changes
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@ -4,19 +4,8 @@ library(dplyr)
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library(lubridate)
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library(R.utils)
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con <- dbConnect(RPostgres::Postgres(),
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dbname='mainscnt',
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host='db.mainscnt.eu',
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user='wn')
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START <- "2021-08-03 00:00:00"
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INTERVAL <- 3600
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for (offset in 0:23) {
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startDate <- ymd_hms(START) + INTERVAL * offset
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endDate <- startDate + INTERVAL
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get_freq_df <- function(con, startDate, endDate) {
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startStr <- strftime(startDate, "%Y-%m-%d %H:%M:%S", tz="UTC")
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endStr <- strftime(endDate, "%Y-%m-%d %H:%M:%S", tz="UTC")
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@ -30,8 +19,6 @@ for (offset in 0:23) {
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values_from = freq,
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values_fn = mean)
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freq_wide$Linz_AT <- freq_wide$Linz_AT + 0.002
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THRESHOLD <- 0.5
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for (colIdx in 2:length(freq_wide)) {
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@ -44,15 +31,38 @@ for (offset in 0:23) {
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last <- current
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}
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}
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return (freq_wide)
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}
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con <- dbConnect(RPostgres::Postgres(),
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dbname='mainscnt',
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host='172.16.10.27',
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user='wn')
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START <- "2021-08-03 00:00:00"
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INTERVAL <- 3600
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for (offset in 0:0) {
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startDate <- ymd_hms(START) + INTERVAL * offset
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endDate <- startDate + INTERVAL
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freq_wide <- get_freq_df(con, startDate, endDate)
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freq_wide <- freq_wide %>%
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rowwise() %>%
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mutate(mad = mad(c_across(names(freq_wide)[-1]),
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na.rm=TRUE))
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# print(summary(freq_wide))
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printf("start: %s, end: %s, mad/cnt: %f\n", startStr, endStr, sum(freq_wide$mad) / length(freq_wide$mad))
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for (colIdx in 2:length(freq_wide)) {
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colName.mean <- paste("mean.w.o.", names(freq_wide)[colIdx], sep="")
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colName.diff <- paste(names(freq_wide)[colIdx], ".to.mean", sep="")
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freq_wide <- freq_wide %>%
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rowwise() %>%
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mutate(!!colName.mean := mean(c_across(names(freq_wide)[c(-1, - colIdx)]), na.rm=TRUE)) %>%
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mutate(!!colName.diff := abs())
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}
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# print(summary(freq_wide))
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}
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dbDisconnect(con)
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