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-rwxr-xr-xscripts/dataset-variability.R7
1 files changed, 3 insertions, 4 deletions
diff --git a/scripts/dataset-variability.R b/scripts/dataset-variability.R
index 65234a4..f663b65 100755
--- a/scripts/dataset-variability.R
+++ b/scripts/dataset-variability.R
@@ -3,6 +3,7 @@ library(ggplot2)
library(grid)
library(gridExtra)
+if (FALSE) {
m = read.csv("data/mazzatorta_log10.csv",header=T)
s = read.csv("data/swiss_log10.csv",header=T)
@@ -11,8 +12,6 @@ s.dupsmi = unique(s$SMILES[duplicated(s$SMILES)])
m.dup = m[m$SMILES %in% m.dupsmi,]
s.dup = s[s$SMILES %in% s.dupsmi,]
-#m.dup$LOAEL= -log10(m.dup$LOAEL)
-#s.dup$LOAEL= -log10(s.dup$LOAEL)
m.dup$SMILES <- reorder(m.dup$SMILES,m.dup$LOAEL)
s.dup$SMILES <- reorder(s.dup$SMILES,s.dup$LOAEL)
@@ -22,13 +21,13 @@ p2 <- ggplot(s.dup, aes(SMILES,LOAEL),ymin = min(LOAEL), ymax=max(LOAEL)) + ylab
#pdf('figure/dataset-variability.pdf')
#grid.arrange(p1,p2,ncol=1)
#dev.off()
+}
data <- read.csv("data/test_log10.csv",header=T)
-#data$LOAEL = -log(data$LOAEL)
data$SMILES <- reorder(data$SMILES,data$LOAEL)
img = ggplot(data,aes(SMILES,LOAEL,ymin = min(LOAEL), ymax=max(LOAEL),color=Dataset)) + geom_point()
img <- img + ylab('-log(LOAEL mg/kg_bw/day)') + xlab('Compound') + theme(axis.text.x = element_blank()) + theme(legend.title=element_blank())
img = img + scale_fill_discrete(breaks=c("Mazzatorta", "Both", "Swiss Federal Office"))
-img = img
+#img = img
ggsave(file='figures/dataset-variability.pdf', plot=img, width=12,height=8)