View source: R/print.phenologyout.R
| print.phenologyout | R Documentation |
The function print.phenologyout displays the output of a summary(phenology).
## S3 method for class 'phenologyout'
print(x, ...)
x |
An output generated by plot_phenology |
... |
Not used |
print.phenologyout prints the information from a result x.
None
Marc Girondot
Other Phenology model:
AutoFitPhenology(),
BE_to_LBLE(),
Gratiot,
LBLE_to_BE(),
LBLE_to_L(),
L_to_LBLE(),
MarineTurtles_2002,
MinBMinE_to_Min(),
adapt_parameters(),
add_SE(),
add_phenology(),
extract_result(),
fit_phenology(),
likelihood_phenology(),
logLik.phenology(),
map_Gratiot,
map_phenology(),
par_init(),
phenology(),
phenology2fitRMU(),
phenology_MHmcmc(),
phenology_MHmcmc_p(),
plot.phenology(),
plot.phenologymap(),
plot_delta(),
plot_phi(),
print.phenology(),
print.phenologymap(),
remove_site(),
result_Gratiot,
result_Gratiot1,
result_Gratiot2,
result_Gratiot_Flat,
summary.phenology(),
summary.phenologymap(),
summary.phenologyout()
## Not run:
library(phenology)
# Read a file with data
data(Gratiot)
# Generate a formatted list nammed data_Gratiot
data_Gratiot<-add_phenology(Gratiot, name="Complete",
reference=as.Date("2001-01-01"), format="%d/%m/%Y")
# Generate initial points for the optimisation
parg<-par_init(data_Gratiot, fixed.parameters=NULL)
# Run the optimisation
result_Gratiot <- fit_phenology(data=data_Gratiot,
fitted.parameters=parg, fixed.parameters=NULL)
data(result_Gratiot)
# Plot the phenology and get some stats
output <- plot(result_Gratiot)
# Show the output
output
## End(Not run)
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