Some cosmetic changes
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R/add_case.R
21
R/add_case.R
@ -1,7 +1,4 @@
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###########################################################################
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###########################################################################
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# Add case variable
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add_case <- function(data, cutoff = 20) {
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add_case <- function(data, cutoff = 20) {
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# TODO: What is the best choice for the cutoff here?
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# TODO: What is the best choice for the cutoff here?
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@ -9,13 +6,6 @@ add_case <- function(data, cutoff = 20) {
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dat_split <- split(data, ~ path)
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dat_split <- split(data, ~ path)
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time_minmax <- function(subdata) {
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subdata$min_time <- min(subdata$date.start)
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subdata$max_time <- ifelse(all(is.na(subdata$date.stop)), NA,
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max(subdata$date.stop, na.rm = TRUE))
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subdata
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}
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dat_list <- pbapply::pblapply(dat_split, time_minmax)
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dat_list <- pbapply::pblapply(dat_split, time_minmax)
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dat_minmax <- dplyr::bind_rows(dat_list)
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dat_minmax <- dplyr::bind_rows(dat_list)
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@ -36,3 +26,14 @@ add_case <- function(data, cutoff = 20) {
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data
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data
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}
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}
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###########################################################################
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time_minmax <- function(subdata) {
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subdata$min_time <- min(subdata$date.start)
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if (all(is.na(subdata$date.stop))) {
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subdata$max_time <- NA
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} else {
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subdata$max_time <- max(subdata$date.stop, na.rm = TRUE)
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}
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subdata
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}
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@ -130,9 +130,6 @@ add_path <- function(data, xmlpath, glossar) {
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}
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}
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###########################################################################
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###########################################################################
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# Add path for moves
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add_path_moves <- function(data, cutoff) {
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add_path_moves <- function(data, cutoff) {
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pbapply::pboptions(style = 3, char = "=")
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pbapply::pboptions(style = 3, char = "=")
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@ -151,7 +148,7 @@ add_path_moves <- function(data, cutoff) {
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out
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out
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}
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}
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###########################################################################
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add_path_subdata <- function(subdata, cutoff) {
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add_path_subdata <- function(subdata, cutoff) {
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index_flipCard <- which(subdata$event == "flipCard")
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index_flipCard <- which(subdata$event == "flipCard")
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current_item <- unique(subdata$item)
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current_item <- unique(subdata$item)
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@ -81,31 +81,19 @@ create_eventlogs <- function(data, xmlpath = NULL, case_cutoff = 20,
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# Remove moves where stop is before start (3)
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# Remove moves where stop is before start (3)
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dat4 <- dat4[dat4$fIdDiff >= 0 | is.na(dat4$fIdDiff), ]
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dat4 <- dat4[dat4$fIdDiff >= 0 | is.na(dat4$fIdDiff), ]
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dat4$duration[which(dat4$fIdDiff > 0)] <-
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# Overwrite timeMs.stop with corrected values
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dat4$fIdDiff[which(dat4$fIdDiff > 0)] * 600000 -
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dat4$timeMs.stop[which(dat4$fIdDiff > 0)] <-
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dat4$timeMs.start[which(dat4$fIdDiff > 0)] +
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dat4$fIdDiff[which(dat4$fIdDiff > 0)] * 600000 +
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dat4$timeMs.stop[which(dat4$fIdDiff > 0)]
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dat4$timeMs.stop[which(dat4$fIdDiff > 0)]
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dat4$duration[which(dat4$fIdDiff > 0)] <-
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dat4$timeMs.stop[which(dat4$fIdDiff > 0)] -
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dat4$timeMs.start[which(dat4$fIdDiff > 0)]
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dat4$fIdNum.start <- NULL
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dat4$fIdNum.start <- NULL
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dat4$fIdNum.stop <- NULL
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dat4$fIdNum.stop <- NULL
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dat4$fIdDiff <- NULL
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dat4$fIdDiff <- NULL
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# Remove fragmented paths ###############################################
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# tab <- stats::xtabs( ~ path + event, dat4)
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# fragments <- NULL
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# for (i in seq_len(nrow(tab))) {
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# if (tab[i, "openPopup"] != 0 & tab[i, "flipCard"] == 0) {
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# fragments <- c(fragments, rownames(tab)[i])
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# } else if (tab[i, "openTopic"] != 0 & tab[i, "flipCard"] == 0) {
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# fragments <- c(fragments, rownames(tab)[i])
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# } else if (tab[i, "openPopup"] != 0 & tab[i, "openTopic"] == 0) {
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# fragments <- c(fragments, rownames(tab)[i])
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# }
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# }
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# dat5 <- dat4[!dat4$path %in% fragments, ]
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# TODO: Decide if I want this or not - are all these log errors?
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dat5 <- dat4
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dat5 <- dat4
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if (glossar) {
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if (glossar) {
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@ -128,7 +116,8 @@ create_eventlogs <- function(data, xmlpath = NULL, case_cutoff = 20,
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}
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}
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dat7 <- dat7[order(dat7$fileId.start, dat7$date.start, dat7$timeMs.start), ]
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dat7 <- dat7[order(dat7$fileId.start, dat7$date.start, dat7$timeMs.start), ]
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if (save) save(dat, dat1, dat2, dat3, dat4, dat5, dat7, file = "results/tmp_intermediate-df.RData")
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if (save) save(dat, dat1, dat2, dat3, dat4, dat5, dat7,
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file = "results/tmp_intermediate-df.RData")
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dat7
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dat7
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}
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}
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