nbody: mark the points with bad std
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@ -26,7 +26,13 @@ df$blocksPerCpuFactor = as.factor(df$blocksPerCpu)
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# Normalize the time by the median
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D=group_by(df, nblocks) %>%
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mutate(tnorm = time / median(time) - 1)
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mutate(tnorm = time / median(time) - 1) %>%
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mutate(bad = max(ifelse(abs(tnorm) >= 0.01, 1, 0)))
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D$bad = as.factor(D$bad)
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#D$bad = as.factor(ifelse(abs(D$tnorm) >= 0.01, 2,
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# ifelse(abs(D$tnorm) >= 0.005, 1, 0)))
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bs_unique = unique(df$nblocks)
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nbs=length(bs_unique)
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@ -42,13 +48,14 @@ png("box.png", width=w*ppi, height=h*ppi, res=ppi)
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#
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#
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# Create the plot with the normalized time vs nblocks
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p = ggplot(data=D, aes(x=blocksPerCpuFactor, y=tnorm)) +
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p = ggplot(data=D, aes(x=blocksPerCpuFactor, y=tnorm, color=bad)) +
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# Labels
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labs(x="Num blocks", y="Normalized time",
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title=sprintf("Nbody normalized time. Particles=%d", particles),
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subtitle=input_file) +
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# Center the title
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#theme(plot.title = element_text(hjust = 0.5)) +
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@ -57,18 +64,19 @@ p = ggplot(data=D, aes(x=blocksPerCpuFactor, y=tnorm)) +
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# Add the maximum allowed error lines
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geom_hline(yintercept=c(-0.01, 0.01),
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linetype="dashed", color="red") +
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linetype="dashed", color="gray") +
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# Draw boxplots
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geom_boxplot() +
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scale_color_manual(values=c("black", "brown")) +
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#scale_y_continuous(breaks = scales::pretty_breaks(n = 10)) +
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theme_bw() +
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theme(plot.subtitle=element_text(size=8)) +
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theme(legend.position = c(0.85, 0.85)) #+
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theme(legend.position = "none")
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#theme(legend.position = c(0.85, 0.85))
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