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-rw-r--r--paper/test-prediction-plot.R15
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()