Worked on closing events that span more than one log file
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161
R/close_events.R
161
R/close_events.R
@ -14,9 +14,9 @@ close_events <- function(data, event = c("move", "flipCard", "openTopic", "openP
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},
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"flipCard" = {
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actions <- c("Show Info", "Show Front")
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idvar <- c("fileId", "folder", "trace", "artwork", "glossar")
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drop <- c("popup", "topicNumber", "eventId", "event")
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ncol <- 17
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idvar <- c("fileId", "folder", "trace", "eventId", "artwork", "glossar")
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drop <- c("popup", "topicNumber", "event")
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ncol <- 18
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},
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"openTopic" = {
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@ -34,7 +34,6 @@ close_events <- function(data, event = c("move", "flipCard", "openTopic", "openP
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drop <- c("topicNumber", "event")
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ncol <- 19
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# TODO: Should topicNumber maybe also be filled in for "openPopup"?
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}
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)
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@ -54,6 +53,10 @@ close_events <- function(data, event = c("move", "flipCard", "openTopic", "openP
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subdata <- subdata[-(id_rm_stop + 1), ]
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}
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if (event == "flipCard") {
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subdata$eventId <- subdata$trace
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}
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subdata_split <- split(subdata, ~ fileId)
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pbapply::pboptions(style = 3, char = "=")
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@ -63,20 +66,142 @@ close_events <- function(data, event = c("move", "flipCard", "openTopic", "openP
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idvar = idvar,
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timevar = "time",
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drop = drop)
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# suppressWarnings(
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# data_wide <- stats::reshape(subdata, direction = "wide",
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# idvar = idvar,
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# timevar = "time",
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# drop = drop)
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# )
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# remove entries with only start or stop events since they do not have
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# all columns
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ids <- which(sapply(subdata_split_wide, ncol) != ncol)
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if (length(ids) > 0) subdata_split_wide <- subdata_split_wide[-ids]
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#which(sapply(subdata_split_wide, ncol) != ncol)
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# fix log files with *only* start or *only* stop events
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add_variables <- function(data_split_wide, ncol,
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event = c("move", "flipCard", "openTopic", "openPopup")) {
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if (ncol(data_split_wide) != ncol) {
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if (!any(grepl("start", names(data_split_wide)))) {
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data_split_wide$date.start <- NA
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data_split_wide$timeMs.start <- NA
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data_split_wide$x.start <- NA
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data_split_wide$y.start <- NA
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data_split_wide$scale.start <- NA
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data_split_wide$rotation.start <- NA
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event <- match.arg(event)
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switch(event,
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"move" = {
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data_split_wide <- data_split_wide[, c("fileId", "folder",
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"artwork", "glossar",
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"eventId", "date.start",
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"timeMs.start", "x.start",
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"y.start", "scale.start",
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"rotation.start",
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"date.stop", "timeMs.stop",
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"x.stop", "y.stop",
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"scale.stop",
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"rotation.stop")]
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},
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"flipCard" = {
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data_split_wide <- data_split_wide[, c("fileId", "folder",
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"artwork", "glossar",
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"trace", "eventId",
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"date.start",
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"timeMs.start",
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"x.start", "y.start",
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"scale.start",
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"rotation.start",
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"date.stop",
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"timeMs.stop", "x.stop",
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"y.stop", "scale.stop",
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"rotation.stop")]
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},
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"openTopic" = {
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data_split_wide <- data_split_wide[, c("fileId", "folder",
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"artwork", "topicNumber",
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"glossar", "trace",
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"eventId", "date.start",
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"timeMs.start",
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"x.start", "y.start",
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"scale.start",
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"rotation.start",
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"date.stop",
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"timeMs.stop", "x.stop",
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"y.stop", "scale.stop",
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"rotation.stop")]
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},
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"openPopup" = {
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data_split_wide <- data_split_wide[, c("fileId", "folder",
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"artwork", "popup",
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"glossar", "trace",
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"eventId", "date.start",
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"timeMs.start",
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"x.start", "y.start",
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"scale.start",
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"rotation.start",
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"date.stop",
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"timeMs.stop", "x.stop",
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"y.stop", "scale.stop",
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"rotation.stop")]
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}
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)
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} else if (!any(grepl("stop", names(data_split_wide)))) {
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data_split_wide$date.stop <- NA
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data_split_wide$timeMs.stop <- NA
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data_split_wide$x.stop <- NA
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data_split_wide$y.stop <- NA
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data_split_wide$scale.stop <- NA
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data_split_wide$rotation.stop <- NA
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}
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}
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data_split_wide
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}
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subdata_split_wide <- lapply(subdata_split_wide, add_variables, ncol = ncol,
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event = event)
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data_wide <- dplyr::bind_rows(subdata_split_wide)
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select <- is.na(data_wide$date.start) | is.na(data_wide$date.stop)
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correct <- data_wide[!select, ]
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correct$identi <- "correct"
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corrupt <- data_wide[select, ]
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corrupt$identi <- "corrupt"
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if (event != "move") {
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corrupt_ids <- aggregate(trace ~ eventId, corrupt, function(x) length(unique(x)))
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d1 <- nrow(corrupt)
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corrupt_ids <- corrupt_ids$eventId[corrupt_ids$trace != 1]
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corrupt <- corrupt[!corrupt$eventId %in% corrupt_ids, ]
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d2 <- nrow(corrupt)
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if (d2 < d1) {
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corrupt <- corrupt[!is.na(corrupt$date.start), ]
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warning(paste0(d1 - d2, " events spanning two log files have been removed since it could not be resolved how to close them."))
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}
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}
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close_open_eventIds <- function(df, eventId) {
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dfid <- df[df$eventId == eventId, ]
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dfid <- dfid[!is.na(dfid$eventId), ]
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dfid <- dfid[order(dfid$fileId), ]
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if (nrow(dfid) == 2) {
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out <- dfid[1, ]
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out[, c("date.stop", "timeMs.stop", "x.stop", "y.stop", "scale.stop",
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"rotation.stop")] <-
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dfid[2, c("date.stop", "timeMs.stop", "x.stop",
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"y.stop", "scale.stop", "rotation.stop")]
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} else if (nrow(dfid) > 2) {
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stop("More than two rows for open eventIds. Something is wrong!")
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} else {
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out <- dfid
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}
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out
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}
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fixed <- dplyr::bind_rows(lapply(unique(corrupt$eventId),
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close_open_eventIds, df = corrupt))
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# FIXME: Something is wrong with the traces for `move`, `openTopic`,
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# `openPopup` --> I have correct eventIds that have two different traces
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# -- that cannot be! (I also have correct different traces, that have the
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# same eventId...)
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data_wide <- rbind(correct, fixed)
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for (d in drop) data_wide[d] <- NA
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data_wide$distance <- NA
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data_wide$scaleSize <- NA
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@ -102,7 +227,13 @@ close_events <- function(data, event = c("move", "flipCard", "openTopic", "openP
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data_wide <- move_wide
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}
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out <- data_wide[, c("fileId", "folder", "event", "artwork", "trace",
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# remove durations that span more than one log file
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data_wide$duration[data_wide$identi == "corrupt"] <- NA
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# TODO: Maybe there is a better solution for this?
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out <- data_wide[# !apply(data_wide, 1, function(x) all(is.na(x))),
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# remove all NA rows
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c("fileId", "folder", "event", "artwork", "trace",
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"glossar", "date.start", "date.stop",
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"timeMs.start", "timeMs.stop", "duration",
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"topicNumber", "popup", "x.start", "y.start",
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@ -13,7 +13,7 @@
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create_eventlogs <- function(data, xmlpath) {
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if (!lubridate::is.POSIXt(data$date)){
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cat("########## Convertion variable `date` to POSIXct ##########", "\n")
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cat("########## Converting variable `date` to POSIXct ##########", "\n")
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data$date <- as.POSIXct(data$date)
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}
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data$glossar <- ifelse(data$artwork == "glossar", 1, 0)
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