commit c0a18aab9092c57f107732cb2f97f034909e94d9 Author: Karsten Loesing karsten.loesing@gmx.net Date: Thu Dec 20 14:09:24 2018 +0100

Remove two unused R files from censorship detector.

Still part of #21588. --- src/main/R/clients/merge-clients.R | 19 ------------------- src/main/R/clients/userstats-detector.R | 18 ------------------ 2 files changed, 37 deletions(-)

diff --git a/src/main/R/clients/merge-clients.R b/src/main/R/clients/merge-clients.R deleted file mode 100644 index cce7e9d..0000000 --- a/src/main/R/clients/merge-clients.R +++ /dev/null @@ -1,19 +0,0 @@ -require(reshape) -r <- read.csv("userstats-ranges.csv", stringsAsFactors = FALSE) -r <- melt(r, id.vars = c("date", "country")) -r <- data.frame(date = r$date, node = "relay", country = r$country, - transport = "", version = "", - variable = ifelse(r$variable == "maxusers", "upper", "lower"), - value = floor(r$value)) -u <- read.csv("userstats.csv", stringsAsFactors = FALSE) -u <- melt(u, id.vars = c("date", "node", "country", "transport", - "version")) -u <- data.frame(date = u$date, node = u$node, country = u$country, - transport = u$transport, version = u$version, - variable = ifelse(u$variable == "frac", "frac", "clients"), - value = u$value) -c <- rbind(r, u) -c <- cast(c, date + node + country + transport + version ~ variable) -c <- c[order(as.Date(c$date), c$node, c$country, c$transport, c$version), ] -write.csv(c, "clients.csv", quote = FALSE, row.names = FALSE, na = "") - diff --git a/src/main/R/clients/userstats-detector.R b/src/main/R/clients/userstats-detector.R deleted file mode 100644 index c3a9041..0000000 --- a/src/main/R/clients/userstats-detector.R +++ /dev/null @@ -1,18 +0,0 @@ -library("reshape") -export_userstats_detector <- function(path) { - c <- read.csv("userstats.csv", stringsAsFactors = FALSE) - c <- c[c$country != '' & c$transport == '' & c$version == '' & - c$node == 'relay', ] - u <- data.frame(country = c$country, date = c$date, users = c$users, - stringsAsFactors = FALSE) - u <- rbind(u, data.frame(country = "zy", - aggregate(list(users = u$users), - by = list(date = u$date), sum))) - u <- data.frame(date = u$date, country = u$country, - users = floor(u$users)) - u <- cast(u, date ~ country, value = "users") - names(u)[names(u) == "zy"] <- "all" - write.csv(u, path, quote = FALSE, row.names = FALSE) -} -export_userstats_detector("userstats-detector.csv") -