Loading src/main/R/rserver/graphs.R +10 −7 Original line number Diff line number Diff line Loading @@ -922,14 +922,15 @@ write_userstats_relay_country <- function(start_p = NULL, end_p = NULL, lower = col_double(), upper = col_double(), clients = col_double(), frac = col_double())) %>% frac = col_double()), na = character()) %>% filter(node == "relay") %>% filter(if (!is.null(start_p)) date >= as.Date(start_p) else TRUE) %>% filter(if (!is.null(end_p)) date <= as.Date(end_p) else TRUE) %>% filter(if (!is.null(country_p)) country == ifelse(country_p == "all", "", country_p) else TRUE) %>% filter(is.na(transport)) %>% filter(is.na(version)) %>% filter(transport == "") %>% filter(version == "") %>% select(date, country, clients, lower, upper, frac) %>% rename(users = clients) %>% write.csv(path_p, quote = FALSE, row.names = FALSE, na = "") Loading @@ -947,14 +948,15 @@ write_userstats_bridge_country <- function(start_p = NULL, end_p = NULL, lower = col_double(), upper = col_double(), clients = col_double(), frac = col_double())) %>% frac = col_double()), na = character()) %>% filter(node == "bridge") %>% filter(if (!is.null(start_p)) date >= as.Date(start_p) else TRUE) %>% filter(if (!is.null(end_p)) date <= as.Date(end_p) else TRUE) %>% filter(if (!is.null(country_p)) country == ifelse(country_p == "all", "", country_p) else TRUE) %>% filter(is.na(transport)) %>% filter(is.na(version)) %>% filter(transport == "") %>% filter(version == "") %>% select(date, country, clients, frac) %>% rename(users = clients) %>% write.csv(path_p, quote = FALSE, row.names = FALSE, na = "") Loading Loading @@ -1031,7 +1033,8 @@ prepare_userstats_bridge_combined <- function(start_p, end_p, country_p) { version = col_skip(), frac = col_double(), low = col_double(), high = col_double())) %>% high = col_double()), na = character()) %>% filter(if (!is.null(start_p)) date >= as.Date(start_p) else TRUE) %>% filter(if (!is.null(end_p)) date <= as.Date(end_p) else TRUE) %>% filter(if (!is.null(country_p)) country == country_p else TRUE) Loading Loading
src/main/R/rserver/graphs.R +10 −7 Original line number Diff line number Diff line Loading @@ -922,14 +922,15 @@ write_userstats_relay_country <- function(start_p = NULL, end_p = NULL, lower = col_double(), upper = col_double(), clients = col_double(), frac = col_double())) %>% frac = col_double()), na = character()) %>% filter(node == "relay") %>% filter(if (!is.null(start_p)) date >= as.Date(start_p) else TRUE) %>% filter(if (!is.null(end_p)) date <= as.Date(end_p) else TRUE) %>% filter(if (!is.null(country_p)) country == ifelse(country_p == "all", "", country_p) else TRUE) %>% filter(is.na(transport)) %>% filter(is.na(version)) %>% filter(transport == "") %>% filter(version == "") %>% select(date, country, clients, lower, upper, frac) %>% rename(users = clients) %>% write.csv(path_p, quote = FALSE, row.names = FALSE, na = "") Loading @@ -947,14 +948,15 @@ write_userstats_bridge_country <- function(start_p = NULL, end_p = NULL, lower = col_double(), upper = col_double(), clients = col_double(), frac = col_double())) %>% frac = col_double()), na = character()) %>% filter(node == "bridge") %>% filter(if (!is.null(start_p)) date >= as.Date(start_p) else TRUE) %>% filter(if (!is.null(end_p)) date <= as.Date(end_p) else TRUE) %>% filter(if (!is.null(country_p)) country == ifelse(country_p == "all", "", country_p) else TRUE) %>% filter(is.na(transport)) %>% filter(is.na(version)) %>% filter(transport == "") %>% filter(version == "") %>% select(date, country, clients, frac) %>% rename(users = clients) %>% write.csv(path_p, quote = FALSE, row.names = FALSE, na = "") Loading Loading @@ -1031,7 +1033,8 @@ prepare_userstats_bridge_combined <- function(start_p, end_p, country_p) { version = col_skip(), frac = col_double(), low = col_double(), high = col_double())) %>% high = col_double()), na = character()) %>% filter(if (!is.null(start_p)) date >= as.Date(start_p) else TRUE) %>% filter(if (!is.null(end_p)) date <= as.Date(end_p) else TRUE) %>% filter(if (!is.null(country_p)) country == country_p else TRUE) Loading