library(ggplot2) library(dplyr, warn.conflicts = FALSE) library(scales) library(jsonlite) library(viridis, warn.conflicts = FALSE) # Load the arguments (argv) args = commandArgs(trailingOnly=TRUE) if (length(args)>0) { input_file = args[1] } else { input_file = "input" } if (length(args)>1) { output = args[2] } else { output = "?" } df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>% jsonlite::flatten() %>% select(config.blocksize, config.gitBranch, config.particles, unit, time) %>% rename(blocksize=config.blocksize, particles=config.particles, branch=config.gitBranch) %>% mutate(blocksize = as.factor(blocksize)) %>% mutate(particles = as.factor(particles)) %>% mutate(branch = as.factor(branch)) %>% mutate(unit = as.factor(unit)) %>% group_by(unit) %>% mutate(median.time = median(time)) %>% mutate(normalized.time = time / median.time - 1) %>% mutate(log.median.time = log(median.time)) %>% ungroup() dpi = 300 h = 5 w = 5 # --------------------------------------------------------------------- p = ggplot(df, aes(x=blocksize, y=normalized.time, color=branch)) + geom_boxplot() + geom_hline(yintercept=c(-0.01, 0.01), linetype="dashed", color="red") + facet_wrap(~ branch) + theme_bw() + labs(x="Blocksize", y="Normalized Time", title="NBody Granularity: Normalized Time", subtitle=output) + theme(plot.subtitle=element_text(size=8)) + theme(legend.position="bottom") + theme(legend.text = element_text(size=7)) ggsave("normalized.time.png", plot=p, width=w, height=h, dpi=dpi) ggsave("normalized.time.pdf", plot=p, width=w, height=h, dpi=dpi) # --------------------------------------------------------------------- p = ggplot(df, aes(x=blocksize, y=time)) + geom_boxplot() + theme_bw() + labs(x="Blocksize", y="Time (s)", title="NBody Granularity: Time", subtitle=output) + theme(plot.subtitle=element_text(size=8)) + theme(legend.position="bottom") + theme(legend.text = element_text(size=7)) ggsave("time.png", plot=p, width=w, height=h, dpi=dpi) ggsave("time.pdf", plot=p, width=w, height=h, dpi=dpi)