diff options
Diffstat (limited to 'paper/test-prediction-plot.R')
-rw-r--r-- | paper/test-prediction-plot.R | 15 |
1 files changed, 2 insertions, 13 deletions
diff --git a/paper/test-prediction-plot.R b/paper/test-prediction-plot.R index c43737f..d1d6acb 100644 --- a/paper/test-prediction-plot.R +++ b/paper/test-prediction-plot.R @@ -1,9 +1,5 @@ library(ggplot2) -library(grid) -library(gridExtra) -mazzatorta = read.csv("data/mazzatorta-test-predictions.csv",header=T) -swiss = read.csv("data/swiss-test-predictions.csv",header=T) combined = read.csv("data/combined-test-predictions.csv",header=T) test <- read.csv("data/test.csv",header=T) n = c("SMILES","LOAEL","Source") @@ -11,21 +7,14 @@ n = c("SMILES","LOAEL","Source") data = data.frame(factor(test$SMILES),test$LOAEL,factor(test$Dataset)) names(data) = n data$Type = "experimental" -maz = data.frame(factor(mazzatorta$SMILES),mazzatorta$LOAEL_predicted,factor(mazzatorta$Dataset)) -names(maz) = n -maz$Type = "predicted" -data = rbind(data,maz) -swi = data.frame(factor(swiss$SMILES),swiss$LOAEL_predicted,factor(swiss$Dataset)) -names(swi) = n -swi$Type = "predicted" -data = rbind(data,swi) comb = data.frame(factor(combined$SMILES),combined$LOAEL_predicted,factor(combined$Dataset)) names(comb) = n comb$Type = "predicted" data = rbind(data,comb) data$LOAEL = -log(data$LOAEL) data$SMILES <- reorder(data$SMILES,data$LOAEL) -img <- ggplot(data, aes(SMILES,LOAEL,ymin = min(LOAEL), ymax=max(LOAEL),shape=Source,color=Type)) +#img <- ggplot(data, aes(SMILES,LOAEL,ymin = min(LOAEL), ymax=max(LOAEL),shape=Source,color=Type)) +img <- ggplot(data, aes(SMILES,LOAEL,ymin = min(LOAEL), ymax=max(LOAEL),color=Type)) img <- img + ylab('-log(LOAEL mg/kg_bw/day)') + xlab('Compound') + theme(axis.text.x = element_blank()) img <- img + geom_point() |