Started moving preprocessing steps to functions; intermediate version
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6c6778f80f
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c133792285
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@ -33,8 +33,8 @@ knitr::opts_chunk$set(warning = FALSE, message = FALSE)
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#' Choose which folders with raw log files should be included:
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#folders <- "all"
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folders <- "_2016b"
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folders <- "all"
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#folders <- "_2016b"
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dirpaths <- paste0("../data/haum_logs_2016-2023/", folders)
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@ -64,7 +64,8 @@ leftpad_fnames <- function(x) {
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e6 <- sprintf("%02d", as.numeric(gsub(".log", "", y[5])))
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e6 <- sprintf("%02d", as.numeric(gsub(".log", "", y[5])))
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res <- c(res, paste0(e1, "_", e2, "_", e3, "-", e4, "_", e5, "_", e6, ".log"))
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res <- c(res,
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paste0(e1, "_", e2, "_", e3, "-", e4, "_", e5, "_", e6, ".log"))
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}
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res
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}
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@ -72,7 +73,8 @@ leftpad_fnames <- function(x) {
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logs <- lapply(fnames, readLines)
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nlog <- sapply(logs, length)
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dat <- data.frame(fileid = rep(leftpad_fnames(fnames), nlog), logs = unlist(logs))
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dat <- data.frame(fileId = rep(leftpad_fnames(fnames), nlog),
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logs = unlist(logs))
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head(dat$logs)
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#' Remove corrupted lines
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@ -95,7 +97,8 @@ d1 <- dim(dat)[1]
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dat <- subset(dat, dat$logs != "")
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d2 <- dim(dat)[1]
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#' The files contain `r d1-d2` corrupt lines that were remooved from the data.
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#' The files contain `r d1-d2` corrupt lines that were remooved from the
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#' data.
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#'
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#' ### Extract relevant infos
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@ -139,16 +142,16 @@ time_ms <- as.numeric(sapply(ts_elements, function(x) x[4])) +
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# TODO: Maybe change to simple gsub()...
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# --> This is theoretically sound but a lot of lines for just removing ":"
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dat$date <- lubridate::parse_date_time(date, "bdyHMSOp")
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dat$time_ms <- time_ms
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dat$event <- events
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dat$artwork <- trimws(sapply(strsplit(topics, "/"), function(x) x[1]))
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dat$popup <- sapply(strsplit(topics, "/"), function(x) x[2])
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dat$card <- card
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dat$x <- moves[,1]
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dat$y <- moves[,2]
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dat$scale <- moves[,3]
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dat$rotation <- moves[,4]
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dat$date <- lubridate::parse_date_time(date, "bdyHMSOp")
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dat$timeMs <- time_ms
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dat$event <- events
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dat$artwork <- trimws(sapply(strsplit(topics, "/"), function(x) x[1]))
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dat$popup <- sapply(strsplit(topics, "/"), function(x) x[2])
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dat$topicNumber <- card
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dat$x <- moves[,1]
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dat$y <- moves[,2]
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dat$scale <- moves[,3]
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dat$rotation <- moves[,4]
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dat$logs <- NULL
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# remove original log files from data so file becomes smaller
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@ -157,14 +160,14 @@ str(dat)
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head(dat, 20)
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# sort by fileid, since reading in by file names does not make sense because of
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# sort by fileId, since reading in by file names does not make sense because of
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# missing left zero padding
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dat <- dat[order(dat$fileid, dat$date, dat$time_ms), ]
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dat <- dat[order(dat$fileId, dat$date, dat$timeMs), ]
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## TODO: Replace artwork and popup numbers with informative strings
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#' ### Save data frame
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write.table(dat, "../data/rawdata_logfiles_small.csv",
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write.table(dat, "../data/rawdata_logfiles.csv",
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sep = ";", quote = FALSE, row.names = FALSE)
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@ -40,10 +40,10 @@ rownames(dat1) <- NULL
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# Create event ID for closing events
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num_start <- diff(c(0, which(dat1$event == "Transform stop")))
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dat1$eventid <- rep(seq_along(num_start), num_start)
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head(dat1[, c("event", "eventid")], 25)
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dat1$eventId <- rep(seq_along(num_start), num_start)
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head(dat1[, c("event", "eventId")], 25)
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table(table(dat1$eventid))
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table(table(dat1$eventId))
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# 1 2 3 4 5 6 7 8 10 11
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# 70 78435 5153 842 222 66 18 14 3 1
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# --> compare to table(num_start)!
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@ -52,17 +52,8 @@ table(table(dat1$eventid))
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num_stop <- c(diff(c(0, which(dat1$event == "Transform start"))))
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table(num_stop)
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# TODO: Do I still need this?
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# dat1$eventrep <- rep(num_start, num_start)
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# dat1$dupl <- duplicated(dat1[, c("event", "eventid")]) # keep first
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# dat1$dupl <- duplicated(dat1[, c("event", "eventid")], fromLast = TRUE) # keep last
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# dat1[dat1$eventrep == 10, ]
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# dat1$dupl <- NULL
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# dat1$eventrep <- NULL
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# remove duplicated "Transform start" events
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dat1 <- dat1[!duplicated(dat1[, c("event", "eventid")]), ]
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dat1 <- dat1[!duplicated(dat1[, c("event", "eventId")]), ]
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# remove duplicated "Transform stop" events
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id_stop <- which(dat1$event == "Transform stop")
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@ -74,36 +65,30 @@ dat1 <- dat1[-(id_rm_stop + 1), ]
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dat1$time <- ifelse(dat1$event == "Transform start", "start", "stop")
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trans_wide <- reshape(dat1, direction = "wide",
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idvar = c("eventid", "artwork", "glossar"),
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idvar = c("eventId", "artwork", "glossar"),
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timevar = "time",
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drop = c("popup", "card", "event")
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drop = c("popup", "topicNumber", "event")
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)
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# TODO: Should `card` remain? Or maybe rather topic?
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# --> Rethink when you add topics, maybe card -> topicNumber?
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# TODO: This runs for quite some time
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# --> Is this more efficient with tidyr::pivot_wider?
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# --> when fileid is part of the reshape, it does not work correctly, since
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# --> when fileId is part of the reshape, it does not work correctly, since
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# we sometimes have a start - stop event that is recorded in two separate
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# log files, BUT: after finding out, that `time_ms` changes for each log
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# file, I want to exclude those cases, so `fileid` has to be included!!!
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# log files, BUT: after finding out, that `timeMs` changes for each log
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# file, I want to exclude those cases, so `fileId` has to be included!!!
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# check how often an eventid is associated with two fileids
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nrow(subset(trans_wide, trans_wide$fileid.start != trans_wide$fileid.stop))
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# TODO: exclude from data set ??
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# trans_wide <- subset(trans_wide, trans_wide$fileid.start != trans_wide$fileid.stop)
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# check how often an eventId is associated with two fileIds
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nrow(subset(trans_wide, trans_wide$fileId.start != trans_wide$fileId.stop))
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# which(is.na(trans_wide$date.start))
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trans_wide$event <- "move"
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trans_wide$eventid <- NULL
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trans_wide$eventId <- NULL
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rownames(trans_wide) <- NULL
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trans_wide$duration <- trans_wide$time_ms.stop - trans_wide$time_ms.start
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trans_wide$duration <- trans_wide$timeMs.stop - trans_wide$timeMs.start
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#trans_wide$duration <- trans_wide$date.stop - trans_wide$date.start
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# only seconds - not fine grained enough
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trans_wide$distance <- apply(
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@ -114,19 +99,19 @@ trans_wide$rotationDegree <- trans_wide$rotation.stop -
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trans_wide$scaleSize <- trans_wide$scale.stop / trans_wide$scale.start
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trans_wide$trace <- NA
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trans_wide$card <- NA
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trans_wide$topicNumber <- NA
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trans_wide$popup <- NA
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dat_trans <- trans_wide[trans_wide$distance != 0 &
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trans_wide$rotationDegree != 0 &
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trans_wide$scaleSize != 1,
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c("fileid.start", "fileid.stop", "event", "artwork",
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c("fileId.start", "fileId.stop", "event", "artwork",
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"trace", "glossar", "date.start", "date.stop",
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"time_ms.start", "time_ms.stop", "duration",
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"card", "popup", "x.start", "y.start", "x.stop",
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"y.stop", "distance", "scale.start", "scale.stop",
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"scaleSize", "rotation.start", "rotation.stop",
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"rotationDegree")]
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"timeMs.start", "timeMs.stop", "duration",
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"topicNumber", "popup", "x.start", "y.start",
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"x.stop", "y.stop", "distance", "scale.start",
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"scale.stop", "scaleSize", "rotation.start",
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"rotation.stop", "rotationDegree")]
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1 - nrow(dat_trans) / nrow(trans_wide)
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# removes almost 2/3 of the data (for small data set)
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@ -166,9 +151,6 @@ for (art in aws) { # select artwork
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}
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}
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head(dat2[, c("artwork", "event", "trace")], 50)
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tail(dat2[, c("artwork", "event", "trace")], 50)
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rm(aws, i, j, last_event, art)
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#' ## Fix glossar entries (find corresponding artworks and fill in trace)
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@ -181,6 +163,11 @@ lut <- glossar_dict[glossar_dict$glossar_file %in% glossar_files, ]
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head(dat2[, c("artwork", "event", "popup", "trace")], 20)
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inside <- glossar_files[glossar_files %in%
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lut[sapply(lut$artwork, length) == 1,
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"glossar_file"]]
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single_art <- unlist(lut[lut$glossar_file %in% inside, "artwork"])
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for (file in lut$glossar_file) {
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@ -188,7 +175,9 @@ for (file in lut$glossar_file) {
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for (i in seq_len(nrow(dat2))) {
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if (dat2$event[i] == "Show Info") {
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if (dat2$event[i] == "Show Info" |
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(dat2$event[i] == "Artwork/OpenCard" &
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dat2$artwork[i] %in% single_art)) {
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current_artwork <- dat2[i, "artwork"]
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j <- i
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@ -207,67 +196,32 @@ for (file in lut$glossar_file) {
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if (dat2$artwork[i] == "glossar" &
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(current_artwork %in% artwork_list) &
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dat2$popup[i] == file & (j-k == 0)) {
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dat2$popup[i] == file & (j - k == 0)) {
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dat2[i, "trace"] <- dat2[j, "trace"]
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dat2[i, "trace"] <- dat2[j, "trace"]
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dat2[i, "artwork"] <- current_artwork
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}
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}
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}
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# --> finds about half of the glossar entries for the small data set...
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table(is.na(dat2[dat2$glossar == 1, "trace"]))
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# --> finds a bit more than half of the glossar entries for the small data
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# set...
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proportions(table(is.na(dat2[dat2$glossar == 1, "trace"])))
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# REMEMBER: It can never bo 100% correct, since it is always possible that
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# REMEMBER: It can never be 100% correct, since it is always possible that
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# several cards are open and that they link to the same glossar entry
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# How many glossar_files are only associated with one artwork?
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lut[sapply(lut$artwork, length) == 1, "glossar_file"]
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single <- lut[sapply(lut$artwork, length) == 1, "glossar_file"]
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tmp <- subset(dat2, is.na(dat2$trace))$popup
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inside <- unique(tmp[tmp %in% lut[sapply(lut$artwork, length) == 1, "glossar_file"]])
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single_art <- unlist(lut[lut$glossar_file %in% inside, "artwork"])
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tmp_lut <- data.frame(glossar_file = sort(inside), artwork = single_art)
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dat2[dat2$glossar == 1, c("artwork", "popup", "glossar", "trace")]
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for (file in tmp_lut$glossar_file) {
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for (i in seq_len(nrow(dat2))) {
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if (dat2$event[i] == "Artwork/OpenCard" & dat2$artwork[i] %in% tmp_lut$artwork) {
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current_artwork <- dat2[i, "artwork"]
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j <- i
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}
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if (dat2$artwork[i] == "glossar" &
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dat2$popup[i] == file) {
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dat2[i, "trace"] <- dat2[j, "trace"]
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dat2[i, "artwork"] <- current_artwork
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}
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}
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}
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dat2[14110:14130, ]
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dat2[dat2$glossar == 1, ]
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# TODO: Integrate for-loop into for-loop above
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# Exclude not matched glossar entries
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df <- subset(dat2, !is.na(dat2$trace))
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# TODO: For now: Exclude not matched glossar entries
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df <- df[order(df$trace), ]
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rownames(df) <- NULL
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rm(lut, current_artwork, file, glossar_dict, i, j, k, artwork_list,
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glossar_files)
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glossar_files, inside, single_art)
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#' ## Close flipCard
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@ -278,23 +232,23 @@ dat3$time <- ifelse(dat3$event == "Show Info", "start", "stop")
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flipCard_wide <- reshape(dat3, direction = "wide",
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idvar = c("trace", "artwork", "glossar"),
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timevar = "time",
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drop = c("popup", "card"))
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drop = c("popup", "topicNumber"))
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flipCard_wide$event <- "flipCard"
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flipCard_wide$duration <- flipCard_wide$time_ms.stop -
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flipCard_wide$time_ms.start
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flipCard_wide$duration <- flipCard_wide$timeMs.stop -
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flipCard_wide$timeMs.start
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flipCard_wide$card <- NA
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flipCard_wide$topicNumber <- NA
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flipCard_wide$popup <- NA
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flipCard_wide$distance <- NA
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flipCard_wide$scaleSize <- NA
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flipCard_wide$rotationDegree <- NA
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dat_flipCard <- flipCard_wide[, c("fileid.start", "fileid.stop", "event",
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dat_flipCard <- flipCard_wide[, c("fileId.start", "fileId.stop", "event",
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"artwork", "trace", "glossar",
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"date.start", "date.stop",
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"time_ms.start", "time_ms.stop",
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"duration", "card", "popup", "x.start",
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"y.start", "x.stop", "y.stop",
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"timeMs.start", "timeMs.stop",
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"duration", "topicNumber", "popup",
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"x.start", "y.start", "x.stop", "y.stop",
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"distance", "scale.start", "scale.stop",
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"scaleSize", "rotation.start",
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"rotation.stop", "rotationDegree")]
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@ -308,33 +262,33 @@ dat4 <- dat4[order(dat4$artwork, dat4$date), ]
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rownames(dat4) <- NULL
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num_start <- diff(c(0, which(dat4$event == "Artwork/CloseCard")))
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dat4$eventid <- rep(seq_along(num_start), num_start)
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dat4$eventId <- rep(seq_along(num_start), num_start)
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dat4$time <- ifelse(dat4$event == "Artwork/OpenCard", "start", "stop")
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openTopic_wide <- reshape(dat4, direction = "wide",
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idvar = c("eventid", "trace", "glossar", "artwork", "card"),
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idvar = c("eventId", "trace", "glossar", "artwork", "topicNumber"),
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timevar = "time", drop = "popup")
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openTopic_wide$event <- "openTopic"
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openTopic_wide$duration <- openTopic_wide$time_ms.stop -
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openTopic_wide$time_ms.start
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openTopic_wide$duration <- openTopic_wide$timeMs.stop -
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openTopic_wide$timeMs.start
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openTopic_wide$popup <- NA
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openTopic_wide$distance <- NA
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openTopic_wide$scaleSize <- NA
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openTopic_wide$rotationDegree <- NA
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dat_openTopic <- openTopic_wide[, c("fileid.start", "fileid.stop", "event",
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dat_openTopic <- openTopic_wide[, c("fileId.start", "fileId.stop", "event",
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"artwork", "trace", "glossar",
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"date.start", "date.stop",
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"time_ms.start", "time_ms.stop",
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"duration", "card", "popup", "x.start",
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"y.start", "x.stop", "y.stop",
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"distance", "scale.start",
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"timeMs.start", "timeMs.stop",
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"duration", "topicNumber", "popup",
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"x.start", "y.start", "x.stop",
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"y.stop", "distance", "scale.start",
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"scale.stop", "scaleSize",
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"rotation.start", "rotation.stop",
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"rotationDegree")]
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# TODO: card should have a unique identifier for each artwork
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# TODO: topicNumber should have a unique identifier for each artwork
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rm(openTopic_wide, num_start)
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@ -347,42 +301,45 @@ rownames(dat5) <- NULL
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num_start <- diff(c(0, which(dat5$event == "HidePopup")))
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# last event is "ShowPopup"! Needs to be fixed
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# num_start <- c(num_start, 1)
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# TODO: Needs to be caught in a function --> not anymore - still relevant???
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# TODO: Needs to be caught in a function
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# --> not anymore - still relevant???
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dat5$eventid <- rep(seq_along(num_start), num_start)
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dat5$eventId <- rep(seq_along(num_start), num_start)
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dat5$time <- ifelse(dat5$event == "ShowPopup", "start", "stop")
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openPopup_wide <- reshape(dat5, direction = "wide",
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idvar = c("eventid", "trace", "glossar", "artwork", "popup"),
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timevar = "time", drop = "card")
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idvar = c("eventId", "trace", "glossar",
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"artwork", "popup"),
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timevar = "time",
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drop = "topicNumber")
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# there is a pathological entry which gets deleted...
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# df[df$trace == 4595, ]
|
||||
# --> artwork 046 popup selene.xml gets opened twice
|
||||
|
||||
openPopup_wide$event <- "openPopup"
|
||||
openPopup_wide$duration <- openPopup_wide$time_ms.stop -
|
||||
openPopup_wide$time_ms.start
|
||||
openPopup_wide$duration <- openPopup_wide$timeMs.stop -
|
||||
openPopup_wide$timeMs.start
|
||||
|
||||
openPopup_wide$card <- NA
|
||||
openPopup_wide$topicNumber <- NA
|
||||
openPopup_wide$distance <- NA
|
||||
openPopup_wide$scaleSize <- NA
|
||||
openPopup_wide$rotationDegree <- NA
|
||||
|
||||
dat_openPopup <- openPopup_wide[, c("fileid.start", "fileid.stop", "event",
|
||||
dat_openPopup <- openPopup_wide[, c("fileId.start", "fileId.stop", "event",
|
||||
"artwork", "trace", "glossar",
|
||||
"date.start", "date.stop",
|
||||
"time_ms.start", "time_ms.stop",
|
||||
"duration", "card", "popup", "x.start",
|
||||
"y.start", "x.stop", "y.stop",
|
||||
"distance", "scale.start",
|
||||
"timeMs.start", "timeMs.stop",
|
||||
"duration", "topicNumber", "popup",
|
||||
"x.start", "y.start", "x.stop",
|
||||
"y.stop", "distance", "scale.start",
|
||||
"scale.stop", "scaleSize",
|
||||
"rotation.start", "rotation.stop",
|
||||
"rotationDegree")]
|
||||
rm(num_start, openPopup_wide)
|
||||
|
||||
|
||||
# TODO: Should card maybe also be filled in for "openPopup"?
|
||||
# TODO: Should topicNumber maybe also be filled in for "openPopup"?
|
||||
|
||||
#' ## Merge data sets for different events
|
||||
|
||||
|
|
@ -408,7 +365,7 @@ dat[31000:31019,] # this one e.g.
|
|||
|
||||
# Remove durations when event spans more than one log file, since they are
|
||||
# not interpretable
|
||||
dat_all[which(dat_all$fileid.start != dat_all$fileid.stop), "duration"] <- NA
|
||||
dat_all[which(dat_all$fileId.start != dat_all$fileId.stop), "duration"] <- NA
|
||||
|
||||
# sort by `start.date`
|
||||
dat_all <- dat_all[order(dat_all$date.start), ]
|
||||
|
|
@ -445,12 +402,12 @@ head(dat_all[, c("event", "artwork", "trace", "date.start", "timediff", "case")]
|
|||
|
||||
#' ## Add event ID
|
||||
|
||||
dat_all$eventid <- seq_len(nrow(dat_all))
|
||||
dat_all$eventId <- seq_len(nrow(dat_all))
|
||||
|
||||
dat_all <- dat_all[, c("fileid.start", "fileid.stop", "eventid", "case",
|
||||
dat_all <- dat_all[, c("fileId.start", "fileId.stop", "eventId", "case",
|
||||
"trace", "glossar", "event", "artwork",
|
||||
"date.start", "date.stop", "time_ms.start",
|
||||
"time_ms.stop", "duration", "card", "popup",
|
||||
"date.start", "date.stop", "timeMs.start",
|
||||
"timeMs.stop", "duration", "topicNumber", "popup",
|
||||
"x.start", "y.start", "x.stop", "y.stop",
|
||||
"distance", "scale.start", "scale.stop",
|
||||
"scaleSize", "rotation.start", "rotation.stop",
|
||||
|
|
@ -510,12 +467,10 @@ out$trace <- as.numeric(factor(out$trace, levels = unique(out$trace)))
|
|||
#' # Fill in topics
|
||||
|
||||
topics <- read.table("../data/topics.csv", sep = ";", header = TRUE)
|
||||
# TODO:
|
||||
# TODO: Add topics to data frame
|
||||
|
||||
#' # Export data
|
||||
|
||||
write.table(out, "../data/event_logfiles.csv", sep = ";",
|
||||
row.names = FALSE)
|
||||
|
||||
# TODO: Write function for closing events
|
||||
|
||||
|
|
|
|||
|
|
@ -0,0 +1,283 @@
|
|||
# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/MDS/2023ss/60100_master_thesis/code")
|
||||
|
||||
# Read data
|
||||
|
||||
dat0 <- read.table("../data/rawdata_logfiles_small.csv", sep = ";",
|
||||
header = TRUE)
|
||||
|
||||
dat0$date <- as.POSIXct(dat0$date)
|
||||
dat0$glossar <- ifelse(dat0$artwork == "glossar", 1, 0)
|
||||
# remove irrelevant events
|
||||
dat <- subset(dat0, !(dat0$event %in% c("Start Application",
|
||||
"Show Application")))
|
||||
|
||||
# Close move events
|
||||
close_moves <- function(data) {
|
||||
|
||||
# close move events
|
||||
dat1 <- data[data$event %in% c("Transform start", "Transform stop"), ]
|
||||
dat1 <- dat1[order(dat1$artwork, dat1$date), ]
|
||||
num_start <- diff(c(0, which(dat1$event == "Transform stop")))
|
||||
dat1$eventId <- rep(seq_along(num_start), num_start)
|
||||
|
||||
# remove duplicated "Transform start" events
|
||||
dat1 <- dat1[!duplicated(dat1[, c("event", "eventId")]), ]
|
||||
|
||||
# remove duplicated "Transform stop" events
|
||||
id_stop <- which(dat1$event == "Transform stop")
|
||||
id_rm_stop <- id_stop[diff(id_stop) == 1]
|
||||
|
||||
dat1 <- dat1[-(id_rm_stop + 1), ]
|
||||
|
||||
# transform to wide data format
|
||||
dat1$time <- ifelse(dat1$event == "Transform start", "start", "stop")
|
||||
|
||||
trans_wide <- reshape(dat1, direction = "wide",
|
||||
idvar = c("eventId", "artwork", "glossar"),
|
||||
timevar = "time",
|
||||
drop = c("popup", "topicNumber", "event")
|
||||
)
|
||||
trans_wide$event <- "move"
|
||||
trans_wide$eventId <- NULL
|
||||
|
||||
trans_wide$duration <- trans_wide$timeMs.stop - trans_wide$timeMs.start
|
||||
trans_wide$distance <- apply(
|
||||
trans_wide[, c("x.start", "y.start", "x.stop", "y.stop")], 1,
|
||||
function(x) dist(matrix(x, 2, 2, byrow = TRUE)))
|
||||
trans_wide$rotationDegree <- trans_wide$rotation.stop -
|
||||
trans_wide$rotation.start
|
||||
trans_wide$scaleSize <- trans_wide$scale.stop / trans_wide$scale.start
|
||||
|
||||
trans_wide$trace <- NA
|
||||
trans_wide$topicNumber <- NA
|
||||
trans_wide$popup <- NA
|
||||
|
||||
dat_trans <- trans_wide[trans_wide$distance != 0 &
|
||||
trans_wide$rotationDegree != 0 &
|
||||
trans_wide$scaleSize != 1,
|
||||
c("fileId.start", "fileId.stop", "event", "artwork",
|
||||
"trace", "glossar", "date.start", "date.stop",
|
||||
"timeMs.start", "timeMs.stop", "duration",
|
||||
"topicNumber", "popup", "x.start", "y.start",
|
||||
"x.stop", "y.stop", "distance", "scale.start",
|
||||
"scale.stop", "scaleSize", "rotation.start",
|
||||
"rotation.stop", "rotationDegree")]
|
||||
rownames(dat_trans) <- NULL
|
||||
cat(paste("INFORMATION:", nrow(trans_wide) - nrow(dat_trans),
|
||||
"lines containing move events were removed since they did",
|
||||
"\nnot contain any change"), fill = TRUE)
|
||||
dat_trans
|
||||
}
|
||||
|
||||
|
||||
dat1 <- close_moves(dat)
|
||||
# TODO: Integrate this function into close_events?
|
||||
|
||||
###########################################################################
|
||||
|
||||
# Add trace variable
|
||||
add_trace <- function(data) {
|
||||
|
||||
dat2 <- data[!data$event %in% c("Transform start", "Transform stop"), ]
|
||||
|
||||
dat2$trace <- NA
|
||||
last_event <- dat2$event[1]
|
||||
aws <- unique(dat2$artwork)[unique(dat2$artwork) != "glossar"]
|
||||
#
|
||||
for (art in aws) { # select artwork
|
||||
|
||||
for (i in 1:nrow(dat2)) { # go through rows
|
||||
|
||||
if (last_event == "Show Info" & dat2$artwork[i] == art) {
|
||||
dat2$trace[i] <- i
|
||||
j <- i
|
||||
|
||||
} else if (last_event == "Show Front" & dat2$artwork[i] == art) {
|
||||
dat2$trace[i] <- j
|
||||
|
||||
} else if (!(last_event %in% c("Show Info", "Show Front")) &
|
||||
dat2$artwork[i] == art) {
|
||||
dat2$trace[i] <- j
|
||||
}
|
||||
|
||||
if (i <= nrow(dat2)) {
|
||||
last_event <- dat2$event[i + 1]
|
||||
}
|
||||
}
|
||||
}
|
||||
dat2
|
||||
}
|
||||
|
||||
|
||||
add_trace2 <- function(data, glossar_dict = "../data/glossar_dict.RData") {
|
||||
|
||||
data$trace <- NA
|
||||
dat1 <- data[data$event %in% c("Transform start", "Transform stop"), ]
|
||||
dat2 <- data[!data$event %in% c("Transform start", "Transform stop"), ]
|
||||
|
||||
last_event <- dat2$event[1]
|
||||
aws <- unique(dat2$artwork)[unique(dat2$artwork) != "glossar"]
|
||||
#
|
||||
for (art in aws) { # select artwork
|
||||
|
||||
for (i in 1:nrow(dat2)) { # go through rows
|
||||
|
||||
if (last_event == "Show Info" & dat2$artwork[i] == art) {
|
||||
dat2$trace[i] <- i
|
||||
j <- i
|
||||
|
||||
} else if (last_event == "Show Front" & dat2$artwork[i] == art) {
|
||||
dat2$trace[i] <- j
|
||||
|
||||
} else if (!(last_event %in% c("Show Info", "Show Front")) &
|
||||
dat2$artwork[i] == art) {
|
||||
dat2$trace[i] <- j
|
||||
}
|
||||
|
||||
if (i <= nrow(dat2)) {
|
||||
last_event <- dat2$event[i + 1]
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
glossar_files <- unique(dat2[dat2$artwork == "glossar", "popup"])
|
||||
|
||||
# load lookup table for artworks and glossar files
|
||||
load(glossar_dict)
|
||||
lut <- glossar_dict[glossar_dict$glossar_file %in% glossar_files, ]
|
||||
|
||||
head(dat2[, c("artwork", "event", "popup", "trace")], 20)
|
||||
|
||||
inside <- glossar_files[glossar_files %in%
|
||||
lut[sapply(lut$artwork, length) == 1,
|
||||
"glossar_file"]]
|
||||
single_art <- unlist(lut[lut$glossar_file %in% inside, "artwork"])
|
||||
|
||||
|
||||
for (file in lut$glossar_file) {
|
||||
|
||||
artwork_list <- unlist(lut[lut$glossar_file == file, "artwork"])
|
||||
|
||||
for (i in seq_len(nrow(dat2))) {
|
||||
|
||||
if (dat2$event[i] == "Show Info" |
|
||||
(dat2$event[i] == "Artwork/OpenCard" &
|
||||
dat2$artwork[i] %in% single_art)) {
|
||||
|
||||
current_artwork <- dat2[i, "artwork"]
|
||||
j <- i
|
||||
k <- i
|
||||
|
||||
} else {
|
||||
|
||||
current_artwork <- current_artwork
|
||||
|
||||
}
|
||||
|
||||
if (dat2$event[i] == "Show Front" & dat2$artwork[i] == current_artwork) {
|
||||
# make sure artwork has not been closed, yet!
|
||||
k <- i
|
||||
}
|
||||
|
||||
if (dat2$artwork[i] == "glossar" &
|
||||
(current_artwork %in% artwork_list) &
|
||||
dat2$popup[i] == file & (j - k == 0)) {
|
||||
|
||||
dat2[i, "trace"] <- dat2[j, "trace"]
|
||||
dat2[i, "artwork"] <- current_artwork
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
cat(proportions(table(is.na(dat2[dat2$glossar == 1, "trace"]))), fill = TRUE)
|
||||
|
||||
out <- rbind(dat1, dat2)
|
||||
out <- out[order(out$fileId, out$date, out$timeMs), ]
|
||||
out
|
||||
}
|
||||
|
||||
|
||||
tmp <- add_trace2(dat)
|
||||
|
||||
###########################################################################
|
||||
|
||||
close_events <- function(data, event = c("flipCard", "openTopic", "openPopup")) {
|
||||
|
||||
if (event == "flipCard") {
|
||||
subdata <- subset(data, data$event %in% c("Show Info", "Show Front"))
|
||||
subdata$time <- ifelse(subdata$event == "Show Info", "start", "stop")
|
||||
subdata$eventId <- NA
|
||||
idvar <- c("trace", "artwork", "glossar")
|
||||
drop <- c("popup", "topicNumber")
|
||||
|
||||
} else if (event == "openTopic") {
|
||||
subdata <- subset(data, data$event %in% c("Artwork/OpenCard", "Artwork/CloseCard"))
|
||||
subdata$time <- ifelse(subdata$event == "Artwork/OpenCard", "start", "stop")
|
||||
num_start <- diff(c(0, which(subdata$event == "Artwork/CloseCard")))
|
||||
subdata$eventId <- rep(seq_along(num_start), num_start)
|
||||
idvar <- c("eventId", "trace", "glossar", "artwork", "topicNumber")
|
||||
drop <- "popup"
|
||||
|
||||
} else if (event == "openPopup") {
|
||||
subdata <- subset(data, data$event %in% c("ShowPopup", "HidePopup"))
|
||||
subdata$time <- ifelse(subdata$event == "ShowPopup", "start", "stop")
|
||||
num_start <- diff(c(0, which(subdata$event == "HidePopup")))
|
||||
subdata$eventId <- rep(seq_along(num_start), num_start)
|
||||
idvar <- c("eventId", "trace", "glossar", "artwork", "popup")
|
||||
drop <- "topicNumber"
|
||||
}
|
||||
|
||||
data_wide <- reshape(subdata, direction = "wide",
|
||||
idvar = idvar,
|
||||
timevar = "time",
|
||||
drop = drop)
|
||||
data_wide$event <- event
|
||||
data_wide$duration <- data_wide$timeMs.stop - data_wide$timeMs.start
|
||||
|
||||
for (d in drop) data_wide[d] <- NA
|
||||
data_wide$distance <- NA
|
||||
data_wide$scaleSize <- NA
|
||||
data_wide$rotationDegree <- NA
|
||||
|
||||
out <- data_wide[, c("fileId.start", "fileId.stop", "event", "artwork",
|
||||
"trace", "glossar", "date.start", "date.stop",
|
||||
"timeMs.start", "timeMs.stop", "duration",
|
||||
"topicNumber", "popup", "x.start", "y.start",
|
||||
"x.stop", "y.stop", "distance", "scale.start",
|
||||
"scale.stop", "scaleSize", "rotation.start",
|
||||
"rotation.stop", "rotationDegree")]
|
||||
out
|
||||
# TODO: Suppress warnings?
|
||||
}
|
||||
|
||||
tmp <- rbind(close_moves(dat),
|
||||
close_events(df, "flipCard"),
|
||||
close_events(df, "openTopic"),
|
||||
close_events(df, "openPopup"))
|
||||
|
||||
# 'data.frame': 38607 obs. of 24 variables:
|
||||
# $ fileId.start : chr "2016_11_15-12_32_57.log" "2016_11_15-14_42_57.log" "2016_11_15-14_42_57.log" "2016_11_16-12_31_32.log" ...
|
||||
# $ fileId.stop : chr "2016_11_15-12_32_57.log" "2016_11_15-14_42_57.log" "2016_11_15-14_42_57.log" "2016_11_16-12_31_32.log" ...
|
||||
# $ event : chr "move" "move" "move" "move" ...
|
||||
# $ artwork : chr "001" "001" "001" "001" ...
|
||||
# $ trace : int NA NA NA NA NA NA NA NA NA NA ...
|
||||
# $ glossar : num 0 0 0 0 0 0 0 0 0 0 ...
|
||||
# $ date.start : POSIXct, format: "2016-12-15 12:39:49" "2016-12-15 14:49:37" ...
|
||||
# $ date.stop : POSIXct, format: "2016-12-15 12:39:49" "2016-12-15 14:49:40" ...
|
||||
# $ timeMs.start : int 412141 400777 554506 384312 406277 533864 548467 549396 158632 194982 ...
|
||||
# $ timeMs.stop : int 412474 403784 556633 388313 407994 538185 549088 551116 160343 197099 ...
|
||||
# $ duration : int 333 3007 2127 4001 1717 4321 621 1720 1711 2117 ...
|
||||
# $ topicNumber : int NA NA NA NA NA NA NA NA NA NA ...
|
||||
# $ popup : chr NA NA NA NA ...
|
||||
# $ x.start : num 531 235 470 326 326 ...
|
||||
# $ y.start : num 1221 734 2090 747 747 ...
|
||||
# $ x.stop : num 513 360 1492 256 2459 ...
|
||||
# $ y.stop : num 1212 809 1687 643 1430 ...
|
||||
# $ distance : num 19.8 146.6 1098.5 125.2 2239.4 ...
|
||||
# $ scale.start : num 0.8 0.301 0.8 0.301 0.301 ...
|
||||
# $ scale.stop : num 0.8 0.331 0.822 0.391 0.397 ...
|
||||
# $ scaleSize : num 1 1.1 1.03 1.3 1.32 ...
|
||||
# $ rotation.start: num 116 116 90 116 116 ...
|
||||
# $ rotation.stop : num 116.3 89.6 2.8 86.1 125.8 ...
|
||||
# $ rotationDegree: num 0.00245 -26.72397 -87.19711 -30.14456 9.49951 ...
|
||||
Loading…
Reference in New Issue