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# @title A function to format data downloaded from a DB
#
# @description A function to format data downloaded from the ProfoundData database
# @param tmp a query object returned by the parseQuery function
# @param quality a boolean indicating whether the returned data will have with quality flag 0 and 1.
# @param collapse a boolean indicating whether the returned data should be a
# single dataframe (TRUE) or list of dataframes. Only needed for ISIMIP dataframe.
# @return a dataframe or list of dataframes
# @keywords ProfoundData
# @author Ramiro Silveyra Gonzalez
formatData <- function(tmp){
message(paste("Formatting data of ", tmp[["dataset"]], sep = ""))
# Columns of final output
# Replace -9999 by NA
if (!tmp[["dataset"]]== "SITES" ){
tmp[["query"]][ tmp[["query"]] == -9999] <- NA
# tmp[["query"]] <- tmp[["query"]][,colSums(is.na(tmp[["query"]]))<nrow(tmp[["query"]])]
#cat(tmp[["variables"]])
# if(!is.null(tmp[["variables"]]))
if(tmp[["dropVariables"]]) tmp[["query"]] <- dropVariables(tmp[["query"]], tmp[["variablesChecked"]], tmp[["dataset"]])
if (grepl("CLIMATE_ISIMIP2B", tmp[["dataset"]]) || grepl("CLIMATE_ISIMIP2BBLC", tmp[["dataset"]]) || grepl( "CLIMATE_ISIMIPFT", tmp[["dataset"]])){
data <- formatPROFOUND.ISIMIPDatasetConditions(tmp)
}else if (grepl("CLIMATE_ISIMIP2A", tmp[["dataset"]])){
data <- formatPROFOUND.ISIMIPDataset(tmp)
}else if (grepl("CO2_ISIMIP", tmp[["dataset"]]) || grepl("NDEPOSITION_ISIMIP2B", tmp[["dataset"]]) ){
data <- formatPROFOUND.ISIMIPConditions(tmp)
}else if (tmp[["dataset"]]== "FLUX" || tmp[["dataset"]]== "ATMOSPHERICHEATCONDUCTION" || tmp[["dataset"]]== "SOILTS" || tmp[["dataset"]]== "FLUXNET" || tmp[["dataset"]]== "METEOROLOGICAL"){
data <- formatPROFOUND.FLUXNET(tmp)
}else if (grepl("MODIS", tmp[["dataset"]])){
data <- formatPROFOUND.MODIS(tmp)
}else if (tmp[["dataset"]]== "SOIL"){
data <- formatPROFOUND.SOIL(tmp)
}else if (tmp[["dataset"]]== "CLIMATE_LOCAL"){
data <- formatPROFOUND.CLIMATELOCAL(tmp)
}else{
if(!class(tmp[["query"]])=="data.frame") stop(paste("Error when querying:", tmp[["item"]]), call. = FALSE)
tmp[["query"]] <- tmp[["query"]][,colSums(is.na(tmp[["query"]]))<nrow(tmp[["query"]])]
data <- tmp[["query"]]
}
}else if (tmp[["dataset"]]== "SITES" ){
if(!class(tmp[["query"]])=="data.frame") stop(paste("Error when querying:", tmp[["item"]]), call. = FALSE)
data <- tmp[["query"]]
}
return(data)
}
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