loosely-coupled-dss/results/analysis.R

library("tidyverse")
library("knitr")

data=read_csv("results.csv")

final=data%>%group_by(simkey,wireless,wakeupfor)%>%summarize(wireless=first(wireless),sd=sd(energy),wakeupfor=first(wakeupfor),energy=mean(energy))

ggplot(final,aes(x=simkey,y=energy,fill=wireless))+
    geom_bar(stat="identity",position=position_dodge())+
    xlab("Scenarios")+ylab("Energy (J)")+
    geom_errorbar(position=position_dodge(0.9),aes(ymin=energy-sd, ymax=energy+sd),width=0.5,size=1.5,) +
    facet_wrap(~ wakeupfor) +
    geom_text(aes(label = round(energy+sd), y= energy+sd),vjust=-0.4,position=position_dodge(0.9))+
    geom_text(aes(label = round(energy-sd), y= energy-sd),vjust=+1.5,position=position_dodge(0.9))+
    geom_text(aes(label = round(energy), y= energy/2),fontface="bold",colour="white",position=position_dodge(0.9))

ggsave("figure.png")

tf="tables.org"
write("",file=tf)
for(wake in unique(data$wakeupfor)){
    write(kable(final%>%filter(wireless=="lora",wakeupfor==wake)),file=tf,append=TRUE)
    write("\n",file=tf,append=TRUE)
    write(kable(final%>%filter(wireless=="nbiot",wakeupfor==wake)),file=tf,append=TRUE)
    write("\n",file=tf,append=TRUE)
}