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#!/usr/bin/env Rscript
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# To use this to graph some benchmarks, install R (http://www.r-project.org/)
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# and ggplot (http://ggplot2.org/).
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#
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# Once installed, you can generate some CSV output with a command like this:
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#
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# $ OUTPUT_FORMAT=csv node benchmark/http/client-request-body.js > data.csv
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# $ ./benchmark/plot_csv.R data.csv data.png bytes type
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#
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# Where the 3rd argument to this script is the graph's X coordinate, the 4th is
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# how the output is grouped, and the Y coordinate defaults to result.
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library(methods)
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library(ggplot2)
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# get info from arguments
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args <- commandArgs(TRUE)
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csvFilename <- args[1]
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graphFilename <- args[2]
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xCoordinate <- args[3]
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groupBy <- args[4]
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# read data
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data <- read.csv(file = csvFilename, head = TRUE)
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# plot and save
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plot <- ggplot(data = data, aes_string(x = xCoordinate, y = 'result', col = groupBy)) +
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geom_point(size = 5) +
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ggtitle(data$filename)
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png(filename = graphFilename, width = 560, height = 480, units = 'px')
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print(plot)
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graphics.off()
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cat(paste('Saved to', graphFilename, '\n'))
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