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#!/usr/bin/env Rscript
library(ggplot2)
args = commandArgs(trailingOnly=TRUE)
freq = read.csv(args[1],header=T,quote="'",sep=",")
models = factor(freq$Model,levels=rev(c(
"MP2D-LAZAR-HC",
"MP2D-LAZAR-ALL",
"MP2D-RF",
"MP2D-LR-sgd",
"MP2D-LR-scikit",
"MP2D-NN",
"MP2D-SVM",
"CDK-LAZAR-HC",
"CDK-LAZAR-ALL",
"CDK-RF",
"CDK-LR-sgd",
"CDK-LR-scikit",
"CDK-NN",
"CDK-SVM"
)))
colors <- c(
"MP2D-LAZAR-HC" = "#0072B2",
"MP2D-LAZAR-ALL" = "#56B4E9",
"MP2D-RF" = "#009E73",
"MP2D-LR-sgd" = "#F0E442",
"MP2D-LR-scikit" = "#D55E00",
"MP2D-NN" = "#CC79A7",
"MP2D-SVM" = "#E69F00",
"CDK-LAZAR-HC" = "#0072B2",
"CDK-LAZAR-ALL" = "#56B4E9",
"CDK-RF" = "#009E73",
"CDK-LR-sgd" = "#F0E442",
"CDK-LR-scikit" = "#D55E00",
"CDK-NN" = "#CC79A7",
"CDK-SVM" = "#E69F00"
)
ggplot(freq,aes(Frequency,models,fill=models)) +
geom_bar(stat="identity",show.legend=F) +
xlab("% mutagenic") +
ylab(element_blank()) +
xlim(c(0,100)) +
scale_fill_manual(values = colors) +
facet_wrap(~PA.Group) +
theme_minimal() +
ggsave(args[2])
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