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#!/usr/bin/Rscript
library(ggplot2)
data = read.csv("data/predictions-measurements.csv",header=T)
data$SMILES <- reorder(data$SMILES,data$LOAEL)
img <- ggplot(data, aes(SMILES,LOAEL,ymin = min(LOAEL), ymax=max(LOAEL),color=Origin))
img <- img + ylab('-log(LOAEL mg/kg_bw/day)') + xlab('Compound') + theme(axis.text.x = element_blank()) + theme(legend.title=element_blank())
img <- img + geom_point() + scale_color_manual(values=c("#000000", "#00BFC4", "#F8766D"))
ggsave(file='figures/test-prediction.pdf', plot=img,width=12, height=8)
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