# Set same path for knitr evaluation as for interactive use
library(knitr)
opts_knit$set(root.dir = '../..')
opts_chunk$set(fig.width=10)

Load functions and scenario data

library(dplyr)
library(reshape2)
library(ggplot2)
# A list of data frames
load("enddata/GFPM_training_scenarios.RDATA")

World prices

prices <- trainingScenarios$worldPrices %>%
    filter(Scenario == "Base2011")
ggplot(data = prices, aes(x=Period, y=World_Price)) +
    geom_line() + 
    facet_wrap(~Product, scales="free_y")

# Export world prices to a csv file
# write.csv(prices, file="rawdata/worldpricesscenariobase2011.csv", 
#           row.names=FALSE)


paul4forest/GFPMoutput documentation built on May 24, 2019, 8:25 p.m.