284 lines
10 KiB
R
284 lines
10 KiB
R
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# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/MDS/2023ss/60100_master_thesis/code")
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# Read data
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dat0 <- read.table("../data/rawdata_logfiles_small.csv", sep = ";",
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header = TRUE)
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dat0$date <- as.POSIXct(dat0$date)
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dat0$glossar <- ifelse(dat0$artwork == "glossar", 1, 0)
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# remove irrelevant events
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dat <- subset(dat0, !(dat0$event %in% c("Start Application",
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"Show Application")))
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# Close move events
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close_moves <- function(data) {
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# close move events
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dat1 <- data[data$event %in% c("Transform start", "Transform stop"), ]
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dat1 <- dat1[order(dat1$artwork, dat1$date), ]
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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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# remove duplicated "Transform start" events
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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$event == "Transform stop")
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id_rm_stop <- id_stop[diff(id_stop) == 1]
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dat1 <- dat1[-(id_rm_stop + 1), ]
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# transform to wide data format
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dat1$time <- ifelse(dat1$event == "Transform start", "start", "stop")
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trans_wide <- reshape(dat1, direction = "wide",
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idvar = c("eventId", "artwork", "glossar"),
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timevar = "time",
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drop = c("popup", "topicNumber", "event")
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)
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trans_wide$event <- "move"
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trans_wide$eventId <- NULL
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trans_wide$duration <- trans_wide$timeMs.stop - trans_wide$timeMs.start
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trans_wide$distance <- apply(
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trans_wide[, c("x.start", "y.start", "x.stop", "y.stop")], 1,
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function(x) dist(matrix(x, 2, 2, byrow = TRUE)))
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trans_wide$rotationDegree <- trans_wide$rotation.stop -
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trans_wide$rotation.start
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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$topicNumber <- NA
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trans_wide$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$scaleSize != 1,
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c("fileId.start", "fileId.stop", "event", "artwork",
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"trace", "glossar", "date.start", "date.stop",
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"timeMs.start", "timeMs.stop", "duration",
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"topicNumber", "popup", "x.start", "y.start",
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"x.stop", "y.stop", "distance", "scale.start",
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"scale.stop", "scaleSize", "rotation.start",
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"rotation.stop", "rotationDegree")]
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rownames(dat_trans) <- NULL
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cat(paste("INFORMATION:", nrow(trans_wide) - nrow(dat_trans),
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"lines containing move events were removed since they did",
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"\nnot contain any change"), fill = TRUE)
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dat_trans
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}
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dat1 <- close_moves(dat)
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# TODO: Integrate this function into close_events?
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###########################################################################
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# Add trace variable
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add_trace <- function(data) {
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dat2 <- data[!data$event %in% c("Transform start", "Transform stop"), ]
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dat2$trace <- NA
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last_event <- dat2$event[1]
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aws <- unique(dat2$artwork)[unique(dat2$artwork) != "glossar"]
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#
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for (art in aws) { # select artwork
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for (i in 1:nrow(dat2)) { # go through rows
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if (last_event == "Show Info" & dat2$artwork[i] == art) {
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dat2$trace[i] <- i
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j <- i
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} else if (last_event == "Show Front" & dat2$artwork[i] == art) {
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dat2$trace[i] <- j
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} else if (!(last_event %in% c("Show Info", "Show Front")) &
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dat2$artwork[i] == art) {
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dat2$trace[i] <- j
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}
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if (i <= nrow(dat2)) {
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last_event <- dat2$event[i + 1]
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}
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}
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}
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dat2
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}
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add_trace2 <- function(data, glossar_dict = "../data/glossar_dict.RData") {
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data$trace <- NA
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dat1 <- data[data$event %in% c("Transform start", "Transform stop"), ]
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dat2 <- data[!data$event %in% c("Transform start", "Transform stop"), ]
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last_event <- dat2$event[1]
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aws <- unique(dat2$artwork)[unique(dat2$artwork) != "glossar"]
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#
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for (art in aws) { # select artwork
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for (i in 1:nrow(dat2)) { # go through rows
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if (last_event == "Show Info" & dat2$artwork[i] == art) {
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dat2$trace[i] <- i
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j <- i
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} else if (last_event == "Show Front" & dat2$artwork[i] == art) {
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dat2$trace[i] <- j
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} else if (!(last_event %in% c("Show Info", "Show Front")) &
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dat2$artwork[i] == art) {
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dat2$trace[i] <- j
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}
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if (i <= nrow(dat2)) {
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last_event <- dat2$event[i + 1]
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}
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}
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}
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glossar_files <- unique(dat2[dat2$artwork == "glossar", "popup"])
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# load lookup table for artworks and glossar files
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load(glossar_dict)
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lut <- glossar_dict[glossar_dict$glossar_file %in% glossar_files, ]
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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$glossar_file) {
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artwork_list <- unlist(lut[lut$glossar_file == file, "artwork"])
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for (i in seq_len(nrow(dat2))) {
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if (dat2$event[i] == "Show Info" |
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(dat2$event[i] == "Artwork/OpenCard" &
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dat2$artwork[i] %in% single_art)) {
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current_artwork <- dat2[i, "artwork"]
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j <- i
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k <- i
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} else {
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current_artwork <- current_artwork
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}
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if (dat2$event[i] == "Show Front" & dat2$artwork[i] == current_artwork) {
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# make sure artwork has not been closed, yet!
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k <- i
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}
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if (dat2$artwork[i] == "glossar" &
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(current_artwork %in% artwork_list) &
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dat2$popup[i] == file & (j - k == 0)) {
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dat2[i, "trace"] <- dat2[j, "trace"]
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dat2[i, "artwork"] <- current_artwork
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}
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}
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}
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cat(proportions(table(is.na(dat2[dat2$glossar == 1, "trace"]))), fill = TRUE)
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out <- rbind(dat1, dat2)
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out <- out[order(out$fileId, out$date, out$timeMs), ]
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out
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}
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tmp <- add_trace2(dat)
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###########################################################################
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close_events <- function(data, event = c("flipCard", "openTopic", "openPopup")) {
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if (event == "flipCard") {
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subdata <- subset(data, data$event %in% c("Show Info", "Show Front"))
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subdata$time <- ifelse(subdata$event == "Show Info", "start", "stop")
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subdata$eventId <- NA
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idvar <- c("trace", "artwork", "glossar")
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drop <- c("popup", "topicNumber")
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} else if (event == "openTopic") {
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subdata <- subset(data, data$event %in% c("Artwork/OpenCard", "Artwork/CloseCard"))
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subdata$time <- ifelse(subdata$event == "Artwork/OpenCard", "start", "stop")
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num_start <- diff(c(0, which(subdata$event == "Artwork/CloseCard")))
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subdata$eventId <- rep(seq_along(num_start), num_start)
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idvar <- c("eventId", "trace", "glossar", "artwork", "topicNumber")
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drop <- "popup"
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} else if (event == "openPopup") {
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subdata <- subset(data, data$event %in% c("ShowPopup", "HidePopup"))
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subdata$time <- ifelse(subdata$event == "ShowPopup", "start", "stop")
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num_start <- diff(c(0, which(subdata$event == "HidePopup")))
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subdata$eventId <- rep(seq_along(num_start), num_start)
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idvar <- c("eventId", "trace", "glossar", "artwork", "popup")
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drop <- "topicNumber"
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}
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data_wide <- reshape(subdata, direction = "wide",
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idvar = idvar,
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timevar = "time",
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drop = drop)
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data_wide$event <- event
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data_wide$duration <- data_wide$timeMs.stop - data_wide$timeMs.start
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for (d in drop) data_wide[d] <- NA
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data_wide$distance <- NA
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data_wide$scaleSize <- NA
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data_wide$rotationDegree <- NA
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out <- data_wide[, c("fileId.start", "fileId.stop", "event", "artwork",
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"trace", "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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"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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out
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# TODO: Suppress warnings?
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}
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tmp <- rbind(close_moves(dat),
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close_events(df, "flipCard"),
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close_events(df, "openTopic"),
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close_events(df, "openPopup"))
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# 'data.frame': 38607 obs. of 24 variables:
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# $ 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" ...
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# $ 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" ...
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# $ event : chr "move" "move" "move" "move" ...
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# $ artwork : chr "001" "001" "001" "001" ...
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# $ trace : int NA NA NA NA NA NA NA NA NA NA ...
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# $ glossar : num 0 0 0 0 0 0 0 0 0 0 ...
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# $ date.start : POSIXct, format: "2016-12-15 12:39:49" "2016-12-15 14:49:37" ...
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# $ date.stop : POSIXct, format: "2016-12-15 12:39:49" "2016-12-15 14:49:40" ...
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# $ timeMs.start : int 412141 400777 554506 384312 406277 533864 548467 549396 158632 194982 ...
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# $ timeMs.stop : int 412474 403784 556633 388313 407994 538185 549088 551116 160343 197099 ...
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# $ duration : int 333 3007 2127 4001 1717 4321 621 1720 1711 2117 ...
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# $ topicNumber : int NA NA NA NA NA NA NA NA NA NA ...
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# $ popup : chr NA NA NA NA ...
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# $ x.start : num 531 235 470 326 326 ...
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# $ y.start : num 1221 734 2090 747 747 ...
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# $ x.stop : num 513 360 1492 256 2459 ...
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# $ y.stop : num 1212 809 1687 643 1430 ...
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# $ distance : num 19.8 146.6 1098.5 125.2 2239.4 ...
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# $ scale.start : num 0.8 0.301 0.8 0.301 0.301 ...
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# $ scale.stop : num 0.8 0.331 0.822 0.391 0.397 ...
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# $ scaleSize : num 1 1.1 1.03 1.3 1.32 ...
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# $ rotation.start: num 116 116 90 116 116 ...
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# $ rotation.stop : num 116.3 89.6 2.8 86.1 125.8 ...
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# $ rotationDegree: num 0.00245 -26.72397 -87.19711 -30.14456 9.49951 ...
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