containing information on all fitted climate
windows. Output from |
cw1, cw2, cw3 |
Cumulative weight levels used to visualise model weight distribution. Cumulative weights represent the chance that the best model is contained within a set. For example, there is a 95 percent chance that the best climate window model is contained within the cumulative weight level of 0.95. Parameter values must <= 1. |
arrow |
TRUE or FALSE. Add arrows to plots to pinpoint best window. |
plotall |
Used in conjunction with function |
plotallenv |
Used in conjunction with function |
ThreeD |
TRUE or FALSE. Generate a 3-dimensional plot of the model weight landscape. |
Returns a plot showing the distribution of cumulative model weights. Levels determined by parameters cw1,cw2 and cw3.
Liam D. Bailey and Martijn van de Pol
# Plot distribution of model weights for Mass dataset
data(MassOutput)
plotweights(dataset = MassOutput, cw1 = 0.95, cw2 = 0.75, cw3 = 0.25)