commit 4e568b12507c575bd3c75f93e7c4aa97df38b4b1 Author: Karsten Loesing karsten.loesing@gmx.net Date: Mon Jul 23 14:17:42 2012 +0200

Add graphing code for #6443. --- task-6443/README | 7 +++++++ task-6443/cumulated-weights.R | 35 +++++++++++++++++++++++++++++++++++ 2 files changed, 42 insertions(+), 0 deletions(-)

diff --git a/task-6443/README b/task-6443/README new file mode 100644 index 0000000..5f10bdf --- /dev/null +++ b/task-6443/README @@ -0,0 +1,7 @@ +Graph cdf of probability of selecting among the biggest k exits (#6443) + +- Run #5755 code to produce cumulated-weights.csv and + inverse-cumulated-weights.csv and copy those files to this directory. + +- Plot CDFs using: R --slave -f cumulated-weights.R + diff --git a/task-6443/cumulated-weights.R b/task-6443/cumulated-weights.R new file mode 100755 index 0000000..50d0f4c --- /dev/null +++ b/task-6443/cumulated-weights.R @@ -0,0 +1,35 @@ +require(ggplot2) +require(scales) +require(reshape) + +c <- read.csv("cumulated-weights.csv") +c <- c[c$top_relays %in% c(1, 2, 3, 5, 10, 15, 20, 30, 50), ] +c <- aggregate(list(total_exit_probability = c$total_exit_probability), + by = list(date = as.Date(c$validafter, origin = "1970-01-01 00:00:00"), + top_relays = c$top_relays), FUN = mean) +ggplot(c, aes(x = date, y = total_exit_probability, + colour = as.factor(top_relays))) + +geom_line() + +scale_x_date(name = "") + +scale_y_continuous(name = "Total exit probability of top-x relays\n", + limits = c(0, 1), labels = percent) + +scale_colour_hue(name = "Top-x relays by exit probability") + +opts(title = paste("Probability of selecting one of the top-x relays for", + "the exit position\n"), legend.position = "bottom") +ggsave("exit-probability-cdf.png", width = 8, height = 5, dpi = 100) + +i <- read.csv("inverse-cumulated-weights.csv") +i <- i[i$total_exit_probability > 0.1 & i$total_exit_probability < 0.9, ] +i <- aggregate(list(top_relays = i$top_relays), + by = list(date = as.Date(i$validafter, origin = "1970-01-01 00:00:00"), + total_exit_probability = i$total_exit_probability), FUN = mean) +ggplot(i, aes(x = date, y = top_relays, + colour = paste(100 * total_exit_probability, "%", sep = ""))) + +geom_line() + +scale_x_date(name = "") + +scale_y_continuous(name = "Top-x relays by exit probability\n") + +scale_colour_hue(name = "Total exit probability of top-x relays") + +opts(title = paste("Number of relays making up the top-x for a given", + "total exit probability\n"), legend.position = "bottom") +ggsave("exit-probability-icdf.png", width = 8, height = 5, dpi = 100) +