tor_multipath_voip/r/tor_owd.R
2019-10-15 14:22:45 +02:00

32 lines
1.4 KiB
R

library(ggplot2)
library(sqldf)
library(dplyr)
library(cowplot)
tor_owd <- read.csv("tor_owd.csv")
for (run_id in c(0:39)) {
print(run_id)
sel_owd <- filter(tor_owd, measure_type != "delta", measure_type != 'd_client_server', measure_type != 'd_server_client', measure_type != 'd_server_client_abs', measure_type != 'd_client_server_abs', run == paste("./out/nBV7DWLpj8WA6Be3-",run_id,sep=""))
ggplot(data = sel_owd, aes(x = packet_id, y=latency_ms, color=measure_type)) +
coord_cartesian(ylim=c(0,600)) +
geom_line() +
theme_classic() +
ggsave(paste("tor_owd_",run_id,".png", sep = ""), dpi=150, dev='png', height=18, width=32, units="cm")
}
ggplot(data = sqldf("select * from tor_owd where measure_type='delta_abs'"), aes(x=latency_ms)) +
stat_ecdf(pad = FALSE) +
coord_cartesian(xlim = c(0,500)) +
theme_classic()
ggplot(data = sqldf("select * from tor_owd where measure_type='d_client_server_abs' or measure_type='d_server_client_abs'"), aes(x=latency_ms)) +
stat_ecdf(pad = FALSE) +
coord_cartesian(xlim = c(0,500)) +
theme_classic()
ggplot(data = sqldf("select * from tor_owd where packet_id < 500 and run = './out/nBV7DWLpj8WA6Be3-16' and (measure_type='d_client_server' or measure_type='d_server_client')"), aes(y=latency_ms,x=packet_id,color=measure_type)) +
geom_line() +
coord_cartesian(ylim=c(-250,250)) +
geom_point() +
theme_classic()