R/SAVE_FATE.step2_parameters.R
In MayaGueguen/RFate: Vegetation modelling with the FATE model
Defines functions
SAVE_FATE.step2_parameters
Documented in
SAVE_FATE.step2_parameters
### HEADER #####################################################################
##' @title Save data to reproduce building of parameter files
##'
##' @name SAVE_FATE.step2_parameters
##'
##' @author Maya Guéguen
##'
##' @description This script is designed to gather all data and parameters
##' used to build a \code{FATE} simulation folder.
##'
##' @param name.dataset a \code{string} corresponding to the name to give to
##' archive folder
##' @param name.simulation (\emph{optional}) default \code{NA}. \cr
##' A \code{string} corresponding to the name of the simulation folder
##' @param strata.limits a \code{vector} of \code{integer} containing height
##' strata limits
##' @param mat.PFG.succ a \code{data.frame} with at least 5 columns : \cr
##' \code{PFG}, \code{type}, \code{height}, \code{maturity}, \code{longevity}
##' \cr (\emph{and optionally, \code{max_abundance}, \code{potential_fecundity},
##' \code{immature_size}, \code{is_alien}, \code{flammability}})
##' \cr (see \code{\link{PRE_FATE.params_PFGsuccession}})
##' @param mat.PFG.light (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 2 to 6 columns : \cr
##' \itemize{
##' \item \code{PFG},
##' \item \code{type}, (\emph{or \code{active_germ_low},
##' \code{active_germ_medium}, \code{active_germ_high}}) (\emph{or
##' \code{strategy_ag}})
##' \item \emph{\code{type}, \code{light_need}}
##' }
##' (see \code{\link{PRE_FATE.params_PFGlight}})
##' @param mat.PFG.light.tol (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 2 to 4 columns : \cr
##' \itemize{
##' \item \code{PFG},
##' \item \code{lifeStage}, \code{resources}, \code{tolerance}
##' (\emph{or \code{strategy_tol}})
##' }
##' (see \code{\link{PRE_FATE.params_PFGlight}})
##' @param mat.PFG.soil (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 3 to 7 columns : \cr
##' \itemize{
##' \item \code{PFG},
##' \item \code{type}, (\emph{or \code{active_germ_low},
##' \code{active_germ_medium}, \code{active_germ_high}}) (\emph{or
##' \code{strategy_ag}})
##' \item \code{soil_contrib}, \code{soil_tol_min}, \code{soil_tol_max}
##' (\emph{or \code{strategy_contrib}})
##' }
##' (see \code{\link{PRE_FATE.params_PFGsoil}})
##' @param mat.PFG.soil.tol (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 2 to 4 columns : \cr
##' \itemize{
##' \item \code{PFG},
##' \item \code{lifeStage}, \code{resources}, \code{tolerance}
##' (\emph{or \code{strategy_tol}})
##' }
##' (see \code{\link{PRE_FATE.params_PFGsoil}})
##' @param mat.PFG.disp (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 4 columns : \code{PFG}, \code{d50}, \code{d99},
##' \code{ldd} (see \code{\link{PRE_FATE.params_PFGdispersal}})
##' @param mat.PFG.dist (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 5 columns : \cr
##' \code{PFG}, \code{type}, \code{maturity}, \code{longevity},
##' \code{age_above_150cm} (see \code{\link{PRE_FATE.params_PFGdisturbance}})
##' @param mat.PFG.dist.tol (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 3 to 7 columns : \cr
##' \itemize{
##' \item \code{nameDist},
##' \item \code{PFG},
##' \item (\emph{\code{responseStage}, \code{breakAge}, \code{resproutAge}}),
##' \item \code{responseStage}, \code{killedIndiv}, \code{resproutIndiv}
##' (\emph{or \code{strategy_tol}})
##' }
##' (see \code{\link{PRE_FATE.params_PFGdisturbance}})
##' @param mat.PFG.drought (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 4 or 6 columns : \cr
##' \itemize{
##' \item \code{PFG},
##' \item \code{threshold_moderate}, \code{threshold_severe},
##' \item \code{counter_recovery}, \code{counter_sens}, \code{counter_cum}
##' (\emph{or \code{strategy_drou}})
##' }
##' (see \code{\link{PRE_FATE.params_PFGdrought}})
##' @param mat.PFG.drought.tol (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 3 to 7 columns : \cr
##' \itemize{
##' \item \code{nameDist},
##' \item \code{PFG},
##' \item (\emph{\code{responseStage}, \code{breakAge}, \code{resproutAge}}),
##' \item \code{responseStage}, \code{killedIndiv}, \code{resproutIndiv}
##' (\emph{or \code{strategy_tol}})
##' }
##' (see \code{\link{PRE_FATE.params_PFGdrought}})
##' @param rasters a \code{list} containing all the rasters given to the
##' \code{\link{PRE_FATE.params_simulParameters}} function, if used
##' (\code{name.MASK}, \code{name.DIST}, \code{name.DROUGHT}, \code{name.FIRE},
##' \code{name.ELEVATION}, \code{name.SLOPE})
##' @param multipleSet a \code{list} containing all the parameter values given
##' to the \code{\link{PRE_FATE.params_multipleSet}} function, if used
##' (\code{name.simulation.1}, \code{name.simulation.2},
##' \code{file.simulParam.1}, \code{file.simulParam.2},
##' \code{no_simulations}, \code{opt.percent_maxAbund},
##' \code{opt.percent_seeding}, \code{opt.percent_light},
##' \code{opt.percent_soil}, \code{do.max_abund_low},
##' \code{do.max_abund_medium}, \code{do.max_abund_high},
##' \code{do.seeding_duration}, \code{do.seeding_timestep},
##' \code{do.seeding_input}, \code{do.no_strata},
##' \code{do.LIGHT.thresh_medium}, \code{do.LIGHT.thresh_low},
##' \code{do.SOIL.init}, \code{do.SOIL.retention},
##' \code{do.DISPERSAL.mode}, \code{do.HABSUIT.mode})
##'
##'
##'
##' @return A \code{list} containing all the elements given to the function and
##' checked, and two archive files :
##'
##' \describe{
##' \item{name.dataset}{name of the dataset}
##' \item{strata.limits}{height strata limits}
##' \item{mat.PFG.succ}{}
##' \item{(mat.PFG.light)}{}
##' \item{(mat.PFG.light.tol)}{}
##' \item{(mat.PFG.soil)}{}
##' \item{(mat.PFG.soil.tol)}{}
##' \item{(mat.PFG.disp)}{}
##' \item{(mat.PFG.dist)}{}
##' \item{(mat.PFG.dist.tol)}{}
##' \item{(mat.PFG.drought)}{}
##' \item{(mat.PFG.drought.tol)}{}
##' \item{rasters}{raster files of all simulation masks}
##' \item{(multipleSet)}{ \cr \cr}
##' \item{(name.simulation)}{name of the simulation folder}
##' \item{(\code{DATA} folder)}{contained in \code{name.simulation} folder
##' and archived}
##' \item{(\code{PARAM_SIMUL} folder)}{contained in \code{name.simulation}
##' folder and archived \cr \cr}
##' }
##'
##' The information is written in \file{FATE_dataset_[name.dataset]_step2_parameters.RData} file.
##'
##'
##' @seealso \code{\link{PRE_FATE.skeletonDirectory}},
##' \code{\link{PRE_FATE.params_PFGsuccession}},
##' \code{\link{PRE_FATE.params_PFGlight}},
##' \code{\link{PRE_FATE.params_PFGsoil}},
##' \code{\link{PRE_FATE.params_PFGdispersal}},
##' \code{\link{PRE_FATE.params_PFGdisturbance}},
##' \code{\link{PRE_FATE.params_PFGdrought}},
##' \code{\link{PRE_FATE.params_changingYears}},
##' \code{\link{PRE_FATE.params_savingYears}},
##' \code{\link{PRE_FATE.params_globalParameters}},
##' \code{\link{PRE_FATE.params_simulParameters}},
##' \code{\link{PRE_FATE.params_multipleSet}}
##'
##' @examples
##'
##' ## Load example data
##'
##' @export
##'
##' @importFrom utils zip
##'
## END OF HEADER ###############################################################
SAVE_FATE.step2_parameters = function(name.dataset
, name.simulation = NA
, strata.limits
, mat.PFG.succ
, mat.PFG.light = NA
, mat.PFG.light.tol = NA
, mat.PFG.soil = NA
, mat.PFG.soil.tol = NA
, mat.PFG.disp = NA
, mat.PFG.dist = NA
, mat.PFG.dist.tol = NA
, mat.PFG.drought = NA
, mat.PFG.drought.tol = NA
, rasters = list("name.MASK" = NA
, "name.DIST" = NA
, "name.DROUGHT" = NA
, "name.FIRE" = NA
, "name.ELEVATION" = NA
, "name.SLOPE" = NA)
, multipleSet = list("name.simulation.1" = NA
, "name.simulation.2" = NA
, "file.simulParam.1" = NA
, "file.simulParam.2" = NA
, "no_simulations" = NA
, "opt.percent_maxAbund" = NA
, "opt.percent_seeding" = NA
, "opt.percent_light" = NA
, "opt.percent_soil" = NA
, "do.max_abund_low" = NA
, "do.max_abund_medium" = NA
, "do.max_abund_high" = NA
, "do.seeding_duration" = NA
, "do.seeding_timestep" = NA
, "do.seeding_input" = NA
, "do.no_strata" = NA
, "do.LIGHT.thresh_medium" = NA
, "do.LIGHT.thresh_low" = NA
, "do.SOIL.init" = NA
, "do.SOIL.retention" = NA
, "do.DISPERSAL.mode" = NA
, "do.HABSUIT.mode" = NA)
){
#############################################################################
.testParam_notChar.m("name.dataset", name.dataset)
if (!is.na(name.simulation))
{
## CHECK parameter name.simulation
.testParam_existFolder(name.simulation, "DATA/")
.testParam_existFolder(name.simulation, "PARAM_SIMUL/")
## ARCHIVE folders
name.arch_data = paste0(paste0(unique(c(name.dataset, name.simulation)), collapse = "_"), "_DATA.zip")
name.arch_paramsimul = paste0(name.simulation, "_PARAM_SIMUL.zip")
zip(zipfile = name.arch_data, files = paste0(name.simulation, "DATA/"), flags = "-r")
zip(zipfile = name.arch_paramsimul, files = paste0(name.simulation, "PARAM_SIMUL/"), flags = "-r")
}
## CHECK parameter strata.limits
strata.limits = sort(unique(na.exclude(strata.limits)))
.testParam_notInteger.m("strata.limits", strata.limits)
## CHECK parameter mat.PFG.succ
if (.testParam_notDf(mat.PFG.succ))
{
.stopMessage_beDataframe("mat.PFG.succ")
} else
{
if (nrow(mat.PFG.succ) == 0 || !(ncol(mat.PFG.succ) %in% c(5, 6, 7, 8, 9, 10)))
{
.stopMessage_numRowCol("mat.PFG.succ", c("PFG", "type","height", "maturity", "longevity"
, "(max_abundance)", "(potential_fecundity)"
, "(immature_size)", "(is_alien)", "(flammability)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.succ))
, "5" = .testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity", "longevity"))
, "6" = (.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "potential_fecundity")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "immature_size")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "flammability")))
, "7" = (.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "potential_fecundity")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "immature_size")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "flammability")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "potential_fecundity"
, "immature_size")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "potential_fecundity"
, "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "potential_fecundity"
, "flammability")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "immature_size"
, "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "immature_size"
, "flammability")))
, "8" = (.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "potential_fecundity", "immature_size")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "potential_fecundity", "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "potential_fecundity", "flammability")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "immature_size", "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "immature_size", "flammability")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "potential_fecundity"
, "potential_fecundity", "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "potential_fecundity"
, "potential_fecundity", "flammability")))
, "9" = (.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity", "longevity"
, "max_abundance", "potential_fecundity"
, "immature_size", "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity", "longevity"
, "max_abundance", "potential_fecundity"
, "immature_size", "flammability")))
, "10" = .testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity", "longevity"
, "max_abundance", "potential_fecundity"
, "immature_size", "is_alien", "flammability"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.succ", c("PFG", "type","height", "maturity", "longevity"
, "(max_abundance)", "(potential_fecundity)"
, "(immature_size)", "(is_alien)", "(flammability)"))
}
}
mat.PFG.succ$PFG = as.character(mat.PFG.succ$PFG)
.testParam_samevalues.m("mat.PFG.succ$PFG", mat.PFG.succ$PFG)
.testParam_notChar.m("mat.PFG.succ$PFG", mat.PFG.succ$PFG)
mat.PFG.succ$type = as.character(mat.PFG.succ$type)
.testParam_notInValues.m("mat.PFG.succ$type", mat.PFG.succ$type, c("H", "C", "P"))
.testParam_notNum.m("mat.PFG.succ$height", mat.PFG.succ$height)
.testParam_NAvalues.m("mat.PFG.succ$height", mat.PFG.succ$height)
.testParam_notNum.m("mat.PFG.succ$maturity", mat.PFG.succ$maturity)
.testParam_NAvalues.m("mat.PFG.succ$maturity", mat.PFG.succ$maturity)
.testParam_notNum.m("mat.PFG.succ$longevity", mat.PFG.succ$longevity)
.testParam_NAvalues.m("mat.PFG.succ$longevity", mat.PFG.succ$longevity)
if (sum(mat.PFG.succ$maturity > mat.PFG.succ$longevity) > 0){
stop(paste0("Wrong type of data!\n `mat.PFG.succ$maturity` must contain "
, "values equal or inferior to `mat.PFG.succ$longevity`"))
}
if (sum(colnames(mat.PFG.succ) == "max_abundance") == 1)
{
.testParam_NAvalues.m("mat.PFG.succ$max_abundance", mat.PFG.succ$max_abundance)
.testParam_notInValues.m("mat.PFG.succ$max_abundance", mat.PFG.succ$max_abundance, 1:3)
}
if (sum(colnames(mat.PFG.succ) == "potential_fecundity") == 1)
{
.testParam_notNum.m("mat.PFG.succ$potential_fecundity", mat.PFG.succ$potential_fecundity)
.testParam_NAvalues.m("mat.PFG.succ$potential_fecundity", mat.PFG.succ$potential_fecundity)
}
if (sum(colnames(mat.PFG.succ) == "immature_size") == 1)
{
.testParam_NAvalues.m("mat.PFG.succ$immature_size", mat.PFG.succ$immature_size)
.testParam_notInValues.m("mat.PFG.succ$immature_size", mat.PFG.succ$immature_size, 0:10)
}
if (sum(colnames(mat.PFG.succ) == "is_alien") == 1)
{
.testParam_NAvalues.m("mat.PFG.succ$is_alien", mat.PFG.succ$is_alien)
.testParam_notInValues.m("mat.PFG.succ$is_alien", mat.PFG.succ$is_alien, 0:1)
}
if (sum(colnames(mat.PFG.succ) == "flammability") == 1)
{
.testParam_notNum.m("mat.PFG.succ$flammability", mat.PFG.succ$flammability)
.testParam_NAvalues.m("mat.PFG.succ$flammability", mat.PFG.succ$flammability)
}
}
## CHECK parameter mat.PFG.light
if (.testParam_notDf(mat.PFG.light))
{
.stopMessage_beDataframe("mat.PFG.light")
} else
{
if (nrow(mat.PFG.light) == 0 || !(ncol(mat.PFG.light) %in% c(2, 3, 4, 6)))
{
.stopMessage_numRowCol("mat.PFG.light", c("PFG", "type", "(active_germ_low)", "(active_germ_medium)"
, "(active_germ_high)", "(strategy_ag)", "(light_need)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.light))
, "2" = (.testParam_notColnames(mat.PFG.light, c("PFG", "type")) &&
.testParam_notColnames(mat.PFG.light, c("PFG", "strategy_ag")))
, "3" = .testParam_notColnames(mat.PFG.light, c("PFG", "type", "light_need"))
, "4" = (.testParam_notColnames(mat.PFG.light, c("PFG", "active_germ_low"
, "active_germ_medium"
, "active_germ_high")) &&
.testParam_notColnames(mat.PFG.light, c("PFG", "strategy_ag"
, "type", "light_need")))
, "6" = .testParam_notColnames(mat.PFG.light, c("PFG", "active_germ_low"
, "active_germ_medium"
, "active_germ_high"
, "type", "light_need"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.light", c("PFG", "type", "(active_germ_low)", "(active_germ_medium)"
, "(active_germ_high)", "(strategy_ag)", "(light_need)"))
}
}
mat.PFG.light$PFG = as.character(mat.PFG.light$PFG)
.testParam_samevalues.m("mat.PFG.light$PFG", mat.PFG.light$PFG)
.testParam_notChar.m("mat.PFG.light$PFG", mat.PFG.light$PFG)
if (sum(colnames(mat.PFG.light) == "type") == 1)
{
mat.PFG.light$type = as.character(mat.PFG.light$type)
.testParam_notInValues.m("mat.PFG.light$type", mat.PFG.light$type, c("H", "C", "P"))
}
if (sum(colnames(mat.PFG.light) == "light_need") == 1)
{
.testParam_NAvalues.m("mat.PFG.light$light_need", mat.PFG.light$light_need)
.testParam_notInValues.m("mat.PFG.light$light_need", mat.PFG.light$light_need, 0:5)
}
if (sum(colnames(mat.PFG.light) == "active_germ_low") == 1)
{
.testParam_NAvalues.m("mat.PFG.light$active_germ_low", mat.PFG.light$active_germ_low)
.testParam_notInValues.m("mat.PFG.light$active_germ_low", mat.PFG.light$active_germ_low, 0:10)
.testParam_NAvalues.m("mat.PFG.light$active_germ_medium", mat.PFG.light$active_germ_medium)
.testParam_notInValues.m("mat.PFG.light$active_germ_medium", mat.PFG.light$active_germ_medium, 0:10)
.testParam_NAvalues.m("mat.PFG.light$active_germ_high", mat.PFG.light$active_germ_high)
.testParam_notInValues.m("mat.PFG.light$active_germ_high", mat.PFG.light$active_germ_high, 0:10)
}
if (sum(colnames(mat.PFG.light) == "strategy_ag") == 1)
{
mat.PFG.light$strategy_ag = as.character(mat.PFG.light$strategy_ag)
.testParam_notInValues.m("mat.PFG.light$strategy_ag", mat.PFG.light$strategy_ag
, c("light_lover", "indifferent", "shade_lover"))
}
}
## CHECK parameter mat.PFG.light.tol
if (!is.null(mat.PFG.light.tol))
{
if (.testParam_notDf(mat.PFG.light.tol))
{
.stopMessage_beDataframe("mat.PFG.light.tol")
} else
{
if (nrow(mat.PFG.light.tol) == 0 || !(ncol(mat.PFG.light.tol) %in% c(2, 4)))
{
.stopMessage_numRowCol("mat.PFG.light.tol", c("PFG", "lifeStage", "resources", "tolerance", "(strategy_tol)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.light.tol))
, "2" = .testParam_notColnames(mat.PFG.light.tol, c("PFG", "strategy_tol"))
, "4" = .testParam_notColnames(mat.PFG.light.tol, c("PFG", "lifeStage", "resources", "tolerance"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.light.tol", c("PFG", "lifeStage", "resources", "tolerance", "(strategy_tol)"))
}
}
mat.PFG.light.tol$PFG = as.character(mat.PFG.light.tol$PFG)
.testParam_notChar.m("mat.PFG.light.tol$PFG", mat.PFG.light.tol$PFG)
if (sum(colnames(mat.PFG.light.tol) == "lifeStage") == 1)
{
.testParam_notInValues.m("mat.PFG.light.tol$lifeStage", mat.PFG.light.tol$lifeStage, c("Germinant", "Immature", "Mature"))
.testParam_notInValues.m("mat.PFG.light.tol$resources", mat.PFG.light.tol$resources, c("Low", "Medium", "High"))
.testParam_NAvalues.m("mat.PFG.light.tol$tolerance", mat.PFG.light.tol$tolerance)
.testParam_notInValues.m("mat.PFG.light.tol$tolerance", mat.PFG.light.tol$tolerance, 0:10)
}
if (sum(colnames(mat.PFG.light.tol) == "strategy_tol") == 1)
{
mat.PFG.light.tol$strategy_tol = as.character(mat.PFG.light.tol$strategy_tol)
.testParam_notInValues.m("mat.PFG.light.tol$strategy_tol", mat.PFG.light.tol$strategy_tol
, c("full_light", "pioneer", "ubiquist", "semi_shade", "undergrowth"))
}
}
}
## CHECK parameter mat.PFG.soil
if (.testParam_notDf(mat.PFG.soil))
{
.stopMessage_beDataframe("mat.PFG.soil")
} else
{
if (nrow(mat.PFG.soil) == 0 || !(ncol(mat.PFG.soil) %in% c(3, 5, 7)))
{
.stopMessage_numRowCol("mat.PFG.soil", c("PFG", "type", "(active_germ_low)", "(active_germ_medium)"
, "(active_germ_high)", "(strategy_ag)", "soil_contrib"
, "soil_tol_min", "soil_tol_max", "(strategy_contrib)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.soil))
, "3" = (.testParam_notColnames(mat.PFG.soil, c("PFG", "type", "strategy_contrib")) &&
.testParam_notColnames(mat.PFG.soil, c("PFG", "strategy_ag", "strategy_contrib")))
, "5" = (.testParam_notColnames(mat.PFG.soil, c("PFG", "type", "soil_contrib"
, "soil_tol_min", "soil_tol_max")) &&
.testParam_notColnames(mat.PFG.soil, c("PFG", "active_germ_low"
, "active_germ_medium"
, "active_germ_high"
, "strategy_contrib")) &&
.testParam_notColnames(mat.PFG.soil, c("PFG", "strategy_ag", "soil_contrib"
, "soil_tol_min", "soil_tol_max")))
, "7" = .testParam_notColnames(mat.PFG.soil, c("PFG", "active_germ_low"
, "active_germ_medium"
, "active_germ_high", "soil_contrib"
, "soil_tol_min", "soil_tol_max"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.soil", c("PFG", "type", "(active_germ_low)", "(active_germ_medium)"
, "(active_germ_high)", "(strategy_ag)", "soil_contrib"
, "soil_tol_min", "soil_tol_max", "(strategy_contrib)"))
}
}
mat.PFG.soil$PFG = as.character(mat.PFG.soil$PFG)
.testParam_samevalues.m("mat.PFG.soil$PFG", mat.PFG.soil$PFG)
.testParam_notChar.m("mat.PFG.soil$PFG", mat.PFG.soil$PFG)
if (sum(colnames(mat.PFG.soil) == "type") == 1)
{
mat.PFG.soil$type = as.character(mat.PFG.soil$type)
.testParam_notInValues.m("mat.PFG.soil$type", mat.PFG.soil$type, c("H", "C", "P"))
}
if (sum(colnames(mat.PFG.soil) == "active_germ_low") == 1)
{
.testParam_NAvalues.m("mat.PFG.soil$active_germ_low", mat.PFG.soil$active_germ_low)
.testParam_notInValues.m("mat.PFG.soil$active_germ_low", mat.PFG.soil$active_germ_low, 0:10)
.testParam_NAvalues.m("mat.PFG.soil$active_germ_medium", mat.PFG.soil$active_germ_medium)
.testParam_notInValues.m("mat.PFG.soil$active_germ_medium", mat.PFG.soil$active_germ_medium, 0:10)
.testParam_NAvalues.m("mat.PFG.soil$active_germ_high", mat.PFG.soil$active_germ_high)
.testParam_notInValues.m("mat.PFG.soil$active_germ_high", mat.PFG.soil$active_germ_high, 0:10)
}
if (sum(colnames(mat.PFG.soil) == "strategy_ag") == 1)
{
mat.PFG.soil$strategy_ag = as.character(mat.PFG.soil$strategy_ag)
.testParam_notInValues.m("mat.PFG.soil$strategy_ag", mat.PFG.soil$strategy_ag
, c("poor_lover", "indifferent", "rich_lover"))
}
if (sum(colnames(mat.PFG.soil) == "soil_contrib") == 1)
{
.testParam_notNum.m("mat.PFG.soil$soil_contrib", mat.PFG.soil$soil_contrib)
.testParam_NAvalues.m("mat.PFG.soil$soil_contrib", mat.PFG.soil$soil_contrib)
.testParam_notNum.m("mat.PFG.soil$soil_tol_min", mat.PFG.soil$soil_tol_min)
.testParam_NAvalues.m("mat.PFG.soil$soil_tol_min", mat.PFG.soil$soil_tol_min)
.testParam_notNum.m("mat.PFG.soil$soil_tol_max", mat.PFG.soil$soil_tol_max)
.testParam_NAvalues.m("mat.PFG.soil$soil_tol_max", mat.PFG.soil$soil_tol_max)
if (sum(mat.PFG.soil$soil_tol_min > mat.PFG.soil$soil_contrib) > 0){
stop(paste0("Wrong type of data!\n `mat.PFG.soil$soil_tol_min` must contain "
, "values equal or inferior to `mat.PFG.soil$soil_contrib`"))
}
if (sum(mat.PFG.soil$soil_tol_max < mat.PFG.soil$soil_contrib) > 0){
stop(paste0("Wrong type of data!\n `mat.PFG.soil$soil_tol_max` must contain "
, "values equal or superior to `mat.PFG.soil$soil_contrib`"))
}
}
if (sum(colnames(mat.PFG.soil) == "strategy_contrib") == 1)
{
mat.PFG.soil$strategy_contrib = as.character(mat.PFG.soil$strategy_contrib)
.testParam_notInValues.m("mat.PFG.soil$strategy_contrib", mat.PFG.soil$strategy_contrib
, c("full_light", "pioneer", "ubiquist", "semi_shade", "undergrowth"))
}
}
## CHECK parameter mat.PFG.soil.tol
if (!is.null(mat.PFG.soil.tol))
{
if (.testParam_notDf(mat.PFG.soil.tol))
{
.stopMessage_beDataframe("mat.PFG.soil.tol")
} else
{
if (nrow(mat.PFG.soil.tol) == 0 || !(ncol(mat.PFG.soil.tol) %in% c(2, 4)))
{
.stopMessage_numRowCol("mat.PFG.soil.tol", c("PFG", "lifeStage", "resources", "tolerance", "(strategy_tol)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.soil.tol))
, "2" = .testParam_notColnames(mat.PFG.soil.tol, c("PFG", "strategy_tol"))
, "4" = .testParam_notColnames(mat.PFG.soil.tol, c("PFG", "lifeStage", "resources", "tolerance"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.soil.tol", c("PFG", "lifeStage", "resources", "tolerance", "(strategy_tol)"))
}
}
mat.PFG.soil.tol$PFG = as.character(mat.PFG.soil.tol$PFG)
.testParam_notChar.m("mat.PFG.soil.tol$PFG", mat.PFG.soil.tol$PFG)
if (sum(colnames(mat.PFG.soil.tol) == "lifeStage") == 1)
{
.testParam_notInValues.m("mat.PFG.soil.tol$lifeStage", mat.PFG.soil.tol$lifeStage, c("Germinant", "Immature", "Mature"))
.testParam_notInValues.m("mat.PFG.soil.tol$resources", mat.PFG.soil.tol$resources, c("Low", "Medium", "High"))
.testParam_NAvalues.m("mat.PFG.soil.tol$tolerance", mat.PFG.soil.tol$tolerance)
.testParam_notInValues.m("mat.PFG.soil.tol$tolerance", mat.PFG.soil.tol$tolerance, 0:10)
}
if (sum(colnames(mat.PFG.soil.tol) == "strategy_tol") == 1)
{
mat.PFG.soil.tol$strategy_tol = as.character(mat.PFG.soil.tol$strategy_tol)
.testParam_notInValues.m("mat.PFG.soil.tol$strategy_tol", mat.PFG.soil.tol$strategy_tol
, c("full_light", "pioneer", "ubiquist", "semi_shade", "undergrowth"))
}
}
}
## CHECK parameter mat.PFG.disp
if (.testParam_notDf(mat.PFG.disp))
{
.stopMessage_beDataframe("mat.PFG.disp")
} else
{
if (nrow(mat.PFG.disp) == 0 || ncol(mat.PFG.disp) != 4)
{
.stopMessage_numRowCol("mat.PFG.disp", c("PFG", "d50", "d99", "ldd"))
} else if (.testParam_notColnames(mat.PFG.disp, c("PFG", "d50", "d99", "ldd")))
{
.stopMessage_columnNames("mat.PFG.disp", c("PFG", "d50", "d99", "ldd"))
}
mat.PFG.disp$PFG = as.character(mat.PFG.disp$PFG)
.testParam_samevalues.m("mat.PFG.disp$PFG", mat.PFG.disp$PFG)
.testParam_notChar.m("mat.PFG.disp$PFG", mat.PFG.disp$PFG)
.testParam_notNum.m("mat.PFG.disp$d50", mat.PFG.disp$d50)
.testParam_NAvalues.m("mat.PFG.disp$d50", mat.PFG.disp$d50)
.testParam_notNum.m("mat.PFG.disp$d99", mat.PFG.disp$d99)
.testParam_NAvalues.m("mat.PFG.disp$d99", mat.PFG.disp$d99)
.testParam_notNum.m("mat.PFG.disp$ldd", mat.PFG.disp$ldd)
.testParam_NAvalues.m("mat.PFG.disp$ldd", mat.PFG.disp$ldd)
}
## CHECK parameter mat.PFG.dist
if (!is.null(mat.PFG.dist))
{
if (.testParam_notDf(mat.PFG.dist))
{
.stopMessage_beDataframe("mat.PFG.dist")
} else
{
if (nrow(mat.PFG.dist) == 0 || ncol(mat.PFG.dist) != 5)
{
.stopMessage_numRowCol("mat.PFG.dist", c("PFG", "type", "maturity", "longevity", "age_above_150cm"))
} else if (.testParam_notColnames(mat.PFG.dist, c("PFG", "type", "maturity", "longevity", "age_above_150cm")))
{
.stopMessage_columnNames("mat.PFG.dist", c("PFG", "type", "maturity", "longevity", "age_above_150cm"))
}
mat.PFG.dist$PFG = as.character(mat.PFG.dist$PFG)
.testParam_samevalues.m("mat.PFG.dist$PFG", mat.PFG.dist$PFG)
.testParam_notChar.m("mat.PFG.dist$PFG", mat.PFG.dist$PFG)
mat.PFG.dist$type = as.character(mat.PFG.dist$type)
.testParam_notInValues.m("mat.PFG.dist$type", mat.PFG.dist$type, c("H", "C", "P"))
.testParam_notNum.m("mat.PFG.dist$maturity", mat.PFG.dist$maturity)
.testParam_NAvalues.m("mat.PFG.dist$maturity", mat.PFG.dist$maturity)
.testParam_notNum.m("mat.PFG.dist$longevity", mat.PFG.dist$longevity)
.testParam_NAvalues.m("mat.PFG.dist$longevity", mat.PFG.dist$longevity)
.testParam_notNum.m("mat.PFG.dist$age_above_150cm", mat.PFG.dist$age_above_150cm)
.testParam_NAvalues.m("mat.PFG.dist$age_above_150cm", mat.PFG.dist$age_above_150cm)
if (sum(mat.PFG.dist$maturity > mat.PFG.dist$longevity) > 0){
stop(paste0("Wrong type of data!\n `mat.PFG.dist$maturity` must contain "
, "values equal or inferior to `mat.PFG.dist$longevity`"))
}
mat.PFG.dist$longevity = mat.PFG.dist$longevity - 1
}
}
## CHECK parameter mat.PFG.dist.tol
if (.testParam_notDf(mat.PFG.dist.tol))
{
.stopMessage_beDataframe("mat.PFG.dist.tol")
} else
{
if (nrow(mat.PFG.dist.tol) == 0 || !(ncol(mat.PFG.dist.tol) %in% c(3, 5, 6, 7)))
{
.stopMessage_numRowCol("mat.PFG.dist.tol", c("nameDist", "PFG", "responseStage", "(breakAge)", "(resproutAge)"
, "killedIndiv", "resproutIndiv", "(strategy_tol)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.dist.tol))
, "3" = .testParam_notColnames(mat.PFG.dist.tol, c("nameDist", "PFG", "strategy_tol"))
, "5" = .testParam_notColnames(mat.PFG.dist.tol, c("nameDist", "PFG", "responseStage"
, "killedIndiv", "resproutIndiv"))
, "6" = .testParam_notColnames(mat.PFG.dist.tol, c("nameDist", "PFG", "responseStage"
, "breakAge", "resproutAge"
, "strategy_tol"))
, "7" = .testParam_notColnames(mat.PFG.dist.tol, c("nameDist", "PFG", "responseStage"
, "breakAge", "resproutAge"
, "killedIndiv", "resproutIndiv"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.dist.tol", c("nameDist", "PFG", "responseStage", "(breakAge)", "(resproutAge)"
, "killedIndiv", "resproutIndiv", "(strategy_tol)"))
}
}
mat.PFG.dist.tol$nameDist = as.character(mat.PFG.dist.tol$nameDist)
.testParam_notChar.m("mat.PFG.dist.tol$nameDist", mat.PFG.dist.tol$nameDist)
mat.PFG.dist.tol$PFG = as.character(mat.PFG.dist.tol$PFG)
.testParam_notChar.m("mat.PFG.dist.tol$PFG", mat.PFG.dist.tol$PFG)
if (!is.null(mat.PFG.dist))
{
.testParam_notInValues.m("mat.PFG.dist.tol$PFG", mat.PFG.dist.tol$PFG, c("H", "C", "P", mat.PFG.dist$PFG))
}
if (sum(colnames(mat.PFG.dist.tol) == "responseStage") == 1)
{
.testParam_NAvalues.m("mat.PFG.dist.tol$responseStage", mat.PFG.dist.tol$responseStage)
.testParam_notInValues.m("mat.PFG.dist.tol$responseStage", mat.PFG.dist.tol$responseStage, 0:10)
if (sum(colnames(mat.PFG.dist.tol) == "breakAge") == 1)
{
.testParam_notNum.m("mat.PFG.dist.tol$breakAge", mat.PFG.dist.tol$breakAge)
.testParam_NAvalues.m("mat.PFG.dist.tol$breakAge", mat.PFG.dist.tol$breakAge)
.testParam_notNum.m("mat.PFG.dist.tol$resproutAge", mat.PFG.dist.tol$resproutAge)
.testParam_NAvalues.m("mat.PFG.dist.tol$resproutAge", mat.PFG.dist.tol$resproutAge)
}
if (sum(colnames(mat.PFG.dist.tol) == "killedIndiv") == 1)
{
.testParam_NAvalues.m("mat.PFG.dist.tol$killedIndiv", mat.PFG.dist.tol$killedIndiv)
.testParam_notInValues.m("mat.PFG.dist.tol$killedIndiv", mat.PFG.dist.tol$killedIndiv, 0:10)
.testParam_NAvalues.m("mat.PFG.dist.tol$resproutIndiv", mat.PFG.dist.tol$resproutIndiv)
.testParam_notInValues.m("mat.PFG.dist.tol$resproutIndiv", mat.PFG.dist.tol$resproutIndiv, 0:10)
}
}
if (sum(colnames(mat.PFG.dist.tol) == "strategy_tol") == 1)
{
mat.PFG.dist.tol$strategy_tol = as.character(mat.PFG.dist.tol$strategy_tol)
.testParam_notInValues.m("mat.PFG.dist.tol$strategy_tol", mat.PFG.dist.tol$strategy_tol
, c("indifferent", "mowing_herbs", "mowing_trees"
, "grazing_herbs_1", "grazing_herbs_2", "grazing_herbs_3"
, "grazing_trees_1", "grazing_trees_2", "grazing_trees_3"))
}
}
## CHECK parameter mat.PFG.drought
if (.testParam_notDf(mat.PFG.drought))
{
.stopMessage_beDataframe("mat.PFG.drought")
} else
{
if (nrow(mat.PFG.drought) == 0 || !(ncol(mat.PFG.drought) %in% c(4, 6)))
{
.stopMessage_numRowCol("mat.PFG.drought", c("PFG", "threshold_moderate"
, "threshold_severe", "counter_recovery"
, "counter_sens", "counter_cum"
, "(strategy_drou)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.drought))
, "4" = .testParam_notColnames(mat.PFG.drought
, c("PFG", "threshold_moderate"
, "threshold_severe","strategy_drou"))
, "6" = .testParam_notColnames(mat.PFG.drought
, c("PFG", "threshold_moderate"
, "threshold_severe", "counter_recovery"
, "counter_sens", "counter_cum"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.drought", c("PFG", "threshold_moderate"
, "threshold_severe", "counter_recovery"
, "counter_sens", "counter_cum"
, "(strategy_drou)"))
}
}
mat.PFG.drought$PFG = as.character(mat.PFG.drought$PFG)
.testParam_notChar.m("mat.PFG.drought$PFG", mat.PFG.drought$PFG)
.testParam_notNum.m("mat.PFG.drought$threshold_moderate", mat.PFG.drought$threshold_moderate)
.testParam_NAvalues.m("mat.PFG.drought$threshold_moderate", mat.PFG.drought$threshold_moderate)
.testParam_notNum.m("mat.PFG.drought$threshold_severe", mat.PFG.drought$threshold_severe)
.testParam_NAvalues.m("mat.PFG.drought$threshold_severe", mat.PFG.drought$threshold_severe)
if (sum(mat.PFG.drought$threshold_severe > mat.PFG.drought$threshold_moderate) > 0){
stop(paste0("Wrong type of data!\n `mat.PFG.drought$threshold_severe` must contain "
, "values equal or inferior to `mat.PFG.drought$threshold_moderate`"))
}
if (ncol(mat.PFG.drought) == 6)
{
.testParam_NAvalues.m("mat.PFG.drought$counter_recovery", mat.PFG.drought$counter_recovery)
.testParam_notInteger.m("mat.PFG.drought$counter_recovery", mat.PFG.drought$counter_recovery)
.testParam_NAvalues.m("mat.PFG.drought$counter_sens", mat.PFG.drought$counter_sens)
.testParam_notInteger.m("mat.PFG.drought$counter_sens", mat.PFG.drought$counter_sens)
.testParam_NAvalues.m("mat.PFG.drought$counter_cum", mat.PFG.drought$counter_cum)
.testParam_notInteger.m("mat.PFG.drought$counter_cum", mat.PFG.drought$counter_cum)
if (sum(mat.PFG.drought$counter_sens > mat.PFG.drought$counter_cum) > 0){
stop(paste0("Wrong type of data!\n `mat.PFG.drought$counter_sens` must contain "
, "values equal or inferior to `mat.PFG.drought$counter_cum`"))
}
}
if (sum(colnames(mat.PFG.drought) == "strategy_drou") == 1)
{
mat.PFG.drought$strategy_drou = as.character(mat.PFG.drought$strategy_drou)
.testParam_notInValues.m("mat.PFG.drought$strategy_drou", mat.PFG.drought$strategy_drou
, c("herbs", "chamaephytes", "trees_shrubs"))
}
}
## CHECK parameter mat.PFG.drought.tol
if (.testParam_notDf(mat.PFG.drought.tol))
{
.stopMessage_beDataframe("mat.PFG.drought.tol")
} else
{
if (nrow(mat.PFG.drought.tol) == 0 || !(ncol(mat.PFG.drought.tol) %in% c(3, 5, 6, 7)))
{
.stopMessage_numRowCol("mat.PFG.drought.tol", c("nameDist", "PFG", "responseStage", "(breakAge)", "(resproutAge)"
, "killedIndiv", "resproutIndiv", "(strategy_tol)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.drought.tol))
, "3" = .testParam_notColnames(mat.PFG.drought.tol, c("nameDist", "PFG", "strategy_tol"))
, "5" = .testParam_notColnames(mat.PFG.drought.tol, c("nameDist", "PFG", "responseStage"
, "killedIndiv", "resproutIndiv"))
, "6" = .testParam_notColnames(mat.PFG.drought.tol, c("nameDist", "PFG", "responseStage"
, "breakAge", "resproutAge"
, "strategy_tol"))
, "7" = .testParam_notColnames(mat.PFG.drought.tol, c("nameDist", "PFG", "responseStage"
, "breakAge", "resproutAge"
, "killedIndiv", "resproutIndiv"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.drought.tol", c("nameDist", "PFG", "responseStage", "(breakAge)", "(resproutAge)"
, "killedIndiv", "resproutIndiv", "(strategy_tol)"))
}
}
mat.PFG.drought.tol$nameDist = as.character(mat.PFG.drought.tol$nameDist)
.testParam_notInValues.m("mat.PFG.drought.tol$nameDist", mat.PFG.drought.tol$nameDist, c("immediate", "delayed"))
mat.PFG.drought.tol$PFG = as.character(mat.PFG.drought.tol$PFG)
.testParam_notChar.m("mat.PFG.drought.tol$PFG", mat.PFG.drought.tol$PFG)
if (!is.null(mat.PFG.dist))
{
.testParam_notInValues.m("mat.PFG.drought.tol$PFG", mat.PFG.drought.tol$PFG, c("H", "C", "P", mat.PFG.dist$PFG))
}
if (sum(colnames(mat.PFG.drought.tol) == "responseStage") == 1)
{
.testParam_NAvalues.m("mat.PFG.drought.tol$responseStage", mat.PFG.drought.tol$responseStage)
.testParam_notInValues.m("mat.PFG.drought.tol$responseStage", mat.PFG.drought.tol$responseStage, 0:10)
if (sum(colnames(mat.PFG.drought.tol) == "breakAge") == 1)
{
.testParam_notNum.m("mat.PFG.drought.tol$breakAge", mat.PFG.drought.tol$breakAge)
.testParam_NAvalues.m("mat.PFG.drought.tol$breakAge", mat.PFG.drought.tol$breakAge)
.testParam_notNum.m("mat.PFG.drought.tol$resproutAge", mat.PFG.drought.tol$resproutAge)
.testParam_NAvalues.m("mat.PFG.drought.tol$resproutAge", mat.PFG.drought.tol$resproutAge)
}
if (sum(colnames(mat.PFG.drought.tol) == "killedIndiv") == 1)
{
.testParam_NAvalues.m("mat.PFG.drought.tol$killedIndiv", mat.PFG.drought.tol$killedIndiv)
.testParam_notInValues.m("mat.PFG.drought.tol$killedIndiv", mat.PFG.drought.tol$killedIndiv, 0:10)
.testParam_NAvalues.m("mat.PFG.drought.tol$resproutIndiv", mat.PFG.drought.tol$resproutIndiv)
.testParam_notInValues.m("mat.PFG.drought.tol$resproutIndiv", mat.PFG.drought.tol$resproutIndiv, 0:10)
}
}
if (sum(colnames(mat.PFG.drought.tol) == "strategy_tol") == 1)
{
mat.PFG.drought.tol$strategy_tol = as.character(mat.PFG.drought.tol$strategy_tol)
.testParam_notInValues.m("mat.PFG.drought.tol$strategy_tol", mat.PFG.drought.tol$strategy_tol
, c("herbs_cham_1", "herbs_cham_2", "herbs_cham_3"
, "trees_1", "trees_2", "trees_3"))
}
}
## CHECK parameter rasters
names.rasters = c("name.MASK", "name.DIST", "name.DROUGHT", "name.FIRE", "name.ELEVATION", "name.SLOPE")
.testParam_notInValues.m(names(rasters), names.rasters)
if (length(rasters) != 6)
{
for (name.i in names.rasters)
{
if (!(name.i %in% names(rasters)))
{
rasters[name.i] = NA
}
}
}
rasters = rasters[names.rasters]
## CHECK parameter multipleSet
names.multipleSet = c("name.simulation.1", "name.simulation.2", "file.simulParam.1", "file.simulParam.2"
, "no_simulations", "opt.percent_maxAbund", "opt.percent_seeding", "opt.percent_light"
, "opt.percent_soil", "do.max_abund_low", "do.max_abund_medium", "do.max_abund_high"
, "do.seeding_duration", "do.seeding_timestep", "do.seeding_input", "do.no_strata"
, "do.LIGHT.thresh_medium", "do.LIGHT.thresh_low", "do.SOIL.init", "do.SOIL.retention"
, "do.DISPERSAL.mode", "do.HABSUIT.mode")
.testParam_notInValues.m(names(multipleSet), names.multipleSet)
if (length(multipleSet) != 22)
{
for (name.i in names.multipleSet)
{
if (!(name.i %in% names(multipleSet)))
{
multipleSet[name.i] = NA
}
}
}
multipleSet = multipleSet[names.multipleSet]
if (length(which(is.na(multipleSet))) < 22)
{
## CHECK parameter name.simulation.1
.testParam_existFolder(multipleSet['name.simulation.1'], "PARAM_SIMUL/")
.testParam_existFolder(multipleSet['name.simulation.1'], "DATA/GLOBAL_PARAMETERS/")
multipleSet['name.simulation.1'] = sub("/$", "", multipleSet['name.simulation.1'])
## CHECK parameter file.simulParam.1
if (.testParam_notChar(multipleSet['file.simulParam.1']))
{
abs.simulParams = list.files(paste0(multipleSet['name.simulation.1'], "/PARAM_SIMUL/"))
if (length(abs.simulParams) == 0)
{
stop(paste0("Missing data!\n The folder ", multipleSet['name.simulation.1']
, "/PARAM_SIMUL/ does not contain adequate files"))
} else
{
stop(paste0("Missing data!\n The folder "
, multipleSet['name.simulation.1']
, "/PARAM_SIMUL/ contain one or more files.\n"
, "You must select one with the `file.simulParam.1` parameter "))
}
} else
{
multipleSet['file.simulParam.1'] = basename(multipleSet['file.simulParam.1'])
multipleSet['file.simulParam.1'] = paste0(multipleSet['name.simulation.1'], "/PARAM_SIMUL/", multipleSet['file.simulParam.1'])
.testParam_existFile(multipleSet['file.simulParam.1'])
scenario1 = TRUE
}
## CHECK parameter file.simulParam.2
if (!.testParam_notChar(multipleSet['file.simulParam.2']))
{
if (!.testParam_notChar(multipleSet['name.simulation.2']))
{
.testParam_existFolder(multipleSet['name.simulation.2'], "PARAM_SIMUL/")
.testParam_existFolder(multipleSet['name.simulation.2'], "DATA/GLOBAL_PARAMETERS/")
multipleSet['name.simulation.2'] = sub("/$", "", multipleSet['name.simulation.2'])
multipleSet['file.simulParam.2'] = basename(multipleSet['file.simulParam.2'])
multipleSet['file.simulParam.2'] = paste0(multipleSet['name.simulation.2'], "/PARAM_SIMUL/", multipleSet['file.simulParam.2'])
.testParam_existFile(multipleSet['file.simulParam.2'])
if (multipleSet['name.simulation.1'] == multipleSet['name.simulation.2'] &&
multipleSet['file.simulParam.1'] == multipleSet['file.simulParam.2'])
{
stop(paste0("You must select different simulation parameter files !"))
}
scenario1 = FALSE
} else
{
multipleSet['file.simulParam.2'] = basename(multipleSet['file.simulParam.2'])
multipleSet['file.simulParam.2'] = paste0(multipleSet['name.simulation.1']
, "/PARAM_SIMUL/", multipleSet['file.simulParam.2'])
.testParam_existFile(multipleSet['file.simulParam.2'])
if (multipleSet['file.simulParam.1'] == multipleSet['file.simulParam.2'])
{
stop(paste0("You must select different simulation parameter files !"))
}
scenario1 = FALSE
}
}
## CHECK parameter no_simulations
.testParam_notInteger.m("multipleSet['no_simulations']", multipleSet['no_simulations'])
.testParam_notRound.m("multipleSet['no_simulations']", multipleSet['no_simulations'])
## CHECK parameters scenario1
if (scenario1)
{
.testParam_notNum.m("multipleSet['opt.percent_maxAbund']", multipleSet['opt.percent_maxAbund'])
.testParam_notBetween.m("multipleSet['opt.percent_maxAbund']", multipleSet['opt.percent_maxAbund'], 0, 1)
.testParam_notNum.m("multipleSet['opt.percent_seeding']", multipleSet['opt.percent_seeding'])
.testParam_notBetween.m("multipleSet['opt.percent_seeding']", multipleSet['opt.percent_seeding'], 0, 1)
.testParam_notNum.m("multipleSet['opt.percent_light']", multipleSet['opt.percent_light'])
.testParam_notBetween.m("multipleSet['opt.percent_light']", multipleSet['opt.percent_light'], 0, 1)
.testParam_notNum.m("multipleSet['opt.percent_soil']", multipleSet['opt.percent_soil'])
.testParam_notBetween.m("multipleSet['opt.percent_soil']", multipleSet['opt.percent_soil'], 0, 1)
}
## CHECK parameters do.[...]
.testParam_notInValues.m("multipleSet['do.max_abund_low']", multipleSet['do.max_abund_low'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.max_abund_medium']", multipleSet['do.max_abund_medium'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.max_abund_high']", multipleSet['do.max_abund_high'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.seeding_duration']", multipleSet['do.seeding_duration'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.seeding_timestep']", multipleSet['do.seeding_timestep'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.seeding_input']", multipleSet['do.seeding_input'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.no_strata']", multipleSet['do.no_strata'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.LIGHT.thresh_medium']", multipleSet['do.LIGHT.thresh_medium'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.LIGHT.thresh_low']", multipleSet['do.LIGHT.thresh_low'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.SOIL.init']", multipleSet['do.SOIL.init'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.SOIL.retention']", multipleSet['do.SOIL.retention'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.DISPERSAL.mode']", multipleSet['do.DISPERSAL.mode'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.HABSUIT.mode']", multipleSet['do.HABSUIT.mode'], c(0, 1))
}
cat("\n\n #------------------------------------------------------------#")
cat("\n # SAVE_FATE.step2_parameters")
cat("\n #------------------------------------------------------------# \n")
# {
# cat("\n ---------- INFORMATION : SAMPLING \n")
# cat("\n Number of releves : ", MO.no_releves)
# cat("\n Number of sites : ", MO.no_sites)
# cat("\n Number of species : ", MO.no_species)
# cat("\n")
# }
#############################################################################
results = list(name.dataset
, name.simulation
, strata.limits
, mat.PFG.succ
, mat.PFG.light
, mat.PFG.light.tol
, mat.PFG.soil
, mat.PFG.soil.tol
, mat.PFG.disp
, mat.PFG.dist
, mat.PFG.dist.tol
, mat.PFG.drought
, mat.PFG.drought.tol
, rasters
, multipleSet
, name.arch_data
, name.arch_paramsimul)
name.dataset = paste0("FATE_dataset_", name.dataset, "_step2_parameters")
assign(name.dataset, results)
save(name.dataset, file = paste0(name.dataset, ".RData"))
#############################################################################
cat("\n> Done!\n")
return(results)
}
MayaGueguen/RFate documentation built on Oct. 17, 2020, 8:06 a.m.
R Package Documentation
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Defines functions SAVE_FATE.step2_parameters
Documented in SAVE_FATE.step2_parameters
### HEADER #####################################################################
##' @title Save data to reproduce building of parameter files
##'
##' @name SAVE_FATE.step2_parameters
##'
##' @author Maya Guéguen
##'
##' @description This script is designed to gather all data and parameters
##' used to build a \code{FATE} simulation folder.
##'
##' @param name.dataset a \code{string} corresponding to the name to give to
##' archive folder
##' @param name.simulation (\emph{optional}) default \code{NA}. \cr
##' A \code{string} corresponding to the name of the simulation folder
##' @param strata.limits a \code{vector} of \code{integer} containing height
##' strata limits
##' @param mat.PFG.succ a \code{data.frame} with at least 5 columns : \cr
##' \code{PFG}, \code{type}, \code{height}, \code{maturity}, \code{longevity}
##' \cr (\emph{and optionally, \code{max_abundance}, \code{potential_fecundity},
##' \code{immature_size}, \code{is_alien}, \code{flammability}})
##' \cr (see \code{\link{PRE_FATE.params_PFGsuccession}})
##' @param mat.PFG.light (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 2 to 6 columns : \cr
##' \itemize{
##' \item \code{PFG},
##' \item \code{type}, (\emph{or \code{active_germ_low},
##' \code{active_germ_medium}, \code{active_germ_high}}) (\emph{or
##' \code{strategy_ag}})
##' \item \emph{\code{type}, \code{light_need}}
##' }
##' (see \code{\link{PRE_FATE.params_PFGlight}})
##' @param mat.PFG.light.tol (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 2 to 4 columns : \cr
##' \itemize{
##' \item \code{PFG},
##' \item \code{lifeStage}, \code{resources}, \code{tolerance}
##' (\emph{or \code{strategy_tol}})
##' }
##' (see \code{\link{PRE_FATE.params_PFGlight}})
##' @param mat.PFG.soil (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 3 to 7 columns : \cr
##' \itemize{
##' \item \code{PFG},
##' \item \code{type}, (\emph{or \code{active_germ_low},
##' \code{active_germ_medium}, \code{active_germ_high}}) (\emph{or
##' \code{strategy_ag}})
##' \item \code{soil_contrib}, \code{soil_tol_min}, \code{soil_tol_max}
##' (\emph{or \code{strategy_contrib}})
##' }
##' (see \code{\link{PRE_FATE.params_PFGsoil}})
##' @param mat.PFG.soil.tol (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 2 to 4 columns : \cr
##' \itemize{
##' \item \code{PFG},
##' \item \code{lifeStage}, \code{resources}, \code{tolerance}
##' (\emph{or \code{strategy_tol}})
##' }
##' (see \code{\link{PRE_FATE.params_PFGsoil}})
##' @param mat.PFG.disp (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 4 columns : \code{PFG}, \code{d50}, \code{d99},
##' \code{ldd} (see \code{\link{PRE_FATE.params_PFGdispersal}})
##' @param mat.PFG.dist (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 5 columns : \cr
##' \code{PFG}, \code{type}, \code{maturity}, \code{longevity},
##' \code{age_above_150cm} (see \code{\link{PRE_FATE.params_PFGdisturbance}})
##' @param mat.PFG.dist.tol (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 3 to 7 columns : \cr
##' \itemize{
##' \item \code{nameDist},
##' \item \code{PFG},
##' \item (\emph{\code{responseStage}, \code{breakAge}, \code{resproutAge}}),
##' \item \code{responseStage}, \code{killedIndiv}, \code{resproutIndiv}
##' (\emph{or \code{strategy_tol}})
##' }
##' (see \code{\link{PRE_FATE.params_PFGdisturbance}})
##' @param mat.PFG.drought (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 4 or 6 columns : \cr
##' \itemize{
##' \item \code{PFG},
##' \item \code{threshold_moderate}, \code{threshold_severe},
##' \item \code{counter_recovery}, \code{counter_sens}, \code{counter_cum}
##' (\emph{or \code{strategy_drou}})
##' }
##' (see \code{\link{PRE_FATE.params_PFGdrought}})
##' @param mat.PFG.drought.tol (\emph{optional}) default \code{NA}. \cr
##' A \code{data.frame} with 3 to 7 columns : \cr
##' \itemize{
##' \item \code{nameDist},
##' \item \code{PFG},
##' \item (\emph{\code{responseStage}, \code{breakAge}, \code{resproutAge}}),
##' \item \code{responseStage}, \code{killedIndiv}, \code{resproutIndiv}
##' (\emph{or \code{strategy_tol}})
##' }
##' (see \code{\link{PRE_FATE.params_PFGdrought}})
##' @param rasters a \code{list} containing all the rasters given to the
##' \code{\link{PRE_FATE.params_simulParameters}} function, if used
##' (\code{name.MASK}, \code{name.DIST}, \code{name.DROUGHT}, \code{name.FIRE},
##' \code{name.ELEVATION}, \code{name.SLOPE})
##' @param multipleSet a \code{list} containing all the parameter values given
##' to the \code{\link{PRE_FATE.params_multipleSet}} function, if used
##' (\code{name.simulation.1}, \code{name.simulation.2},
##' \code{file.simulParam.1}, \code{file.simulParam.2},
##' \code{no_simulations}, \code{opt.percent_maxAbund},
##' \code{opt.percent_seeding}, \code{opt.percent_light},
##' \code{opt.percent_soil}, \code{do.max_abund_low},
##' \code{do.max_abund_medium}, \code{do.max_abund_high},
##' \code{do.seeding_duration}, \code{do.seeding_timestep},
##' \code{do.seeding_input}, \code{do.no_strata},
##' \code{do.LIGHT.thresh_medium}, \code{do.LIGHT.thresh_low},
##' \code{do.SOIL.init}, \code{do.SOIL.retention},
##' \code{do.DISPERSAL.mode}, \code{do.HABSUIT.mode})
##'
##'
##'
##' @return A \code{list} containing all the elements given to the function and
##' checked, and two archive files :
##'
##' \describe{
##' \item{name.dataset}{name of the dataset}
##' \item{strata.limits}{height strata limits}
##' \item{mat.PFG.succ}{}
##' \item{(mat.PFG.light)}{}
##' \item{(mat.PFG.light.tol)}{}
##' \item{(mat.PFG.soil)}{}
##' \item{(mat.PFG.soil.tol)}{}
##' \item{(mat.PFG.disp)}{}
##' \item{(mat.PFG.dist)}{}
##' \item{(mat.PFG.dist.tol)}{}
##' \item{(mat.PFG.drought)}{}
##' \item{(mat.PFG.drought.tol)}{}
##' \item{rasters}{raster files of all simulation masks}
##' \item{(multipleSet)}{ \cr \cr}
##' \item{(name.simulation)}{name of the simulation folder}
##' \item{(\code{DATA} folder)}{contained in \code{name.simulation} folder
##' and archived}
##' \item{(\code{PARAM_SIMUL} folder)}{contained in \code{name.simulation}
##' folder and archived \cr \cr}
##' }
##'
##' The information is written in \file{FATE_dataset_[name.dataset]_step2_parameters.RData} file.
##'
##'
##' @seealso \code{\link{PRE_FATE.skeletonDirectory}},
##' \code{\link{PRE_FATE.params_PFGsuccession}},
##' \code{\link{PRE_FATE.params_PFGlight}},
##' \code{\link{PRE_FATE.params_PFGsoil}},
##' \code{\link{PRE_FATE.params_PFGdispersal}},
##' \code{\link{PRE_FATE.params_PFGdisturbance}},
##' \code{\link{PRE_FATE.params_PFGdrought}},
##' \code{\link{PRE_FATE.params_changingYears}},
##' \code{\link{PRE_FATE.params_savingYears}},
##' \code{\link{PRE_FATE.params_globalParameters}},
##' \code{\link{PRE_FATE.params_simulParameters}},
##' \code{\link{PRE_FATE.params_multipleSet}}
##'
##' @examples
##'
##' ## Load example data
##'
##' @export
##'
##' @importFrom utils zip
##'
## END OF HEADER ###############################################################
SAVE_FATE.step2_parameters = function(name.dataset
, name.simulation = NA
, strata.limits
, mat.PFG.succ
, mat.PFG.light = NA
, mat.PFG.light.tol = NA
, mat.PFG.soil = NA
, mat.PFG.soil.tol = NA
, mat.PFG.disp = NA
, mat.PFG.dist = NA
, mat.PFG.dist.tol = NA
, mat.PFG.drought = NA
, mat.PFG.drought.tol = NA
, rasters = list("name.MASK" = NA
, "name.DIST" = NA
, "name.DROUGHT" = NA
, "name.FIRE" = NA
, "name.ELEVATION" = NA
, "name.SLOPE" = NA)
, multipleSet = list("name.simulation.1" = NA
, "name.simulation.2" = NA
, "file.simulParam.1" = NA
, "file.simulParam.2" = NA
, "no_simulations" = NA
, "opt.percent_maxAbund" = NA
, "opt.percent_seeding" = NA
, "opt.percent_light" = NA
, "opt.percent_soil" = NA
, "do.max_abund_low" = NA
, "do.max_abund_medium" = NA
, "do.max_abund_high" = NA
, "do.seeding_duration" = NA
, "do.seeding_timestep" = NA
, "do.seeding_input" = NA
, "do.no_strata" = NA
, "do.LIGHT.thresh_medium" = NA
, "do.LIGHT.thresh_low" = NA
, "do.SOIL.init" = NA
, "do.SOIL.retention" = NA
, "do.DISPERSAL.mode" = NA
, "do.HABSUIT.mode" = NA)
){
#############################################################################
.testParam_notChar.m("name.dataset", name.dataset)
if (!is.na(name.simulation))
{
## CHECK parameter name.simulation
.testParam_existFolder(name.simulation, "DATA/")
.testParam_existFolder(name.simulation, "PARAM_SIMUL/")
## ARCHIVE folders
name.arch_data = paste0(paste0(unique(c(name.dataset, name.simulation)), collapse = "_"), "_DATA.zip")
name.arch_paramsimul = paste0(name.simulation, "_PARAM_SIMUL.zip")
zip(zipfile = name.arch_data, files = paste0(name.simulation, "DATA/"), flags = "-r")
zip(zipfile = name.arch_paramsimul, files = paste0(name.simulation, "PARAM_SIMUL/"), flags = "-r")
}
## CHECK parameter strata.limits
strata.limits = sort(unique(na.exclude(strata.limits)))
.testParam_notInteger.m("strata.limits", strata.limits)
## CHECK parameter mat.PFG.succ
if (.testParam_notDf(mat.PFG.succ))
{
.stopMessage_beDataframe("mat.PFG.succ")
} else
{
if (nrow(mat.PFG.succ) == 0 || !(ncol(mat.PFG.succ) %in% c(5, 6, 7, 8, 9, 10)))
{
.stopMessage_numRowCol("mat.PFG.succ", c("PFG", "type","height", "maturity", "longevity"
, "(max_abundance)", "(potential_fecundity)"
, "(immature_size)", "(is_alien)", "(flammability)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.succ))
, "5" = .testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity", "longevity"))
, "6" = (.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "potential_fecundity")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "immature_size")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "flammability")))
, "7" = (.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "potential_fecundity")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "immature_size")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "flammability")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "potential_fecundity"
, "immature_size")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "potential_fecundity"
, "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "potential_fecundity"
, "flammability")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "immature_size"
, "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "immature_size"
, "flammability")))
, "8" = (.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "potential_fecundity", "immature_size")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "potential_fecundity", "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "potential_fecundity", "flammability")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "immature_size", "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "max_abundance"
, "immature_size", "flammability")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "potential_fecundity"
, "potential_fecundity", "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity"
, "longevity", "potential_fecundity"
, "potential_fecundity", "flammability")))
, "9" = (.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity", "longevity"
, "max_abundance", "potential_fecundity"
, "immature_size", "is_alien")) &&
.testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity", "longevity"
, "max_abundance", "potential_fecundity"
, "immature_size", "flammability")))
, "10" = .testParam_notColnames(mat.PFG.succ, c("PFG", "type","height", "maturity", "longevity"
, "max_abundance", "potential_fecundity"
, "immature_size", "is_alien", "flammability"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.succ", c("PFG", "type","height", "maturity", "longevity"
, "(max_abundance)", "(potential_fecundity)"
, "(immature_size)", "(is_alien)", "(flammability)"))
}
}
mat.PFG.succ$PFG = as.character(mat.PFG.succ$PFG)
.testParam_samevalues.m("mat.PFG.succ$PFG", mat.PFG.succ$PFG)
.testParam_notChar.m("mat.PFG.succ$PFG", mat.PFG.succ$PFG)
mat.PFG.succ$type = as.character(mat.PFG.succ$type)
.testParam_notInValues.m("mat.PFG.succ$type", mat.PFG.succ$type, c("H", "C", "P"))
.testParam_notNum.m("mat.PFG.succ$height", mat.PFG.succ$height)
.testParam_NAvalues.m("mat.PFG.succ$height", mat.PFG.succ$height)
.testParam_notNum.m("mat.PFG.succ$maturity", mat.PFG.succ$maturity)
.testParam_NAvalues.m("mat.PFG.succ$maturity", mat.PFG.succ$maturity)
.testParam_notNum.m("mat.PFG.succ$longevity", mat.PFG.succ$longevity)
.testParam_NAvalues.m("mat.PFG.succ$longevity", mat.PFG.succ$longevity)
if (sum(mat.PFG.succ$maturity > mat.PFG.succ$longevity) > 0){
stop(paste0("Wrong type of data!\n `mat.PFG.succ$maturity` must contain "
, "values equal or inferior to `mat.PFG.succ$longevity`"))
}
if (sum(colnames(mat.PFG.succ) == "max_abundance") == 1)
{
.testParam_NAvalues.m("mat.PFG.succ$max_abundance", mat.PFG.succ$max_abundance)
.testParam_notInValues.m("mat.PFG.succ$max_abundance", mat.PFG.succ$max_abundance, 1:3)
}
if (sum(colnames(mat.PFG.succ) == "potential_fecundity") == 1)
{
.testParam_notNum.m("mat.PFG.succ$potential_fecundity", mat.PFG.succ$potential_fecundity)
.testParam_NAvalues.m("mat.PFG.succ$potential_fecundity", mat.PFG.succ$potential_fecundity)
}
if (sum(colnames(mat.PFG.succ) == "immature_size") == 1)
{
.testParam_NAvalues.m("mat.PFG.succ$immature_size", mat.PFG.succ$immature_size)
.testParam_notInValues.m("mat.PFG.succ$immature_size", mat.PFG.succ$immature_size, 0:10)
}
if (sum(colnames(mat.PFG.succ) == "is_alien") == 1)
{
.testParam_NAvalues.m("mat.PFG.succ$is_alien", mat.PFG.succ$is_alien)
.testParam_notInValues.m("mat.PFG.succ$is_alien", mat.PFG.succ$is_alien, 0:1)
}
if (sum(colnames(mat.PFG.succ) == "flammability") == 1)
{
.testParam_notNum.m("mat.PFG.succ$flammability", mat.PFG.succ$flammability)
.testParam_NAvalues.m("mat.PFG.succ$flammability", mat.PFG.succ$flammability)
}
}
## CHECK parameter mat.PFG.light
if (.testParam_notDf(mat.PFG.light))
{
.stopMessage_beDataframe("mat.PFG.light")
} else
{
if (nrow(mat.PFG.light) == 0 || !(ncol(mat.PFG.light) %in% c(2, 3, 4, 6)))
{
.stopMessage_numRowCol("mat.PFG.light", c("PFG", "type", "(active_germ_low)", "(active_germ_medium)"
, "(active_germ_high)", "(strategy_ag)", "(light_need)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.light))
, "2" = (.testParam_notColnames(mat.PFG.light, c("PFG", "type")) &&
.testParam_notColnames(mat.PFG.light, c("PFG", "strategy_ag")))
, "3" = .testParam_notColnames(mat.PFG.light, c("PFG", "type", "light_need"))
, "4" = (.testParam_notColnames(mat.PFG.light, c("PFG", "active_germ_low"
, "active_germ_medium"
, "active_germ_high")) &&
.testParam_notColnames(mat.PFG.light, c("PFG", "strategy_ag"
, "type", "light_need")))
, "6" = .testParam_notColnames(mat.PFG.light, c("PFG", "active_germ_low"
, "active_germ_medium"
, "active_germ_high"
, "type", "light_need"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.light", c("PFG", "type", "(active_germ_low)", "(active_germ_medium)"
, "(active_germ_high)", "(strategy_ag)", "(light_need)"))
}
}
mat.PFG.light$PFG = as.character(mat.PFG.light$PFG)
.testParam_samevalues.m("mat.PFG.light$PFG", mat.PFG.light$PFG)
.testParam_notChar.m("mat.PFG.light$PFG", mat.PFG.light$PFG)
if (sum(colnames(mat.PFG.light) == "type") == 1)
{
mat.PFG.light$type = as.character(mat.PFG.light$type)
.testParam_notInValues.m("mat.PFG.light$type", mat.PFG.light$type, c("H", "C", "P"))
}
if (sum(colnames(mat.PFG.light) == "light_need") == 1)
{
.testParam_NAvalues.m("mat.PFG.light$light_need", mat.PFG.light$light_need)
.testParam_notInValues.m("mat.PFG.light$light_need", mat.PFG.light$light_need, 0:5)
}
if (sum(colnames(mat.PFG.light) == "active_germ_low") == 1)
{
.testParam_NAvalues.m("mat.PFG.light$active_germ_low", mat.PFG.light$active_germ_low)
.testParam_notInValues.m("mat.PFG.light$active_germ_low", mat.PFG.light$active_germ_low, 0:10)
.testParam_NAvalues.m("mat.PFG.light$active_germ_medium", mat.PFG.light$active_germ_medium)
.testParam_notInValues.m("mat.PFG.light$active_germ_medium", mat.PFG.light$active_germ_medium, 0:10)
.testParam_NAvalues.m("mat.PFG.light$active_germ_high", mat.PFG.light$active_germ_high)
.testParam_notInValues.m("mat.PFG.light$active_germ_high", mat.PFG.light$active_germ_high, 0:10)
}
if (sum(colnames(mat.PFG.light) == "strategy_ag") == 1)
{
mat.PFG.light$strategy_ag = as.character(mat.PFG.light$strategy_ag)
.testParam_notInValues.m("mat.PFG.light$strategy_ag", mat.PFG.light$strategy_ag
, c("light_lover", "indifferent", "shade_lover"))
}
}
## CHECK parameter mat.PFG.light.tol
if (!is.null(mat.PFG.light.tol))
{
if (.testParam_notDf(mat.PFG.light.tol))
{
.stopMessage_beDataframe("mat.PFG.light.tol")
} else
{
if (nrow(mat.PFG.light.tol) == 0 || !(ncol(mat.PFG.light.tol) %in% c(2, 4)))
{
.stopMessage_numRowCol("mat.PFG.light.tol", c("PFG", "lifeStage", "resources", "tolerance", "(strategy_tol)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.light.tol))
, "2" = .testParam_notColnames(mat.PFG.light.tol, c("PFG", "strategy_tol"))
, "4" = .testParam_notColnames(mat.PFG.light.tol, c("PFG", "lifeStage", "resources", "tolerance"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.light.tol", c("PFG", "lifeStage", "resources", "tolerance", "(strategy_tol)"))
}
}
mat.PFG.light.tol$PFG = as.character(mat.PFG.light.tol$PFG)
.testParam_notChar.m("mat.PFG.light.tol$PFG", mat.PFG.light.tol$PFG)
if (sum(colnames(mat.PFG.light.tol) == "lifeStage") == 1)
{
.testParam_notInValues.m("mat.PFG.light.tol$lifeStage", mat.PFG.light.tol$lifeStage, c("Germinant", "Immature", "Mature"))
.testParam_notInValues.m("mat.PFG.light.tol$resources", mat.PFG.light.tol$resources, c("Low", "Medium", "High"))
.testParam_NAvalues.m("mat.PFG.light.tol$tolerance", mat.PFG.light.tol$tolerance)
.testParam_notInValues.m("mat.PFG.light.tol$tolerance", mat.PFG.light.tol$tolerance, 0:10)
}
if (sum(colnames(mat.PFG.light.tol) == "strategy_tol") == 1)
{
mat.PFG.light.tol$strategy_tol = as.character(mat.PFG.light.tol$strategy_tol)
.testParam_notInValues.m("mat.PFG.light.tol$strategy_tol", mat.PFG.light.tol$strategy_tol
, c("full_light", "pioneer", "ubiquist", "semi_shade", "undergrowth"))
}
}
}
## CHECK parameter mat.PFG.soil
if (.testParam_notDf(mat.PFG.soil))
{
.stopMessage_beDataframe("mat.PFG.soil")
} else
{
if (nrow(mat.PFG.soil) == 0 || !(ncol(mat.PFG.soil) %in% c(3, 5, 7)))
{
.stopMessage_numRowCol("mat.PFG.soil", c("PFG", "type", "(active_germ_low)", "(active_germ_medium)"
, "(active_germ_high)", "(strategy_ag)", "soil_contrib"
, "soil_tol_min", "soil_tol_max", "(strategy_contrib)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.soil))
, "3" = (.testParam_notColnames(mat.PFG.soil, c("PFG", "type", "strategy_contrib")) &&
.testParam_notColnames(mat.PFG.soil, c("PFG", "strategy_ag", "strategy_contrib")))
, "5" = (.testParam_notColnames(mat.PFG.soil, c("PFG", "type", "soil_contrib"
, "soil_tol_min", "soil_tol_max")) &&
.testParam_notColnames(mat.PFG.soil, c("PFG", "active_germ_low"
, "active_germ_medium"
, "active_germ_high"
, "strategy_contrib")) &&
.testParam_notColnames(mat.PFG.soil, c("PFG", "strategy_ag", "soil_contrib"
, "soil_tol_min", "soil_tol_max")))
, "7" = .testParam_notColnames(mat.PFG.soil, c("PFG", "active_germ_low"
, "active_germ_medium"
, "active_germ_high", "soil_contrib"
, "soil_tol_min", "soil_tol_max"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.soil", c("PFG", "type", "(active_germ_low)", "(active_germ_medium)"
, "(active_germ_high)", "(strategy_ag)", "soil_contrib"
, "soil_tol_min", "soil_tol_max", "(strategy_contrib)"))
}
}
mat.PFG.soil$PFG = as.character(mat.PFG.soil$PFG)
.testParam_samevalues.m("mat.PFG.soil$PFG", mat.PFG.soil$PFG)
.testParam_notChar.m("mat.PFG.soil$PFG", mat.PFG.soil$PFG)
if (sum(colnames(mat.PFG.soil) == "type") == 1)
{
mat.PFG.soil$type = as.character(mat.PFG.soil$type)
.testParam_notInValues.m("mat.PFG.soil$type", mat.PFG.soil$type, c("H", "C", "P"))
}
if (sum(colnames(mat.PFG.soil) == "active_germ_low") == 1)
{
.testParam_NAvalues.m("mat.PFG.soil$active_germ_low", mat.PFG.soil$active_germ_low)
.testParam_notInValues.m("mat.PFG.soil$active_germ_low", mat.PFG.soil$active_germ_low, 0:10)
.testParam_NAvalues.m("mat.PFG.soil$active_germ_medium", mat.PFG.soil$active_germ_medium)
.testParam_notInValues.m("mat.PFG.soil$active_germ_medium", mat.PFG.soil$active_germ_medium, 0:10)
.testParam_NAvalues.m("mat.PFG.soil$active_germ_high", mat.PFG.soil$active_germ_high)
.testParam_notInValues.m("mat.PFG.soil$active_germ_high", mat.PFG.soil$active_germ_high, 0:10)
}
if (sum(colnames(mat.PFG.soil) == "strategy_ag") == 1)
{
mat.PFG.soil$strategy_ag = as.character(mat.PFG.soil$strategy_ag)
.testParam_notInValues.m("mat.PFG.soil$strategy_ag", mat.PFG.soil$strategy_ag
, c("poor_lover", "indifferent", "rich_lover"))
}
if (sum(colnames(mat.PFG.soil) == "soil_contrib") == 1)
{
.testParam_notNum.m("mat.PFG.soil$soil_contrib", mat.PFG.soil$soil_contrib)
.testParam_NAvalues.m("mat.PFG.soil$soil_contrib", mat.PFG.soil$soil_contrib)
.testParam_notNum.m("mat.PFG.soil$soil_tol_min", mat.PFG.soil$soil_tol_min)
.testParam_NAvalues.m("mat.PFG.soil$soil_tol_min", mat.PFG.soil$soil_tol_min)
.testParam_notNum.m("mat.PFG.soil$soil_tol_max", mat.PFG.soil$soil_tol_max)
.testParam_NAvalues.m("mat.PFG.soil$soil_tol_max", mat.PFG.soil$soil_tol_max)
if (sum(mat.PFG.soil$soil_tol_min > mat.PFG.soil$soil_contrib) > 0){
stop(paste0("Wrong type of data!\n `mat.PFG.soil$soil_tol_min` must contain "
, "values equal or inferior to `mat.PFG.soil$soil_contrib`"))
}
if (sum(mat.PFG.soil$soil_tol_max < mat.PFG.soil$soil_contrib) > 0){
stop(paste0("Wrong type of data!\n `mat.PFG.soil$soil_tol_max` must contain "
, "values equal or superior to `mat.PFG.soil$soil_contrib`"))
}
}
if (sum(colnames(mat.PFG.soil) == "strategy_contrib") == 1)
{
mat.PFG.soil$strategy_contrib = as.character(mat.PFG.soil$strategy_contrib)
.testParam_notInValues.m("mat.PFG.soil$strategy_contrib", mat.PFG.soil$strategy_contrib
, c("full_light", "pioneer", "ubiquist", "semi_shade", "undergrowth"))
}
}
## CHECK parameter mat.PFG.soil.tol
if (!is.null(mat.PFG.soil.tol))
{
if (.testParam_notDf(mat.PFG.soil.tol))
{
.stopMessage_beDataframe("mat.PFG.soil.tol")
} else
{
if (nrow(mat.PFG.soil.tol) == 0 || !(ncol(mat.PFG.soil.tol) %in% c(2, 4)))
{
.stopMessage_numRowCol("mat.PFG.soil.tol", c("PFG", "lifeStage", "resources", "tolerance", "(strategy_tol)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.soil.tol))
, "2" = .testParam_notColnames(mat.PFG.soil.tol, c("PFG", "strategy_tol"))
, "4" = .testParam_notColnames(mat.PFG.soil.tol, c("PFG", "lifeStage", "resources", "tolerance"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.soil.tol", c("PFG", "lifeStage", "resources", "tolerance", "(strategy_tol)"))
}
}
mat.PFG.soil.tol$PFG = as.character(mat.PFG.soil.tol$PFG)
.testParam_notChar.m("mat.PFG.soil.tol$PFG", mat.PFG.soil.tol$PFG)
if (sum(colnames(mat.PFG.soil.tol) == "lifeStage") == 1)
{
.testParam_notInValues.m("mat.PFG.soil.tol$lifeStage", mat.PFG.soil.tol$lifeStage, c("Germinant", "Immature", "Mature"))
.testParam_notInValues.m("mat.PFG.soil.tol$resources", mat.PFG.soil.tol$resources, c("Low", "Medium", "High"))
.testParam_NAvalues.m("mat.PFG.soil.tol$tolerance", mat.PFG.soil.tol$tolerance)
.testParam_notInValues.m("mat.PFG.soil.tol$tolerance", mat.PFG.soil.tol$tolerance, 0:10)
}
if (sum(colnames(mat.PFG.soil.tol) == "strategy_tol") == 1)
{
mat.PFG.soil.tol$strategy_tol = as.character(mat.PFG.soil.tol$strategy_tol)
.testParam_notInValues.m("mat.PFG.soil.tol$strategy_tol", mat.PFG.soil.tol$strategy_tol
, c("full_light", "pioneer", "ubiquist", "semi_shade", "undergrowth"))
}
}
}
## CHECK parameter mat.PFG.disp
if (.testParam_notDf(mat.PFG.disp))
{
.stopMessage_beDataframe("mat.PFG.disp")
} else
{
if (nrow(mat.PFG.disp) == 0 || ncol(mat.PFG.disp) != 4)
{
.stopMessage_numRowCol("mat.PFG.disp", c("PFG", "d50", "d99", "ldd"))
} else if (.testParam_notColnames(mat.PFG.disp, c("PFG", "d50", "d99", "ldd")))
{
.stopMessage_columnNames("mat.PFG.disp", c("PFG", "d50", "d99", "ldd"))
}
mat.PFG.disp$PFG = as.character(mat.PFG.disp$PFG)
.testParam_samevalues.m("mat.PFG.disp$PFG", mat.PFG.disp$PFG)
.testParam_notChar.m("mat.PFG.disp$PFG", mat.PFG.disp$PFG)
.testParam_notNum.m("mat.PFG.disp$d50", mat.PFG.disp$d50)
.testParam_NAvalues.m("mat.PFG.disp$d50", mat.PFG.disp$d50)
.testParam_notNum.m("mat.PFG.disp$d99", mat.PFG.disp$d99)
.testParam_NAvalues.m("mat.PFG.disp$d99", mat.PFG.disp$d99)
.testParam_notNum.m("mat.PFG.disp$ldd", mat.PFG.disp$ldd)
.testParam_NAvalues.m("mat.PFG.disp$ldd", mat.PFG.disp$ldd)
}
## CHECK parameter mat.PFG.dist
if (!is.null(mat.PFG.dist))
{
if (.testParam_notDf(mat.PFG.dist))
{
.stopMessage_beDataframe("mat.PFG.dist")
} else
{
if (nrow(mat.PFG.dist) == 0 || ncol(mat.PFG.dist) != 5)
{
.stopMessage_numRowCol("mat.PFG.dist", c("PFG", "type", "maturity", "longevity", "age_above_150cm"))
} else if (.testParam_notColnames(mat.PFG.dist, c("PFG", "type", "maturity", "longevity", "age_above_150cm")))
{
.stopMessage_columnNames("mat.PFG.dist", c("PFG", "type", "maturity", "longevity", "age_above_150cm"))
}
mat.PFG.dist$PFG = as.character(mat.PFG.dist$PFG)
.testParam_samevalues.m("mat.PFG.dist$PFG", mat.PFG.dist$PFG)
.testParam_notChar.m("mat.PFG.dist$PFG", mat.PFG.dist$PFG)
mat.PFG.dist$type = as.character(mat.PFG.dist$type)
.testParam_notInValues.m("mat.PFG.dist$type", mat.PFG.dist$type, c("H", "C", "P"))
.testParam_notNum.m("mat.PFG.dist$maturity", mat.PFG.dist$maturity)
.testParam_NAvalues.m("mat.PFG.dist$maturity", mat.PFG.dist$maturity)
.testParam_notNum.m("mat.PFG.dist$longevity", mat.PFG.dist$longevity)
.testParam_NAvalues.m("mat.PFG.dist$longevity", mat.PFG.dist$longevity)
.testParam_notNum.m("mat.PFG.dist$age_above_150cm", mat.PFG.dist$age_above_150cm)
.testParam_NAvalues.m("mat.PFG.dist$age_above_150cm", mat.PFG.dist$age_above_150cm)
if (sum(mat.PFG.dist$maturity > mat.PFG.dist$longevity) > 0){
stop(paste0("Wrong type of data!\n `mat.PFG.dist$maturity` must contain "
, "values equal or inferior to `mat.PFG.dist$longevity`"))
}
mat.PFG.dist$longevity = mat.PFG.dist$longevity - 1
}
}
## CHECK parameter mat.PFG.dist.tol
if (.testParam_notDf(mat.PFG.dist.tol))
{
.stopMessage_beDataframe("mat.PFG.dist.tol")
} else
{
if (nrow(mat.PFG.dist.tol) == 0 || !(ncol(mat.PFG.dist.tol) %in% c(3, 5, 6, 7)))
{
.stopMessage_numRowCol("mat.PFG.dist.tol", c("nameDist", "PFG", "responseStage", "(breakAge)", "(resproutAge)"
, "killedIndiv", "resproutIndiv", "(strategy_tol)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.dist.tol))
, "3" = .testParam_notColnames(mat.PFG.dist.tol, c("nameDist", "PFG", "strategy_tol"))
, "5" = .testParam_notColnames(mat.PFG.dist.tol, c("nameDist", "PFG", "responseStage"
, "killedIndiv", "resproutIndiv"))
, "6" = .testParam_notColnames(mat.PFG.dist.tol, c("nameDist", "PFG", "responseStage"
, "breakAge", "resproutAge"
, "strategy_tol"))
, "7" = .testParam_notColnames(mat.PFG.dist.tol, c("nameDist", "PFG", "responseStage"
, "breakAge", "resproutAge"
, "killedIndiv", "resproutIndiv"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.dist.tol", c("nameDist", "PFG", "responseStage", "(breakAge)", "(resproutAge)"
, "killedIndiv", "resproutIndiv", "(strategy_tol)"))
}
}
mat.PFG.dist.tol$nameDist = as.character(mat.PFG.dist.tol$nameDist)
.testParam_notChar.m("mat.PFG.dist.tol$nameDist", mat.PFG.dist.tol$nameDist)
mat.PFG.dist.tol$PFG = as.character(mat.PFG.dist.tol$PFG)
.testParam_notChar.m("mat.PFG.dist.tol$PFG", mat.PFG.dist.tol$PFG)
if (!is.null(mat.PFG.dist))
{
.testParam_notInValues.m("mat.PFG.dist.tol$PFG", mat.PFG.dist.tol$PFG, c("H", "C", "P", mat.PFG.dist$PFG))
}
if (sum(colnames(mat.PFG.dist.tol) == "responseStage") == 1)
{
.testParam_NAvalues.m("mat.PFG.dist.tol$responseStage", mat.PFG.dist.tol$responseStage)
.testParam_notInValues.m("mat.PFG.dist.tol$responseStage", mat.PFG.dist.tol$responseStage, 0:10)
if (sum(colnames(mat.PFG.dist.tol) == "breakAge") == 1)
{
.testParam_notNum.m("mat.PFG.dist.tol$breakAge", mat.PFG.dist.tol$breakAge)
.testParam_NAvalues.m("mat.PFG.dist.tol$breakAge", mat.PFG.dist.tol$breakAge)
.testParam_notNum.m("mat.PFG.dist.tol$resproutAge", mat.PFG.dist.tol$resproutAge)
.testParam_NAvalues.m("mat.PFG.dist.tol$resproutAge", mat.PFG.dist.tol$resproutAge)
}
if (sum(colnames(mat.PFG.dist.tol) == "killedIndiv") == 1)
{
.testParam_NAvalues.m("mat.PFG.dist.tol$killedIndiv", mat.PFG.dist.tol$killedIndiv)
.testParam_notInValues.m("mat.PFG.dist.tol$killedIndiv", mat.PFG.dist.tol$killedIndiv, 0:10)
.testParam_NAvalues.m("mat.PFG.dist.tol$resproutIndiv", mat.PFG.dist.tol$resproutIndiv)
.testParam_notInValues.m("mat.PFG.dist.tol$resproutIndiv", mat.PFG.dist.tol$resproutIndiv, 0:10)
}
}
if (sum(colnames(mat.PFG.dist.tol) == "strategy_tol") == 1)
{
mat.PFG.dist.tol$strategy_tol = as.character(mat.PFG.dist.tol$strategy_tol)
.testParam_notInValues.m("mat.PFG.dist.tol$strategy_tol", mat.PFG.dist.tol$strategy_tol
, c("indifferent", "mowing_herbs", "mowing_trees"
, "grazing_herbs_1", "grazing_herbs_2", "grazing_herbs_3"
, "grazing_trees_1", "grazing_trees_2", "grazing_trees_3"))
}
}
## CHECK parameter mat.PFG.drought
if (.testParam_notDf(mat.PFG.drought))
{
.stopMessage_beDataframe("mat.PFG.drought")
} else
{
if (nrow(mat.PFG.drought) == 0 || !(ncol(mat.PFG.drought) %in% c(4, 6)))
{
.stopMessage_numRowCol("mat.PFG.drought", c("PFG", "threshold_moderate"
, "threshold_severe", "counter_recovery"
, "counter_sens", "counter_cum"
, "(strategy_drou)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.drought))
, "4" = .testParam_notColnames(mat.PFG.drought
, c("PFG", "threshold_moderate"
, "threshold_severe","strategy_drou"))
, "6" = .testParam_notColnames(mat.PFG.drought
, c("PFG", "threshold_moderate"
, "threshold_severe", "counter_recovery"
, "counter_sens", "counter_cum"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.drought", c("PFG", "threshold_moderate"
, "threshold_severe", "counter_recovery"
, "counter_sens", "counter_cum"
, "(strategy_drou)"))
}
}
mat.PFG.drought$PFG = as.character(mat.PFG.drought$PFG)
.testParam_notChar.m("mat.PFG.drought$PFG", mat.PFG.drought$PFG)
.testParam_notNum.m("mat.PFG.drought$threshold_moderate", mat.PFG.drought$threshold_moderate)
.testParam_NAvalues.m("mat.PFG.drought$threshold_moderate", mat.PFG.drought$threshold_moderate)
.testParam_notNum.m("mat.PFG.drought$threshold_severe", mat.PFG.drought$threshold_severe)
.testParam_NAvalues.m("mat.PFG.drought$threshold_severe", mat.PFG.drought$threshold_severe)
if (sum(mat.PFG.drought$threshold_severe > mat.PFG.drought$threshold_moderate) > 0){
stop(paste0("Wrong type of data!\n `mat.PFG.drought$threshold_severe` must contain "
, "values equal or inferior to `mat.PFG.drought$threshold_moderate`"))
}
if (ncol(mat.PFG.drought) == 6)
{
.testParam_NAvalues.m("mat.PFG.drought$counter_recovery", mat.PFG.drought$counter_recovery)
.testParam_notInteger.m("mat.PFG.drought$counter_recovery", mat.PFG.drought$counter_recovery)
.testParam_NAvalues.m("mat.PFG.drought$counter_sens", mat.PFG.drought$counter_sens)
.testParam_notInteger.m("mat.PFG.drought$counter_sens", mat.PFG.drought$counter_sens)
.testParam_NAvalues.m("mat.PFG.drought$counter_cum", mat.PFG.drought$counter_cum)
.testParam_notInteger.m("mat.PFG.drought$counter_cum", mat.PFG.drought$counter_cum)
if (sum(mat.PFG.drought$counter_sens > mat.PFG.drought$counter_cum) > 0){
stop(paste0("Wrong type of data!\n `mat.PFG.drought$counter_sens` must contain "
, "values equal or inferior to `mat.PFG.drought$counter_cum`"))
}
}
if (sum(colnames(mat.PFG.drought) == "strategy_drou") == 1)
{
mat.PFG.drought$strategy_drou = as.character(mat.PFG.drought$strategy_drou)
.testParam_notInValues.m("mat.PFG.drought$strategy_drou", mat.PFG.drought$strategy_drou
, c("herbs", "chamaephytes", "trees_shrubs"))
}
}
## CHECK parameter mat.PFG.drought.tol
if (.testParam_notDf(mat.PFG.drought.tol))
{
.stopMessage_beDataframe("mat.PFG.drought.tol")
} else
{
if (nrow(mat.PFG.drought.tol) == 0 || !(ncol(mat.PFG.drought.tol) %in% c(3, 5, 6, 7)))
{
.stopMessage_numRowCol("mat.PFG.drought.tol", c("nameDist", "PFG", "responseStage", "(breakAge)", "(resproutAge)"
, "killedIndiv", "resproutIndiv", "(strategy_tol)"))
} else
{
notCorrect = switch(as.character(ncol(mat.PFG.drought.tol))
, "3" = .testParam_notColnames(mat.PFG.drought.tol, c("nameDist", "PFG", "strategy_tol"))
, "5" = .testParam_notColnames(mat.PFG.drought.tol, c("nameDist", "PFG", "responseStage"
, "killedIndiv", "resproutIndiv"))
, "6" = .testParam_notColnames(mat.PFG.drought.tol, c("nameDist", "PFG", "responseStage"
, "breakAge", "resproutAge"
, "strategy_tol"))
, "7" = .testParam_notColnames(mat.PFG.drought.tol, c("nameDist", "PFG", "responseStage"
, "breakAge", "resproutAge"
, "killedIndiv", "resproutIndiv"))
, TRUE)
if (notCorrect){
.stopMessage_columnNames("mat.PFG.drought.tol", c("nameDist", "PFG", "responseStage", "(breakAge)", "(resproutAge)"
, "killedIndiv", "resproutIndiv", "(strategy_tol)"))
}
}
mat.PFG.drought.tol$nameDist = as.character(mat.PFG.drought.tol$nameDist)
.testParam_notInValues.m("mat.PFG.drought.tol$nameDist", mat.PFG.drought.tol$nameDist, c("immediate", "delayed"))
mat.PFG.drought.tol$PFG = as.character(mat.PFG.drought.tol$PFG)
.testParam_notChar.m("mat.PFG.drought.tol$PFG", mat.PFG.drought.tol$PFG)
if (!is.null(mat.PFG.dist))
{
.testParam_notInValues.m("mat.PFG.drought.tol$PFG", mat.PFG.drought.tol$PFG, c("H", "C", "P", mat.PFG.dist$PFG))
}
if (sum(colnames(mat.PFG.drought.tol) == "responseStage") == 1)
{
.testParam_NAvalues.m("mat.PFG.drought.tol$responseStage", mat.PFG.drought.tol$responseStage)
.testParam_notInValues.m("mat.PFG.drought.tol$responseStage", mat.PFG.drought.tol$responseStage, 0:10)
if (sum(colnames(mat.PFG.drought.tol) == "breakAge") == 1)
{
.testParam_notNum.m("mat.PFG.drought.tol$breakAge", mat.PFG.drought.tol$breakAge)
.testParam_NAvalues.m("mat.PFG.drought.tol$breakAge", mat.PFG.drought.tol$breakAge)
.testParam_notNum.m("mat.PFG.drought.tol$resproutAge", mat.PFG.drought.tol$resproutAge)
.testParam_NAvalues.m("mat.PFG.drought.tol$resproutAge", mat.PFG.drought.tol$resproutAge)
}
if (sum(colnames(mat.PFG.drought.tol) == "killedIndiv") == 1)
{
.testParam_NAvalues.m("mat.PFG.drought.tol$killedIndiv", mat.PFG.drought.tol$killedIndiv)
.testParam_notInValues.m("mat.PFG.drought.tol$killedIndiv", mat.PFG.drought.tol$killedIndiv, 0:10)
.testParam_NAvalues.m("mat.PFG.drought.tol$resproutIndiv", mat.PFG.drought.tol$resproutIndiv)
.testParam_notInValues.m("mat.PFG.drought.tol$resproutIndiv", mat.PFG.drought.tol$resproutIndiv, 0:10)
}
}
if (sum(colnames(mat.PFG.drought.tol) == "strategy_tol") == 1)
{
mat.PFG.drought.tol$strategy_tol = as.character(mat.PFG.drought.tol$strategy_tol)
.testParam_notInValues.m("mat.PFG.drought.tol$strategy_tol", mat.PFG.drought.tol$strategy_tol
, c("herbs_cham_1", "herbs_cham_2", "herbs_cham_3"
, "trees_1", "trees_2", "trees_3"))
}
}
## CHECK parameter rasters
names.rasters = c("name.MASK", "name.DIST", "name.DROUGHT", "name.FIRE", "name.ELEVATION", "name.SLOPE")
.testParam_notInValues.m(names(rasters), names.rasters)
if (length(rasters) != 6)
{
for (name.i in names.rasters)
{
if (!(name.i %in% names(rasters)))
{
rasters[name.i] = NA
}
}
}
rasters = rasters[names.rasters]
## CHECK parameter multipleSet
names.multipleSet = c("name.simulation.1", "name.simulation.2", "file.simulParam.1", "file.simulParam.2"
, "no_simulations", "opt.percent_maxAbund", "opt.percent_seeding", "opt.percent_light"
, "opt.percent_soil", "do.max_abund_low", "do.max_abund_medium", "do.max_abund_high"
, "do.seeding_duration", "do.seeding_timestep", "do.seeding_input", "do.no_strata"
, "do.LIGHT.thresh_medium", "do.LIGHT.thresh_low", "do.SOIL.init", "do.SOIL.retention"
, "do.DISPERSAL.mode", "do.HABSUIT.mode")
.testParam_notInValues.m(names(multipleSet), names.multipleSet)
if (length(multipleSet) != 22)
{
for (name.i in names.multipleSet)
{
if (!(name.i %in% names(multipleSet)))
{
multipleSet[name.i] = NA
}
}
}
multipleSet = multipleSet[names.multipleSet]
if (length(which(is.na(multipleSet))) < 22)
{
## CHECK parameter name.simulation.1
.testParam_existFolder(multipleSet['name.simulation.1'], "PARAM_SIMUL/")
.testParam_existFolder(multipleSet['name.simulation.1'], "DATA/GLOBAL_PARAMETERS/")
multipleSet['name.simulation.1'] = sub("/$", "", multipleSet['name.simulation.1'])
## CHECK parameter file.simulParam.1
if (.testParam_notChar(multipleSet['file.simulParam.1']))
{
abs.simulParams = list.files(paste0(multipleSet['name.simulation.1'], "/PARAM_SIMUL/"))
if (length(abs.simulParams) == 0)
{
stop(paste0("Missing data!\n The folder ", multipleSet['name.simulation.1']
, "/PARAM_SIMUL/ does not contain adequate files"))
} else
{
stop(paste0("Missing data!\n The folder "
, multipleSet['name.simulation.1']
, "/PARAM_SIMUL/ contain one or more files.\n"
, "You must select one with the `file.simulParam.1` parameter "))
}
} else
{
multipleSet['file.simulParam.1'] = basename(multipleSet['file.simulParam.1'])
multipleSet['file.simulParam.1'] = paste0(multipleSet['name.simulation.1'], "/PARAM_SIMUL/", multipleSet['file.simulParam.1'])
.testParam_existFile(multipleSet['file.simulParam.1'])
scenario1 = TRUE
}
## CHECK parameter file.simulParam.2
if (!.testParam_notChar(multipleSet['file.simulParam.2']))
{
if (!.testParam_notChar(multipleSet['name.simulation.2']))
{
.testParam_existFolder(multipleSet['name.simulation.2'], "PARAM_SIMUL/")
.testParam_existFolder(multipleSet['name.simulation.2'], "DATA/GLOBAL_PARAMETERS/")
multipleSet['name.simulation.2'] = sub("/$", "", multipleSet['name.simulation.2'])
multipleSet['file.simulParam.2'] = basename(multipleSet['file.simulParam.2'])
multipleSet['file.simulParam.2'] = paste0(multipleSet['name.simulation.2'], "/PARAM_SIMUL/", multipleSet['file.simulParam.2'])
.testParam_existFile(multipleSet['file.simulParam.2'])
if (multipleSet['name.simulation.1'] == multipleSet['name.simulation.2'] &&
multipleSet['file.simulParam.1'] == multipleSet['file.simulParam.2'])
{
stop(paste0("You must select different simulation parameter files !"))
}
scenario1 = FALSE
} else
{
multipleSet['file.simulParam.2'] = basename(multipleSet['file.simulParam.2'])
multipleSet['file.simulParam.2'] = paste0(multipleSet['name.simulation.1']
, "/PARAM_SIMUL/", multipleSet['file.simulParam.2'])
.testParam_existFile(multipleSet['file.simulParam.2'])
if (multipleSet['file.simulParam.1'] == multipleSet['file.simulParam.2'])
{
stop(paste0("You must select different simulation parameter files !"))
}
scenario1 = FALSE
}
}
## CHECK parameter no_simulations
.testParam_notInteger.m("multipleSet['no_simulations']", multipleSet['no_simulations'])
.testParam_notRound.m("multipleSet['no_simulations']", multipleSet['no_simulations'])
## CHECK parameters scenario1
if (scenario1)
{
.testParam_notNum.m("multipleSet['opt.percent_maxAbund']", multipleSet['opt.percent_maxAbund'])
.testParam_notBetween.m("multipleSet['opt.percent_maxAbund']", multipleSet['opt.percent_maxAbund'], 0, 1)
.testParam_notNum.m("multipleSet['opt.percent_seeding']", multipleSet['opt.percent_seeding'])
.testParam_notBetween.m("multipleSet['opt.percent_seeding']", multipleSet['opt.percent_seeding'], 0, 1)
.testParam_notNum.m("multipleSet['opt.percent_light']", multipleSet['opt.percent_light'])
.testParam_notBetween.m("multipleSet['opt.percent_light']", multipleSet['opt.percent_light'], 0, 1)
.testParam_notNum.m("multipleSet['opt.percent_soil']", multipleSet['opt.percent_soil'])
.testParam_notBetween.m("multipleSet['opt.percent_soil']", multipleSet['opt.percent_soil'], 0, 1)
}
## CHECK parameters do.[...]
.testParam_notInValues.m("multipleSet['do.max_abund_low']", multipleSet['do.max_abund_low'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.max_abund_medium']", multipleSet['do.max_abund_medium'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.max_abund_high']", multipleSet['do.max_abund_high'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.seeding_duration']", multipleSet['do.seeding_duration'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.seeding_timestep']", multipleSet['do.seeding_timestep'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.seeding_input']", multipleSet['do.seeding_input'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.no_strata']", multipleSet['do.no_strata'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.LIGHT.thresh_medium']", multipleSet['do.LIGHT.thresh_medium'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.LIGHT.thresh_low']", multipleSet['do.LIGHT.thresh_low'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.SOIL.init']", multipleSet['do.SOIL.init'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.SOIL.retention']", multipleSet['do.SOIL.retention'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.DISPERSAL.mode']", multipleSet['do.DISPERSAL.mode'], c(0, 1))
.testParam_notInValues.m("multipleSet['do.HABSUIT.mode']", multipleSet['do.HABSUIT.mode'], c(0, 1))
}
cat("\n\n #------------------------------------------------------------#")
cat("\n # SAVE_FATE.step2_parameters")
cat("\n #------------------------------------------------------------# \n")
# {
# cat("\n ---------- INFORMATION : SAMPLING \n")
# cat("\n Number of releves : ", MO.no_releves)
# cat("\n Number of sites : ", MO.no_sites)
# cat("\n Number of species : ", MO.no_species)
# cat("\n")
# }
#############################################################################
results = list(name.dataset
, name.simulation
, strata.limits
, mat.PFG.succ
, mat.PFG.light
, mat.PFG.light.tol
, mat.PFG.soil
, mat.PFG.soil.tol
, mat.PFG.disp
, mat.PFG.dist
, mat.PFG.dist.tol
, mat.PFG.drought
, mat.PFG.drought.tol
, rasters
, multipleSet
, name.arch_data
, name.arch_paramsimul)
name.dataset = paste0("FATE_dataset_", name.dataset, "_step2_parameters")
assign(name.dataset, results)
save(name.dataset, file = paste0(name.dataset, ".RData"))
#############################################################################
cat("\n> Done!\n")
return(results)
}
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