bscpkgs/garlic/fig/creams/granularity.R
Rodrigo Arias Mallo 92cd88e365 fig: use the $out path in the subtitle
The input dataset is not enough to determine which script produced a
given plot.
2021-04-21 13:40:25 +02:00

84 lines
2.5 KiB
R

library(ggplot2)
library(dplyr, warn.conflicts = FALSE)
library(scales)
library(jsonlite)
library(viridis, warn.conflicts = FALSE)
library(stringr)
args = commandArgs(trailingOnly=TRUE)
# Set the input dataset if given in argv[1], or use "input" as default
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(unit,
config.nodes,
config.gitBranch,
config.granul,
config.iterations,
time,
total_time) %>%
rename(nodes=config.nodes,
gitBranch=config.gitBranch,
granul=config.granul,
iterations=config.iterations) %>%
# Remove the "garlic/" prefix from the gitBranch
mutate(branch = str_replace(gitBranch, "garlic/", "")) %>%
# Computations before converting to factor
mutate(time.iter = time / iterations) %>%
# Convert to factors
mutate(unit = as.factor(unit)) %>%
mutate(nodesFactor = as.factor(nodes)) %>%
mutate(gitBranch = as.factor(gitBranch)) %>%
mutate(granul = as.factor(granul)) %>%
mutate(iterations = as.factor(iterations)) %>%
mutate(unit = as.factor(unit)) %>%
# Compute median times
group_by(unit) %>%
mutate(median.time = median(time)) %>%
mutate(normalized.time = time / median.time - 1) %>%
mutate(log.median.time = log(median.time)) %>%
mutate(median.time.iter = median(time.iter)) %>%
ungroup()
dpi = 300
h = 6
w = 6
# ---------------------------------------------------------------------
p = ggplot(df, aes(x=granul, y=normalized.time)) +
geom_boxplot() +
geom_hline(yintercept=c(-0.01, 0.01), linetype="dashed", color="red") +
theme_bw() +
facet_wrap(branch ~ .) +
labs(x="granul", y="Normalized time",
title="Creams granularity: normalized time",
subtitle=output) +
theme(plot.subtitle=element_text(size=8))
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=granul, y=time, color=branch)) +
geom_point(shape=21, size=3) +
geom_line(aes(y=median.time, group=branch)) +
theme_bw() +
labs(x="granul", y="Time (s)", title="Creams granularity: time",
subtitle=output) +
theme(plot.subtitle=element_text(size=8))
ggsave("time.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("time.pdf", plot=p, width=w, height=h, dpi=dpi)