33 lines
1.4 KiB
R
33 lines
1.4 KiB
R
library(ggplot2)
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library(sqldf)
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library(dplyr)
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library(cowplot)
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tor_owd <- read.csv("tor_owd.csv")
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for (run_id in c(0:39)) {
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print(run_id)
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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=""))
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ggplot(data = sel_owd, aes(x = packet_id, y=latency_ms, color=measure_type)) +
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coord_cartesian(ylim=c(0,600)) +
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geom_line() +
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theme_classic() +
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ggsave(paste("tor_owd_",run_id,".png", sep = ""), dpi=150, dev='png', height=18, width=32, units="cm")
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}
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ggplot(data = sqldf("select * from tor_owd where measure_type='delta_abs'"), aes(x=latency_ms)) +
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stat_ecdf(pad = FALSE) +
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coord_cartesian(xlim = c(0,500)) +
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theme_classic()
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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)) +
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stat_ecdf(pad = FALSE) +
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coord_cartesian(xlim = c(0,500)) +
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theme_classic()
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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)) +
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geom_line() +
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coord_cartesian(ylim=c(-250,250)) +
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geom_point() +
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theme_classic()
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