View source: R/plot_transition.R
plot_transition | R Documentation |
Plot the transition function
plot_transition(result = NULL, parameters = NULL, sizes = c(0, 40), ...)
result |
A result object |
parameters |
Set of parameters. If both result and parameters are indicated, parameters have priority. |
sizes |
The range of possible sizes |
... |
Parameters for plot() such as main= or ylim= |
plot_transition show fonction used for transition
Nothing
Marc Girondot
## Not run:
library(embryogrowth)
data(nest)
formated <- FormatNests(nest)
data(resultNest_4p_SSM)
# Get a set of parameters without transition
x1 <- resultNest_4p_SSM$par
# Generate a set of parameters with transition
x2 <- switch.transition(x1)
x2 <- x2[names(x2)!="transition_P"]
x2["transition_S"] <- 4
pfixed <- c(rK=2.093313, transition_P=20)
resultNest_4p_transition <- searchR(parameters=x2, fixed.parameters=pfixed,
temperatures=formated, integral=integral.Gompertz, M0=1.7,
hatchling.metric=c(Mean=39.33, SD=1.92))
data(resultNest_4p_transition)
# show the model for smallest size
plotR(resultNest_4p_transition, ylim=c(0,0.3))
# show the model for larger sizes
plotR(resultNest_4p_transition, set.par=2, ylim=c(0,0.3))
# plot model for both together
plotR(resultNest_4p_transition, set.par=c(1,2), ylim=c(0,0.3),
col=c("red", "black"), legend=list("Initial", "End"))
plot_transition(result=resultNest_4p_transition, las=1, sizes=c(0,40))
compare_AIC(one.model=list(resultNest_4p_SSM), two.models=list(resultNest_4p_transition))
# Note that the model with fitted transition_P is trivial. Embryos grow fast until
# they reach hatchling size and then growth rate becomes null!
## End(Not run)
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