Some script cleaning
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# 01_preprocessing_haum.R
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# 01_preprocessing.R
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#
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# content: (1) Parse raw log files
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#          (2) Create event logs
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@ -1,4 +1,4 @@
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# 00_current_analysis.R
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# 02_descriptives.R
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#
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# content: (1) Read data
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#          (2) Descriptives
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@ -1,4 +1,4 @@
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# 05_item-clustering.R
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# 08_item-clustering.R
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#
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# content: (1) Read data
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#           (1.1) Read log event data
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@ -29,6 +29,7 @@ dat0 <- read.table("results/haum/event_logfiles_2024-01-18_09-58-52.csv",
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                                 "character", rep("numeric", 11),
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                                 "character", "character"),
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                  sep = ";", header = TRUE)
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dat0$event <- factor(dat0$event, levels = c("move", "flipCard", "openTopic",
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                                          "openPopup"))
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@ -55,11 +56,10 @@ datcase$nitems <- aggregate(item ~ case, dat, function(x)
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                            length(unique(x)), na.action = NULL)$item
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datcase$npaths <- aggregate(path ~ case, dat, function(x)
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                            length(unique(x)), na.action = NULL)$path
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# datcase$ntopics <- aggregate(topic ~ case, dat,
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#                              function(x) ifelse(all(is.na(x)), NA, length(unique(na.omit(x)))),
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#                              na.action = NULL)$topic
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#
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#                              function(x) ifelse(all(is.na(x)), NA,
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#                              length(unique(na.omit(x)))), na.action =
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#                              NULL)$topic
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datcase$vacation <- aggregate(vacation ~ case, dat,
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                              function(x) ifelse(all(is.na(x)), 0, 1),
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                              na.action = NULL)$vacation
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@ -120,7 +120,7 @@ write.table(res,
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            quote = FALSE,
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            row.names = FALSE)
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#--------------- (2) Investigate variants ---------------
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#--------------- (3) Investigate variants ---------------
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res$start <- res$date.start
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res$complete <- res$date.stop
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