61 lines
1.5 KiB
R
61 lines
1.5 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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link_info <- read.csv("../res/tmp_graph/u.txt")
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ggplot(data=link_info, aes(x=timestamp, y=link, color=speed)) +
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#geom_line() +
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geom_point() +
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theme_classic()
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xx <- read.csv("../res/tmp_light/a.csv")
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xx2 <- sqldf("select packet_id,1.0 * MIN(latency) / 1000.0 as lat,way from xx group by packet_id,way")
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ggplot(data=xx2, aes(x=packet_id, y=lat, color=way)) +
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geom_line() +
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coord_cartesian(ylim=c(0,2000)) +
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#geom_point() +
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theme_classic()
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xx4 <- sqldf("select packet_id,1.0 * latency / 1000.0 as lat,way from xx where flag = 0")
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ggplot(data=xx4, aes(x=packet_id, y=lat, color=way)) +
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geom_line() +
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coord_cartesian(ylim=c(0,1000)) +
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#geom_point() +
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theme_classic()
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xx5 <- sqldf("select packet_id,1.0 * latency / 1000.0 as lat,way from xx where flag = 1")
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ggplot(data=xx5, aes(x=packet_id, y=lat, color=way)) +
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geom_line() +
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coord_cartesian(ylim=c(0,1000)) +
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#geom_point() +
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theme_classic()
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prepros <- sqldf(
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"select
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r.packet_id,
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r.way,
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r.lat,
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s.flag
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from
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(select
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packet_id,
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way,
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min(latency) as lat
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from xx
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group by packet_id,way) as r,
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xx as s
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where
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s.packet_id = r.packet_id and
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s.way = r.way and
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r.lat = s.latency")
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xx3 <- sqldf("select packet_id,1.0 * latency / 1000.0 as lat,flag,way from xx")
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xx3$flag <- factor(xx3$flag)
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ggplot(data=xx3, aes(x=lat, group=flag, color=flag)) +
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stat_ecdf(pad = FALSE) +
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coord_cartesian(xlim=c(0,1200)) +
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theme_classic()
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