mkplots.r

#!/usr/bin/env Rscript 

# either run with:
# Rscript mkplots.r <input-file>
#		or
# ./mkplots.r <input-file>

# load necessary libs
library(gridExtra)
library(ggplot2)
library(dplyr, warn.conflicts = FALSE)

# get name of file containing test results
args = commandArgs(trailingOnly=TRUE)
if (length(args) == 0)
	stop("usage: mkplots.r <input-file>.n", call.=FALSE)

# the following file format is expected (generated by the "perf" sample program)
# test      size    container  runtime       min        max       avg        var       dev
# emplace   1000    tuple         2007   1.82600   14.64000   2.00717    1.09070   1.04436
# emplace   1000    vector        6828   4.50000   26.77800   6.82821    3.29125   1.81418
# emplace   1000    map          44323  38.04700  126.24600  44.32317  202.59203  14.23348
# array     1000    vector         952   0.93900    1.26500   0.95235    0.00011   0.01070
# array     1000    tuple         1038   0.91300   42.53400   1.03869    2.46011   1.56847
# array     1000    map          33040  30.48500   66.82500  33.04009   12.10746   3.47958
# iterator  1000    tuple          652   0.62400   11.25200   0.65237    0.22584   0.47522
# iterator  1000    vector         684   0.62500   15.32300   0.68472    0.23855   0.48842
# iterator  1000    map           5908   5.72200   16.55800   5.90823    0.99323   0.99661
#   ...

# read test results into table
data <- read.table(args[1], header=TRUE, sep="\t")
# create runtime, min, max, avg, var, dev plots for each test and nicely arrange them into a 3x2 grid
for (t in unique(data$test)) {
	cat("generating",t,"plot...","\n")
	d <- data %>% filter(test == t)
	p1 <- ggplot(d, aes(x=size, y=log(runtime), colour=container)) + geom_line() + ggtitle("runtime")
	p2 <- ggplot(d, aes(x=size, y=log(min), colour=container)) + geom_line() + ggtitle("minimum")
	p3 <- ggplot(d, aes(x=size, y=log(max), colour=container)) + geom_line() + ggtitle("maximum")
	p4 <- ggplot(d, aes(x=size, y=log(avg), colour=container)) + geom_line() + ggtitle("mean")
	p5 <- ggplot(d, aes(x=size, y=log(var), colour=container)) + geom_line() + ggtitle("variance")
	p6 <- ggplot(d, aes(x=size, y=log(dev), colour=container)) + geom_line() + ggtitle("std-dev")
	png(paste(t, ".png", sep=""), width = 1200, height = 600);
	grid.arrange(p1, p2, p3, p4, p5, p6, ncol = 3);
}