Added topics to data frame
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README.md
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README.md
@ -246,6 +246,39 @@ functions.
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See `questions_number-of-cards.R` for details.
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## Extracting topics
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When I extract the topics from `index.html` I get different topics, than
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when I get them from `<artwork>.html`. At first glance, it looks like using
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`index.html` actually gives the wrong results.
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```
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topics <- extract_topics(artworks, "index.xml", path)
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topics2 <- extract_topics(artworks, paste0(artworks, ".xml"), path)
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topics[!topics$file_name %in% topics2$file_name, ]
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# artwork file_name topic index
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# 072 072_artist.xml artist 1
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# 073 073_artist.xml artist 1
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# 110 110_technik.xml technik 2
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topics2[!topics2$file_name %in% topics$file_name, ]
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# artwork file_name topic index
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# 031 031_vergleich.xml extra info 6
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# 033 033_technik.xml technik 2
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# 055 055_vergleich4.xml extra info 5
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# 063 063_thema3.xml thema 3
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# 063 063_extrainfo1.xml thema 4
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# 072 072_artist2.xml artist 1
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# 073 073_artist2.xml artist 1
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# 099 099_technik.xml technik 2
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# 110 110_technikneu.xml technik 2
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```
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For artwork 031, `index.html` only defines 5 cards (the 6th is commented
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out), but `topicNumber` for this artwork has 6 different entries. I will
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therefore extract the topics from `<artwork>.html`. (This seems also better
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compatible with other data sets like 8o8m.
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# Reading list
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* @Arizmendi2022 [$-$]
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@ -49,12 +49,14 @@ dat3 <- dat3[, c("fileId.start", "fileId.stop", "eventId", "case",
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# Add trace for move events
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dat4 <- add_trace_moves(dat3)
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# Fill in topics
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# Add topics: file names and topics
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artworks <- unique(dat4$artwork)
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topics <- extract_topics(artworks, pattern = paste0(artworks, ".xml"),
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path = "../data/ContentEyevisit/eyevisit_cards_light/")
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# topics <- read.table("../data/topics.csv", sep = ";", header = TRUE)
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# TODO: Add topics to data frame
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dat5 <- add_topic(dat4, topics = topics)
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# Export data
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write.table(dat4, "../data/event_logfiles.csv", sep = ";",
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write.table(dat5, "../data/event_logfiles.csv", sep = ";",
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row.names = FALSE)
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@ -1,42 +1,16 @@
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# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/MDS/2023ss/60100_master_thesis/data/ContentEyevisit/eyevisit_cards_light")
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rm(list=ls())
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path <- "C:/Users/nwickelmaier/Nextcloud/Documents/MDS/2023ss/60100_master_thesis/data/ContentEyevisit/eyevisit_cards_light"
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dat0 <- read.table("../../event_logfiles.csv", sep = ";", header = TRUE)
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dat0$artwork <- sprintf("%03d", dat0$artwork)
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setwd(path)
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# artwork names
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dat0 <- read.table("../../event_logfiles.csv", sep = ";", header = TRUE)
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dat0$artwork <- sprintf("%03d", dat0$artwork)
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artworks <- sort(unique(dat0$artwork))
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# create data frame with file names and topics for each artwork
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# extract topics
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topics <- extract_topics(artworks, paste0(artworks, ".xml"), path)
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dat <- NULL
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file_order <- NULL
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write.table(topics, file = "../../topics.csv", sep = ";", row.names = FALSE)
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for (artwork in artworks) {
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fnames <- dir(pattern = paste0(artwork, "_"), path = artwork, full.names = TRUE)
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topic <- NULL
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for (fname in fnames) {
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topic <- c(topic, gsub("^<card type=.(.*).>$", "\\1",
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grep("^<card type=", trimws(readLines(fname)), value = T)))
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}
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index <- paste(artwork, "index.xml", sep = "/")
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file_order <- c(file_order, gsub("^<card src=.(.*)./>$", "\\1",
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grep("^<card src=", trimws(readLines(index)), value = TRUE)))
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in_index <- fnames %in% file_order
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dat <- rbind(dat, data.frame(artwork, file_name = fnames, in_index, topic))
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}
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table(dat$artwork)
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table(dat$topic)
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# take only the ones that are actually displayed and sort in the same order
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# as indicated in index.html
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dat2 <- dat[dat$in_index, -3]
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dat2 <- dat2[order(file_order, dat2$file_name), ]
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dat2$index <- unlist(sapply(table(dat2$artwork), seq_len))
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write.table(dat2, file = "../../topics.csv", sep = ";", row.names = FALSE)
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# TODO: Keep this file?
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109
code/functions.R
109
code/functions.R
@ -184,8 +184,8 @@ close_events <- function(data, event = c("move", "flipCard", "openTopic", "openP
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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$scaleSize != 1, ]
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cat(paste("INFORMATION:", nrow(data_wide) - nrow(move_wide),
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"lines containing move events were removed since they did",
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cat(paste("INFORMATION:", nrow(data_wide) - nrow(move_wide),
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"lines containing move events were removed since they did",
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"\nnot contain any change"), fill = TRUE)
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data_wide <- move_wide
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}
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@ -212,7 +212,7 @@ add_case <- function(data, cutoff = 20) {
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data$case <- NA
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j <- 1
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for (i in seq_len(nrow(data))) {
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if (data$timediff[i] <= cutoff) {
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data$case[i] <- j
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@ -235,12 +235,12 @@ add_trace_moves <- function(data) {
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aws <- unique(data$artwork)[unique(data$artwork) != "glossar"]
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max_trace <- max(data$trace, na.rm = TRUE) + 1
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out <- NULL
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for (case in cases) {
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for (art in aws) {
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tmp <- data[data$case == case & data$artwork == art, ]
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if (nrow(tmp) != 0) {
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if (length(na.omit(unique(tmp$trace))) == 1) {
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tmp[tmp$event == "move", "trace"] <- na.omit(unique(tmp$trace))
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} else if (length(na.omit(unique(tmp$trace))) > 1) {
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@ -269,7 +269,7 @@ add_trace_moves <- function(data) {
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}
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out <- out[order(out$date.start, out$fileId.start), ]
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rownames(out) <- NULL
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# Make trace a consecutive number
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out$trace <- as.numeric(factor(out$trace, levels = unique(out$trace)))
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out
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@ -277,4 +277,101 @@ add_trace_moves <- function(data) {
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# TODO: Get rid of the loops
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# --> This takes forever...
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###########################################################################
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# Create data frame with file names and topics for each artwork
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extract_topics <- function(artworks, pattern, path) {
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dat <- NULL
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file_order <- NULL
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i <- 1
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for (artwork in artworks) {
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if (length(pattern) == 1) {
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index_file <- pattern
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} else {
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index_file <- pattern[i]
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}
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fnames <- dir(pattern = paste0(artwork, "_"),
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path = paste(path, artwork, sep = "/"))
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topic <- NULL
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for (fname in fnames) {
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suppressWarnings(
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topic <- c(topic, gsub("^<card type=.(.*).>$", "\\1",
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grep("^<card type=",
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trimws(readLines(paste(path, artwork, fname, sep = "/"))),
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value = T)))
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)
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}
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index <- paste(path, artwork, index_file, sep = "/")
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suppressWarnings(
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file_order <- c(file_order, gsub("^<card src=.*/(.*)./>$", "\\1",
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grep("^<card src=", trimws(readLines(index)),
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value = TRUE)))
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)
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in_index <- fnames %in% file_order
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dat <- rbind(dat, data.frame(artwork, file_name = fnames, in_index, topic))
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i <- i + 1
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}
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# take only the ones that are actually displayed and sort in the same order
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# as indicated in index.html
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out <- dat[dat$in_index, -3]
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out <- out[order(file_order, out$file_name), ]
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rownames(out) <- NULL
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out$index <- unlist(sapply(table(out$artwork), seq_len))
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out
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}
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###########################################################################
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# Add topics: file names and topics
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add_topic <- function(data, topics) {
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tab_art <- lapply(artworks,
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function(x) names(table(data$topicNumber[data$artwork == x])))
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names(tab_art) <- artworks
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tab_index <- lapply(tab_art, seq_along)
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dat_split <- split(data, data$artwork)
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set_label <- function(x) {
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art <- unique(x$artwork)
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x$topicIndex <- factor(x$topicNumber, labels = tab_index[[art]])
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x
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}
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dat_label <- lapply(dat_split, set_label)
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set_topic <- function(x) {
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art <- unique(x$artwork)
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labels_file <- topics[topics$artwork == art,
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"file_name"][as.numeric(levels(x$topicIndex))]
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x$topicFile <- as.character(factor(x$topicIndex, labels = labels_file))
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labels_topic <- topics[topics$artwork == art,
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"topic"][as.numeric(levels(x$topicIndex))]
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x$topic <- as.character(factor(x$topicIndex, labels = labels_topic))
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x
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}
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dat_topic <- lapply(dat_label, set_topic)
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# table(dat_topic[["501"]]$topicNumber)
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# table(dat_topic[["501"]]$topicIndex)
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# table(dat_topic[["501"]]$topicFile)
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# table(dat_topic[["501"]]$topic)
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out <- do.call(rbind, dat_topic)
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out <- out[order(out$date.start, out$fileId.start), ]
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rownames(out) <- NULL
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out
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}
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