Refactoring and debugging; especially add_trace() and create_glossardict()
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107
R/add_trace.R
Normal file
107
R/add_trace.R
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@ -0,0 +1,107 @@
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###########################################################################
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add_trace_artworks <- function(subdata) {
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last_event <- subdata$event[1]
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artworks <- unique(subdata$artwork)[unique(subdata$artwork) != "glossar"]
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n <- 1 # count artworks for progress
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pb <- utils::txtProgressBar(min = 0, max = nrow(subdata), initial = NA,
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style = 3)
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for (artwork in artworks) {
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cat("\n\nAdding trace variable for artwork", artwork,
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paste0("(", n, "/", length(artworks), ")"), "\n")
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for (i in 1:nrow(subdata)) {
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if (last_event == "Show Info" & subdata$artwork[i] == artwork) {
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subdata$trace[i] <- i
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j <- i
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} else if (last_event == "Show Front" & subdata$artwork[i] == artwork) {
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subdata$trace[i] <- j
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} else if (!(last_event %in% c("Show Info", "Show Front")) &
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subdata$artwork[i] == artwork) {
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subdata$trace[i] <- j
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}
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if (i <= nrow(subdata)) {
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last_event <- subdata$event[i + 1]
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}
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utils::setTxtProgressBar(pb, i)
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}
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n <- n + 1
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}
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subdata
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}
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###########################################################################
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add_trace_glossar <- function(subdata, glossar_dict) {
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pb <- utils::txtProgressBar(min = 0, max = nrow(subdata), initial = NA,
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style = 3)
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# Fix glossar entries (find corresponding artworks and fill in trace)
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glossar_files <- unique(subdata[subdata$artwork == "glossar", "popup"])
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# load lookup table for artworks and glossar files
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lut <- glossar_dict[names(glossar_dict) %in% glossar_files]
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inside <- glossar_files[glossar_files %in%
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names(lut[sapply(lut, length) == 1])]
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single_art <- unlist(lut[names(lut) %in% inside])
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m <- 1
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for (file in names(lut)) {
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cat("\n\nAdding trace variable for glossar entry", file,
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paste0("(", m, "/", length(lut), ")"), "\n")
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artwork_list <- unlist(lut[names(lut) == file])
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for (i in seq_len(nrow(subdata))) {
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if (subdata$event[i] == "Show Info" |
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(subdata$event[i] == "Artwork/OpenCard" &
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subdata$artwork[i] %in% single_art)) {
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current_artwork <- subdata[i, "artwork"]
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j <- i
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k <- i
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} else {
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current_artwork <- current_artwork
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}
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if (subdata$event[i] == "Show Front" & subdata$artwork[i] == current_artwork) {
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# make sure artwork has not been closed, yet!
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k <- i
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}
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if (subdata$artwork[i] == "glossar" &
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(current_artwork %in% artwork_list) &
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subdata$popup[i] == file & (j - k == 0)) {
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subdata[i, "trace"] <- subdata[j, "trace"]
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subdata[i, "artwork"] <- current_artwork
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}
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utils::setTxtProgressBar(pb, i)
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}
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m <- m + 1
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}
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# Exclude not matched glossar entries
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cat("\n\nINFORMATION: glossar entries that are not matched will be removed:",
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sum(is.na(subdata[subdata$glossar == 1, "trace"])), "entries",
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fill = TRUE)
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subset(subdata, !is.na(subdata$trace))
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}
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###########################################################################
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add_trace <- function(data, glossar_dict) {
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data$trace <- NA
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subdata1 <- data[data$event %in% c("Transform start", "Transform stop"), ]
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subdata2 <- data[!data$event %in% c("Transform start", "Transform stop"), ]
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subdata2 <- add_trace_artworks(subdata2)
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subdata2 <- add_trace_glossar(subdata2, glossar_dict)
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out <- rbind(subdata1, subdata2)
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out <- out[order(out$fileId, out$date, out$timeMs), ]
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out
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}
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114
R/close_events.R
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114
R/close_events.R
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@ -0,0 +1,114 @@
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###########################################################################
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close_events <- function(data, event = c("move", "flipCard", "openTopic", "openPopup")) {
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event <- match.arg(event)
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switch(event,
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"move" = {
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actions <- c("Transform start", "Transform stop")
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idvar <- c("fileId", "eventId", "artwork", "glossar")
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drop <- c("popup", "topicNumber", "trace", "event")
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ncol <- 16
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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", "trace", "artwork", "glossar")
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drop <- c("popup", "topicNumber", "eventId", "event")
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ncol <- 16
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},
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"openTopic" = {
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actions <- c("Artwork/OpenCard", "Artwork/CloseCard")
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idvar <- c("fileId", "eventId", "trace", "glossar", "artwork",
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"topicNumber")
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drop <- c("popup", "event")
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ncol <- 18
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},
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"openPopup" = {
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actions <- c("ShowPopup", "HidePopup")
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idvar <- c("fileId", "eventId", "trace", "glossar", "artwork", "popup")
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drop <- c("topicNumber", "event")
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ncol <- 18
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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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subdata <- subset(data, data$event %in% actions)
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subdata <- subdata[order(subdata$artwork, subdata$popup, subdata$date, subdata$timeMs), ]
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subdata$time <- ifelse(subdata$event == actions[1], "start", "stop")
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num_start <- diff(c(0, which(subdata$event == actions[2])))
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if (utils::tail(subdata, 1)$time == "start") {
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num_start <- c(num_start, 1)
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}
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subdata$eventId <- rep(seq_along(num_start), num_start)
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if (event == "move") {
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subdata <- subdata[!duplicated(subdata[, c("event", "eventId")]), ]
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id_stop <- which(subdata$event == actions[2])
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id_rm_stop <- id_stop[diff(id_stop) == 1]
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subdata <- subdata[-(id_rm_stop + 1), ]
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}
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subdata_split <- split(subdata, ~ fileId)
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pbapply::pboptions(style = 3, char = "=")
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subdata_split_wide <- pbapply::pblapply(subdata_split, stats::reshape,
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direction = "wide",
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idvar = idvar,
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timevar = "time",
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drop = drop)
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# suppressWarnings(
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# data_wide <- stats::reshape(subdata, direction = "wide",
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# idvar = idvar,
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# timevar = "time",
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# drop = drop)
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# )
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# remove entries with only start or stop events since they do not have
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# all columns
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ids <- which(sapply(subdata_split_wide, ncol) != ncol)
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if (length(ids) > 0) subdata_split_wide <- subdata_split_wide[-ids]
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data_wide <- dplyr::bind_rows(subdata_split_wide)
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for (d in drop) data_wide[d] <- NA
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data_wide$distance <- NA
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data_wide$scaleSize <- NA
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data_wide$rotationDegree <- NA
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data_wide$event <- event
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data_wide$duration <- data_wide$timeMs.stop - data_wide$timeMs.start
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if (event == "move") {
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data_wide$distance <- apply(
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data_wide[, c("x.start", "y.start", "x.stop", "y.stop")], 1,
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function(x) stats::dist(matrix(x, 2, 2, byrow = TRUE)))
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data_wide$rotationDegree <- data_wide$rotation.stop -
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data_wide$rotation.start
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data_wide$scaleSize <- data_wide$scale.stop / data_wide$scale.start
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# remove moves without any change
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move_wide <- data_wide[data_wide$distance != 0 &
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data_wide$rotationDegree != 0 &
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data_wide$scaleSize != 1, ]
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cat(paste("INFORMATION:", nrow(data_wide) - nrow(move_wide),
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"lines containing move events were removed since they did",
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"\nnot contain any change"), fill = TRUE)
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data_wide <- move_wide
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}
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out <- data_wide[, c("fileId", "event", "artwork", "trace", "glossar",
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"date.start", "date.stop", "timeMs.start",
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"timeMs.stop", "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", "rotation.stop",
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"rotationDegree")]
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rownames(out) <- NULL
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out
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}
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@ -5,25 +5,36 @@
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#'
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#' @param data Data frame of raw log files created with `parse_logfiles()`.
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#' See `?parse_logfiles` for more details.
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#' @param xmlpath Path to folder where XML definitions of artworks live.
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#' @return Data frame.
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#' @export
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#' @examples
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#' # tbd
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create_eventlogs <- function(data) {
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create_eventlogs <- function(data, xmlpath) {
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data$date <- as.POSIXct(data$date)
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if (!lubridate::is.POSIXt(data$date)){
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cat("########## Convertion variable `date` to POSIXct ##########", "\n")
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data$date <- as.POSIXct(data$date)
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}
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data$glossar <- ifelse(data$artwork == "glossar", 1, 0)
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# Remove irrelevant events
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dat <- subset(data, !(data$event %in% c("Start Application",
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"Show Application")))
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# Create glossar dictionary ##############################################
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cat("\n########## Creating glossar dictionary ##########", "\n")
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artworks <- unique(stats::na.omit(dat$artwork))
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artworks <- artworks[artworks != "glossar"]
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glossar_files <- unique(subset(dat, dat$artwork == "glossar")$popup)
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glossar_dict <- create_glossardict(artworks, glossar_files, path = xmlpath)
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# Add trace variable #####################################################
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cat("########## Adding trace variable... ##########", "\n")
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dat1 <- add_trace(dat)
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cat("\n########## Adding trace variable... ##########", "\n")
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dat1 <- add_trace(dat, glossar_dict)
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# Close events
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cat("########## Closing events... ##########", "\n")
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cat("\n########## Closing events... ##########", "\n")
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c1 <- close_events(dat1, "move")
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cat("## --> move events closed.", "\n")
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c2 <- close_events(dat1, "flipCard")
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@ -47,7 +58,7 @@ create_eventlogs <- function(data) {
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rownames(dat2) <- NULL
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# Add case variable ######################################################
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cat("########## Adding case and eventId variables... ##########", "\n")
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cat("\n########## Adding case and eventId variables... ##########", "\n\n")
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dat3 <- add_case(dat2)
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# Add event ID ###########################################################
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@ -62,16 +73,16 @@ create_eventlogs <- function(data) {
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"rotationDegree")]
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# Add trace for move events ##############################################
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cat("\n########## Adding trace variable for move events... ##########", "\n")
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cat("\n\n########## Adding trace variable for move events... ##########", "\n")
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dat4 <- add_trace_moves(dat3)
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# Add topics: file names and topics ######################################
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cat("########## Adding information about topics... ##########", "\n")
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cat("\n########## Adding information about topics... ##########", "\n\n")
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artworks <- unique(dat4$artwork)
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# remove artworks without XML information
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artworks <- artworks[!artworks %in% c("504", "505")]
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topics <- extract_topics(artworks, pattern = paste0(artworks, ".xml"),
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path = "../data/ContentEyevisit/eyevisit_cards_light/")
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path = xmlpath)
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dat5 <- add_topic(dat4, topics = topics)
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dat5
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23
R/create_glossardict.R
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23
R/create_glossardict.R
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create_glossardict <- function(artworks, glossar_files, path) {
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x <- NULL
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for (glossar_file in glossar_files) {
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for (artwork in artworks) {
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fnames <- dir(pattern = paste0(artwork, "_"), path = paste0(path, artwork))
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for (fname in fnames) {
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suppressWarnings(
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lines <- readLines(paste0(path, artwork, "/", fname))
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)
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if (any(grepl(glossar_file, lines))) {
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x <- rbind(x, data.frame(glossar_file, artwork))
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break # if one match is found, we are done
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}
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}
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}
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}
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tapply(x$artwork, x$glossar_file, FUN = c)
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}
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# TODO: Get rid of (at least 2) loops
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# TODO: Add progress bars
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232
R/helper.R
232
R/helper.R
@ -1,236 +1,5 @@
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###########################################################################
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# Add trace variable
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add_trace <- function(data, glossar_dict = "../data/glossar_dict.RData") {
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data$trace <- NA
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subdata1 <- data[data$event %in% c("Transform start", "Transform stop"), ]
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subdata2 <- data[!data$event %in% c("Transform start", "Transform stop"), ]
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last_event <- subdata2$event[1]
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artworks <- unique(subdata2$artwork)[unique(subdata2$artwork) != "glossar"]
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n <- 1 # count artworks for progress
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pb <- utils::txtProgressBar(min = 0, max = nrow(subdata2), initial = NA,
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style = 3)
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for (artwork in artworks) {
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cat("\n\nAdding trace variable for artwork", artwork,
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paste0("(", n, "/", length(artworks), ")"), "\n")
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for (i in 1:nrow(subdata2)) {
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if (last_event == "Show Info" & subdata2$artwork[i] == artwork) {
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subdata2$trace[i] <- i
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j <- i
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} else if (last_event == "Show Front" & subdata2$artwork[i] == artwork) {
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subdata2$trace[i] <- j
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} else if (!(last_event %in% c("Show Info", "Show Front")) &
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subdata2$artwork[i] == artwork) {
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subdata2$trace[i] <- j
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}
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if (i <= nrow(subdata2)) {
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last_event <- subdata2$event[i + 1]
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}
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utils::setTxtProgressBar(pb, i)
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}
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n <- n + 1
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}
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# Fix glossar entries (find corresponding artworks and fill in trace)
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glossar_files <- unique(subdata2[subdata2$artwork == "glossar", "popup"])
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# load lookup table for artworks and glossar files
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load(glossar_dict)
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lut <- glossar_dict[glossar_dict$glossar_file %in% glossar_files, ]
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inside <- glossar_files[glossar_files %in%
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lut[sapply(lut$artwork, length) == 1,
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"glossar_file"]]
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single_art <- unlist(lut[lut$glossar_file %in% inside, "artwork"])
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m <- 1
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for (file in lut$glossar_file) {
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cat("\n\nAdding trace variable for glossar entry", file,
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paste0("(", m, "/", length(lut$glossar_file), ")"), "\n")
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artwork_list <- unlist(lut[lut$glossar_file == file, "artwork"])
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for (i in seq_len(nrow(subdata2))) {
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if (subdata2$event[i] == "Show Info" |
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(subdata2$event[i] == "Artwork/OpenCard" &
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subdata2$artwork[i] %in% single_art)) {
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current_artwork <- subdata2[i, "artwork"]
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j <- i
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k <- i
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} else {
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current_artwork <- current_artwork
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}
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if (subdata2$event[i] == "Show Front" & subdata2$artwork[i] == current_artwork) {
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# make sure artwork has not been closed, yet!
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k <- i
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}
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if (subdata2$artwork[i] == "glossar" &
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(current_artwork %in% artwork_list) &
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subdata2$popup[i] == file & (j - k == 0)) {
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subdata2[i, "trace"] <- subdata2[j, "trace"]
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subdata2[i, "artwork"] <- current_artwork
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}
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utils::setTxtProgressBar(pb, i)
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}
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m <- m + 1
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}
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# Exclude not matched glossar entries
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cat("\n\nINFORMATION: glossar entries that are not matched will be removed:",
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sum(is.na(subdata2[subdata2$glossar == 1, "trace"])), "entries",
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#proportions(table(is.na(subdata2[subdata2$glossar == 1, "trace"]))),
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fill = TRUE)
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subdata2 <- subset(subdata2, !is.na(subdata2$trace))
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# REMEMBER: It can never be 100% correct, since it is always possible
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# that several cards are open and that they link to the same glossar
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# entry
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# dat2[14110:14130, ]
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# dat2[dat2$glossar == 1, ]
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out <- rbind(subdata1, subdata2)
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out <- out[order(out$fileId, out$date, out$timeMs), ]
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out
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}
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###########################################################################
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close_events <- function(data, event = c("move", "flipCard", "openTopic", "openPopup")) {
|
||||
|
||||
event <- match.arg(event)
|
||||
|
||||
switch(event,
|
||||
"move" = {
|
||||
actions <- c("Transform start", "Transform stop")
|
||||
idvar <- c("fileId", "eventId", "artwork", "glossar")
|
||||
drop <- c("popup", "topicNumber", "trace", "event")
|
||||
ncol <- 16
|
||||
|
||||
},
|
||||
"flipCard" = {
|
||||
actions <- c("Show Info", "Show Front")
|
||||
idvar <- c("fileId", "trace", "artwork", "glossar")
|
||||
drop <- c("popup", "topicNumber", "eventId", "event")
|
||||
ncol <- 16
|
||||
|
||||
},
|
||||
"openTopic" = {
|
||||
actions <- c("Artwork/OpenCard", "Artwork/CloseCard")
|
||||
idvar <- c("fileId", "eventId", "trace", "glossar", "artwork",
|
||||
"topicNumber")
|
||||
drop <- c("popup", "event")
|
||||
ncol <- 18
|
||||
|
||||
},
|
||||
"openPopup" = {
|
||||
actions <- c("ShowPopup", "HidePopup")
|
||||
idvar <- c("fileId", "eventId", "trace", "glossar", "artwork", "popup")
|
||||
drop <- c("topicNumber", "event")
|
||||
ncol <- 18
|
||||
# TODO: Should topicNumber maybe also be filled in for "openPopup"?
|
||||
|
||||
}
|
||||
)
|
||||
|
||||
subdata <- subset(data, data$event %in% actions)
|
||||
subdata <- subdata[order(subdata$artwork, subdata$popup, subdata$date, subdata$timeMs), ]
|
||||
subdata$time <- ifelse(subdata$event == actions[1], "start", "stop")
|
||||
num_start <- diff(c(0, which(subdata$event == actions[2])))
|
||||
if (utils::tail(subdata, 1)$time == "start") {
|
||||
num_start <- c(num_start, 1)
|
||||
}
|
||||
subdata$eventId <- rep(seq_along(num_start), num_start)
|
||||
|
||||
if (event == "move") {
|
||||
subdata <- subdata[!duplicated(subdata[, c("event", "eventId")]), ]
|
||||
id_stop <- which(subdata$event == actions[2])
|
||||
id_rm_stop <- id_stop[diff(id_stop) == 1]
|
||||
subdata <- subdata[-(id_rm_stop + 1), ]
|
||||
}
|
||||
|
||||
subdata_split <- split(subdata, ~ fileId)
|
||||
|
||||
pbapply::pboptions(style = 3, char = "=")
|
||||
|
||||
subdata_split_wide <- pbapply::pblapply(subdata_split, stats::reshape,
|
||||
direction = "wide",
|
||||
idvar = idvar,
|
||||
timevar = "time",
|
||||
drop = drop)
|
||||
# suppressWarnings(
|
||||
# data_wide <- stats::reshape(subdata, direction = "wide",
|
||||
# idvar = idvar,
|
||||
# timevar = "time",
|
||||
# drop = drop)
|
||||
# )
|
||||
|
||||
# remove entries with only start or stop events since they do not have
|
||||
# all columns
|
||||
ids <- which(sapply(subdata_split_wide, ncol) != ncol)
|
||||
if (length(ids) > 0) subdata_split_wide <- subdata_split_wide[-ids]
|
||||
|
||||
data_wide <- dplyr::bind_rows(subdata_split_wide)
|
||||
|
||||
for (d in drop) data_wide[d] <- NA
|
||||
data_wide$distance <- NA
|
||||
data_wide$scaleSize <- NA
|
||||
data_wide$rotationDegree <- NA
|
||||
|
||||
data_wide$event <- event
|
||||
data_wide$duration <- data_wide$timeMs.stop - data_wide$timeMs.start
|
||||
|
||||
if (event == "move") {
|
||||
data_wide$distance <- apply(
|
||||
data_wide[, c("x.start", "y.start", "x.stop", "y.stop")], 1,
|
||||
function(x) stats::dist(matrix(x, 2, 2, byrow = TRUE)))
|
||||
data_wide$rotationDegree <- data_wide$rotation.stop -
|
||||
data_wide$rotation.start
|
||||
data_wide$scaleSize <- data_wide$scale.stop / data_wide$scale.start
|
||||
# remove moves without any change
|
||||
move_wide <- data_wide[data_wide$distance != 0 &
|
||||
data_wide$rotationDegree != 0 &
|
||||
data_wide$scaleSize != 1, ]
|
||||
cat(paste("INFORMATION:", nrow(data_wide) - nrow(move_wide),
|
||||
"lines containing move events were removed since they did",
|
||||
"\nnot contain any change"), fill = TRUE)
|
||||
data_wide <- move_wide
|
||||
}
|
||||
|
||||
out <- data_wide[, c("fileId", "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(out) <- NULL
|
||||
out
|
||||
}
|
||||
|
||||
###########################################################################
|
||||
|
||||
# Add case variable
|
||||
|
||||
add_case <- function(data, cutoff = 20) {
|
||||
@ -409,6 +178,7 @@ add_topic <- function(data, topics) {
|
||||
|
||||
#out <- do.call(rbind, dat_topic)
|
||||
out <- dplyr::bind_rows(dat_topic)
|
||||
out$topicIndex <- as.numeric(out$topicIndex)
|
||||
out <- out[order(out$fileId, out$date.start, out$timeMs.start), ]
|
||||
rownames(out) <- NULL
|
||||
out
|
||||
|
||||
@ -5,8 +5,8 @@
|
||||
#' timestamps will be off and one will get negative durations later on
|
||||
#' since the wrong events get closed.
|
||||
#'
|
||||
#' @param x file name in the form of `yyyy_mm_dd-hh_mm_ss.
|
||||
#' @param dirpaths Paths on system where files live that should be renamed.
|
||||
#' @param fnames File name in the form of `yyyy_mm_dd-hh_mm_ss`, possible
|
||||
#' with missing zero left padding.
|
||||
#' @return Left padded file names.
|
||||
#' @examples
|
||||
#' # folders <- "all"
|
||||
@ -15,7 +15,7 @@
|
||||
#' # leftpad_fnames(fnames)
|
||||
leftpad_fnames <- function(fnames) {
|
||||
|
||||
z <- sapply(fnames, function(x) tail(strsplit(x, "/")[[1]], 1),
|
||||
z <- sapply(fnames, function(x) utils::tail(strsplit(x, "/")[[1]], 1),
|
||||
USE.NAMES = FALSE)
|
||||
ys <- strsplit(z, "_")
|
||||
|
||||
@ -43,7 +43,9 @@ leftpad_fnames <- function(fnames) {
|
||||
#'
|
||||
#' @param folders A character vector of folder names that contain the raw
|
||||
#' log files from the Multi-Touch-Table at the IWM.
|
||||
#' @param path A path to the folders.
|
||||
#' @param path A path to the folder that contains the folders specified in
|
||||
#' first argument. Needs to end in a "/"!
|
||||
# TODO: How to catch this?
|
||||
#' @param file Name of the file where parsed log files should be saved.
|
||||
#' Default is "rawdata_logfiles.csv".
|
||||
#' @param save Logical. If data frame should be returned by the function or
|
||||
@ -51,7 +53,7 @@ leftpad_fnames <- function(fnames) {
|
||||
#' @return A data frame or NULL.
|
||||
#' @export
|
||||
#' @examples
|
||||
#' # parse_logfiles("all", path = "../data/haum_logs_2016-2023/")
|
||||
#' # parse_logfiles("all", path = "../data/haum/haum_logs_2016-2023/")
|
||||
parse_logfiles <- function(folders, path, file = "rawdata_logfiles.csv",
|
||||
save = TRUE) {
|
||||
dirpaths <- paste0(path, folders)
|
||||
|
||||
@ -4,11 +4,13 @@
|
||||
\alias{create_eventlogs}
|
||||
\title{Creating log events from raw log files.}
|
||||
\usage{
|
||||
create_eventlogs(data)
|
||||
create_eventlogs(data, xmlpath)
|
||||
}
|
||||
\arguments{
|
||||
\item{data}{Data frame of raw log files created with \code{parse_logfiles()}.
|
||||
See \code{?parse_logfiles} for more details.}
|
||||
|
||||
\item{xmlpath}{Path to folder where XML definitions of artworks live.}
|
||||
}
|
||||
\value{
|
||||
Data frame.
|
||||
|
||||
@ -5,12 +5,11 @@
|
||||
\title{Left padding file names of raw log files from Multi-Touch-Table at the
|
||||
IWM.}
|
||||
\usage{
|
||||
leftpad_fnames(x, dirpaths)
|
||||
leftpad_fnames(fnames)
|
||||
}
|
||||
\arguments{
|
||||
\item{x}{file name in the form of `yyyy_mm_dd-hh_mm_ss.}
|
||||
|
||||
\item{dirpaths}{Paths on system where files live that should be renamed.}
|
||||
\item{fnames}{File name in the form of \code{yyyy_mm_dd-hh_mm_ss}, possible
|
||||
with missing zero left padding.}
|
||||
}
|
||||
\value{
|
||||
Left padded file names.
|
||||
|
||||
@ -2,7 +2,7 @@
|
||||
% Please edit documentation in R/parse_logfiles.R
|
||||
\name{parse_logfiles}
|
||||
\alias{parse_logfiles}
|
||||
\title{Creating data frame for raw log files.}
|
||||
\title{Creating data frame from raw log files.}
|
||||
\usage{
|
||||
parse_logfiles(folders, path, file = "rawdata_logfiles.csv", save = TRUE)
|
||||
}
|
||||
@ -10,7 +10,8 @@ parse_logfiles(folders, path, file = "rawdata_logfiles.csv", save = TRUE)
|
||||
\item{folders}{A character vector of folder names that contain the raw
|
||||
log files from the Multi-Touch-Table at the IWM.}
|
||||
|
||||
\item{path}{A path to the folders.}
|
||||
\item{path}{A path to the folder that contains the folders specified in
|
||||
first argument. Needs to end in a "/"!}
|
||||
|
||||
\item{file}{Name of the file where parsed log files should be saved.
|
||||
Default is "rawdata_logfiles.csv".}
|
||||
@ -26,5 +27,5 @@ Creates a data frame or CSV file from raw log files from a
|
||||
Multi-Touch-Table at the IWM.
|
||||
}
|
||||
\examples{
|
||||
# parse_logfiles("all", path = "../data/haum_logs_2016-2023/")
|
||||
# parse_logfiles("all", path = "../data/haum/haum_logs_2016-2023/")
|
||||
}
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user