30 lines
1.2 KiB
R
30 lines
1.2 KiB
R
library(ggplot2)
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library(sqldf)
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library(plyr)
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library(dplyr)
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d <- read.csv("../../donar-res/tmp_light/boxplot1.csv")
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d$strat <- as.factor(d$strat)
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d$window <- as.factor(d$window)
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#d$decile <- factor(d$decile, levels = c("MIN", "D0.1", "D1", "D25", "D50", "D75", "D99", "D99.9"))
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d$decile <-factor(d$decile,levels=c("MAX", "D99.9", "D99", "D75", "D50", "D25", "D1", "D0.1", "MIN"))
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d <- d %>% mutate (lat = latency / 1000)
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ggplot(sqldf("select * from d where decile != 'MAX'") %>% arrange(decile), aes(x=strat:window,y=lat,group=decile,fill=decile)) +
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geom_bar(stat='identity', position='identity') +
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scale_fill_grey() +
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geom_hline(yintercept = 200) +
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geom_hline(yintercept = 400) +
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theme_classic()
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e <- read.csv("../../donar-res/tmp_light/boxplot2.csv")
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e$strat <- as.factor(e$strat)
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e$links <- as.factor(e$links)
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e$decile <-factor(e$decile,levels=c("MAX", "D99.9", "D99", "D75", "D50", "D25", "D1", "D0.1", "MIN"))
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e <- e %>% mutate (lat = latency / 1000)
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ggplot(sqldf("select * from e where decile != 'MAX'") %>% arrange(decile), aes(x=strat:links,y=lat,group=decile,fill=decile)) +
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geom_bar(stat='identity', position='identity') +
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scale_fill_grey() +
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geom_hline(yintercept = 200) +
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geom_hline(yintercept = 400) +
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theme_classic()
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