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-rw-r--r--crossvalidation-plots.R14
1 files changed, 11 insertions, 3 deletions
diff --git a/crossvalidation-plots.R b/crossvalidation-plots.R
index 7b04984..2bc259f 100644
--- a/crossvalidation-plots.R
+++ b/crossvalidation-plots.R
@@ -1,7 +1,15 @@
library(ggplot2)
+library(grid)
+library(gridExtra)
-combined = read.csv("data/combined-cv.csv",header=T)
+t0 = read.csv("data/training-cv-0.csv",header=T)
+t1 = read.csv("data/training-cv-1.csv",header=T)
+t2 = read.csv("data/training-cv-2.csv",header=T)
-p = qplot(-log10(LOAEL_predicted),-log10(LOAEL_measured_median),data=combined,xlab="-log10(LOAEL predicted)",ylab="-log10(LOAEL measured median)",main="Combined") + geom_point() + geom_abline(intercept=0.0) + xlim(-2,4.5) + ylim(-2,4.5)
+p0 = qplot(-log10(LOAEL_predicted),-log10(LOAEL_measured_median),data=t0,xlab="-log10(LOAEL predicted)",ylab="-log10(LOAEL measured median)",main="Combined") + geom_point() + geom_abline(intercept=0.0) + xlim(-2,4.5) + ylim(-2,4.5)
+p1 = qplot(-log10(LOAEL_predicted),-log10(LOAEL_measured_median),data=t1,xlab="-log10(LOAEL predicted)",ylab="-log10(LOAEL measured median)",main="Combined") + geom_point() + geom_abline(intercept=0.0) + xlim(-2,4.5) + ylim(-2,4.5)
+p2 = qplot(-log10(LOAEL_predicted),-log10(LOAEL_measured_median),data=t2,xlab="-log10(LOAEL predicted)",ylab="-log10(LOAEL measured median)",main="Combined") + geom_point() + geom_abline(intercept=0.0) + xlim(-2,4.5) + ylim(-2,4.5)
-ggsave(file='figure/crossvalidation.pdf', plot=p)
+pdf('figure/crossvalidation.pdf')
+grid.arrange(p0,p1,p2,ncol=2)
+dev.off()