78 lines
2.3 KiB
R
78 lines
2.3 KiB
R
library(ggplot2)
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library(sqldf)
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library(plyr)
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library(cowplot)
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cellssec <- c("1","2","10","20")
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tor_bw <- read.csv("tor_bw_2.csv")
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tor_bw <- sqldf("select run,conf,latency, CAST(latency as real) / 1000. as lat_ms from tor_bw")
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tor_bw$conf <- factor(
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mapvalues(tor_bw$conf, c(0,1,2,3), cellssec),
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levels = cellssec,
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ordered = TRUE)
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gbw1 <- ggplot(data = tor_bw, aes(x = conf, y=lat_ms)) +
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geom_boxplot() +
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ylim(0,1000) +
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ylab("latency (in ms)") +
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xlab("cells / second") +
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theme_minimal()
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gbw2 <- ggplot(data = tor_bw, aes(x = conf, y=lat_ms)) +
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geom_boxplot() +
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scale_y_log10() +
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ylab("latency (in ms)") +
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xlab("cells / second") +
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theme_minimal()
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new_values <- c("1","2","3","4","5","6","7","8","∞")
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tor_guards <- read.csv("tor_guards.csv")
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tor_guards <- sqldf("select run,conf,latency, CAST(latency as real) / 1000. as lat_ms from tor_guards")
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tor_guards$conf <- factor(
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mapvalues(tor_guards$conf, c(0,1,2,3,4,5,6,7,8), new_values),
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levels = new_values,
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ordered = TRUE)
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gguard1 <- ggplot(data = tor_guards, aes(x = conf, y=lat_ms)) +
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geom_boxplot() +
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ylim(0,1000) +
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ylab("latency (in ms)") +
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xlab("guards") +
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theme_minimal()
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gguard2 <- ggplot(data = tor_guards, aes(x = conf, y=lat_ms)) +
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geom_boxplot() +
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scale_y_log10() +
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ylab("latency (in ms)") +
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xlab("guards") +
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theme_minimal()
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relay_count <- c("6","4","3")
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tor_relays <- read.csv("tor_relays.csv")
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tor_relays <- sqldf("select run,conf,latency, CAST(latency as real) / 1000. as lat_ms from tor_relays")
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tor_relays$conf <- factor(
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mapvalues(tor_relays$conf, c(0,1,2), relay_count),
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levels = relay_count,
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ordered = TRUE)
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grelay1 <- ggplot(data = tor_relays, aes(x = conf, y=lat_ms)) +
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geom_boxplot() +
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ylim(0,1000) +
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#scale_y_log10() +
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ylab("latency (in ms)") +
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xlab("relay count") +
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theme_minimal()
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grelay2 <- ggplot(data = tor_relays, aes(x = conf, y=lat_ms)) +
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geom_boxplot() +
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scale_y_log10() +
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ylab("latency (in ms)") +
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xlab("relay count") +
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theme_minimal()
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t1 <- plot_grid(gbw1, gguard1, grelay1, labels = c('D', 'E', 'F'), nrow=1, rel_widths = c(5, 8, 4))
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t1 + ggsave("tor_latency_crop.png", dpi=300, dev='png', height=5, width=15, units="cm")
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t2 <- plot_grid(gbw2, gguard2, grelay2, labels = c('A', 'B', 'C'), nrow=1, rel_widths = c(5, 8, 4))
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t2 + ggsave("tor_latency_log.png", dpi=300, dev='png', height=5, width=15, units="cm")
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