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#' print.phenologyout prints the information from a result x.
#' @title Print the information from a ouput x.
#' @author Marc Girondot
#' @return None
#' @param x An output generated by plot_phenology
#' @param ... Not used
#' @description The function print.phenologyout displays the output of a summary(phenology).
#' @family Phenology model
#' @examples
#' \dontrun{
#' 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
#' }
#' @method print phenologyout
#' @export
print.phenologyout <- function(x, ...) {
object <- x
cat(paste("Number of timeseries: ", nrow(object$synthesis), "\n", sep=""))
for (i in 1:nrow(object$synthesis)) {
nmser <- object$synthesis[i, "series"]
tx <- paste0("Timeseries: ", nmser)
cat(paste0(rep("-", nchar(tx)), collapse=""), "\n")
cat(tx, "\n")
cat(paste0(rep("-", nchar(tx)), collapse=""), "\n")
cat("Total estimate not taking into account the observations: ")
cat(paste0("Mean=", object$synthesis[nmser, "without_obs_Mean"], "\n"))
cat("Total estimate taking into account the observations: ")
cat(paste0("Mean=", object$synthesis[nmser, "with_obs_Mean"], "\n"))
if (!is.na(object$synthesis[nmser, "without_obs_Median_ML"])) {
cat("Total estimate not taking into account the observations ML-based:\n")
cat(paste0("Low=", object$synthesis[nmser, "without_obs_Low_ML"],
" Median=", object$synthesis[nmser, "without_obs_Median_ML"],
" High=", object$synthesis[nmser, "without_obs_High_ML"], "\n"))
cat("Total estimate taking into account the observations ML-based:\n")
cat(paste0("Low=", object$synthesis[nmser, "with_obs_Low_ML"],
" Median=", object$synthesis[nmser, "with_obs_Median_ML"],
" High=", object$synthesis[nmser, "with_obs_High_ML"], "\n"))
}
if (!is.na(object$synthesis[nmser, "without_obs_Median_MCMC"])) {
cat("Total estimate not taking into account the observations MCMC-based:\n")
cat(paste0("Low=", object$synthesis[nmser, "without_obs_Low_MCMC"],
" Median=", object$synthesis[nmser, "without_obs_Median_MCMC"],
" High=", object$synthesis[nmser, "without_obs_High_MCMC"], "\n"))
cat("Total estimate taking into account the observations MCMC-based:\n")
cat(paste0("Low=", object$synthesis[nmser, "with_obs_Low_MCMC"],
" Median=", object$synthesis[nmser, "with_obs_Median_MCMC"],
" High=", object$synthesis[nmser, "with_obs_High_MCMC"], "\n"))
}
}
}
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