## code to prepare `WAF_allrep` dataset goes here
library(tidyverse)
options(scipen = 999)
WAF_allrep<-readRDS('C:/Users/Jonat/Dropbox (MGC)/NZX000550 MPI Wood Availability Forecasts/Working Files/RCode/dashboard_development/app_data/df_MPI_WAF_2020_allrep_out.rds')
WAF_allrep<-WAF_allrep %>%
filter(VariableName == 'oTRV', WSR == 'Marlborough', Species == 'Radiata_pine', Ownership != "NA",Action == "Clearfell", Scenario == 'S1')
usethis::use_data(WAF_allrep, overwrite = TRUE)
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