ce_montecarlo_weights.R

#ce_montecarlo_weights

library(dplyr)
library(readr)

setwd("C:/Users/TimBender/Documents/R/ncceh/projects/ce_assessment")

runit <- 0
while(runit < 500){
  runit <- runit + 1
  
  rm(list=ls()[!ls() %in% c("runit")]);cat('\f');gc()
  
  
  # fingerprints----
  sim.fingerprint <- openssl::md5(as.character(Sys.time())) %>%
    substr(., nchar(.) - 7, nchar(.))
  
  git.raw.md5 <- read_file("https://raw.githubusercontent.com/timbender-ncceh/ncceh_data_tools/main/ce_assessment_micro.R") %>%
    md5
  gc()
  
  # set weights----
  override.weights <- T
  
  weight.min <- 1
  weight.max <- 10
  
  mc.weights <- read_csv("https://raw.githubusercontent.com/timbender-ncceh/ce_assessment/main/MASTER_cw_qshortname.csv")
  mc.weights$weight <- sample(weight.min:weight.max, 
                              size = nrow(mc.weights), 
                              replace = T) #%>% log()
  
  for(i in 1:nrow(mc.weights)){
    assign(x = mc.weights$short_name[i], 
           value = mc.weights$weight[i])
  }
  
  # run model----
  
  source("https://raw.githubusercontent.com/timbender-ncceh/ce_assessment/main/ce_assessment_micro2.R")
  rm(override.weights)
}