Removed NA removal since it is not needed
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@ -9,7 +9,7 @@
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# output: results/dataframes_case_2019.RData
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# output: results/dataframes_case_2019.RData
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# results/centrality_cases.RData
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# results/centrality_cases.RData
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#
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#
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# last mod: 2024-04-17
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# last mod: 2024-04-25
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# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/MDS/2023ss/60100_master_thesis/analysis/")
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# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/MDS/2023ss/60100_master_thesis/analysis/")
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@ -91,21 +91,6 @@ datcase$max_time <- NULL
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artworks <- unique(dat$item)[!unique(dat$item) %in% c("501", "502", "503")]
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artworks <- unique(dat$item)[!unique(dat$item) %in% c("501", "502", "503")]
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datcase$infocardOnly <- pbapply::pbsapply(dat_split, check_infocards, artworks = artworks)
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datcase$infocardOnly <- pbapply::pbsapply(dat_split, check_infocards, artworks = artworks)
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# Clean up NAs
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datcase$distance <- ifelse(is.na(datcase$distance), 0, datcase$distance)
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datcase$scaleSize <- ifelse(is.na(datcase$scaleSize), 1, datcase$scaleSize)
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datcase$rotationDegree <- ifelse(is.na(datcase$rotationDegree), 0, datcase$rotationDegree)
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datcase$artist <- ifelse(is.na(datcase$artist), 0, datcase$artist)
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datcase$details <- ifelse(is.na(datcase$details), 0, datcase$details)
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datcase$extra_info <- ifelse(is.na(datcase$extra_info), 0, datcase$extra_info)
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datcase$komposition <- ifelse(is.na(datcase$komposition), 0, datcase$komposition)
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datcase$leben_des_kunstwerks <- ifelse(is.na(datcase$leben_des_kunstwerks), 0, datcase$leben_des_kunstwerks)
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datcase$licht_und_farbe <- ifelse(is.na(datcase$licht_und_farbe), 0, datcase$licht_und_farbe)
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datcase$technik <- ifelse(is.na(datcase$technik), 0, datcase$technik)
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datcase$thema <- ifelse(is.na(datcase$thema), 0, datcase$thema)
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datcase$ntopics <- ifelse(is.na(datcase$ntopics), 0, datcase$ntopics)
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datcase$ntopiccards <- ifelse(is.na(datcase$ntopiccards), 0, datcase$ntopiccards)
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#--------------- (3) Select features for navigation behavior ---------------
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#--------------- (3) Select features for navigation behavior ---------------
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# Features for navigation types for MTT:
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# Features for navigation types for MTT:
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@ -159,7 +144,7 @@ rm(tmp)
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dattree$InfocardOnly <- factor(datcase$infocardOnly, levels = 0:1,
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dattree$InfocardOnly <- factor(datcase$infocardOnly, levels = 0:1,
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labels = c("no", "yes"))
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labels = c("no", "yes"))
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# Add pattern to datcase; loosely based on Bousbia et al. (2009)
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# Add pattern to dattree; loosely based on Bousbia et al. (2009)
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dattree$Pattern <- "Dispersion"
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dattree$Pattern <- "Dispersion"
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dattree$Pattern <- ifelse(dattree$PathLinearity > 0.8, "Scholar",
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dattree$Pattern <- ifelse(dattree$PathLinearity > 0.8, "Scholar",
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dattree$Pattern)
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dattree$Pattern)
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@ -10,7 +10,7 @@
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# output: ../thesis/results/clustering_cases_2018.RData
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# output: ../thesis/results/clustering_cases_2018.RData
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# ../thesis/results/clustering_cases.RData
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# ../thesis/results/clustering_cases.RData
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#
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#
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# last mod: 2024-04-17
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# last mod: 2024-04-25
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# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/MDS/2023ss/60100_master_thesis/analysis/")
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# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/MDS/2023ss/60100_master_thesis/analysis/")
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@ -61,11 +61,6 @@ datcase18$max_time <- NULL
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artworks <- unique(dat$item)[!unique(dat$item) %in% c("501", "502", "503")]
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artworks <- unique(dat$item)[!unique(dat$item) %in% c("501", "502", "503")]
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datcase18$infocardOnly <- pbapply::pbsapply(dat_split, check_infocards, artworks = artworks)
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datcase18$infocardOnly <- pbapply::pbsapply(dat_split, check_infocards, artworks = artworks)
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# Clean up NAs
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datcase18$distance <- ifelse(is.na(datcase18$distance), 0, datcase18$distance)
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datcase18$scaleSize <- ifelse(is.na(datcase18$scaleSize), 1, datcase18$scaleSize)
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datcase18$rotationDegree <- ifelse(is.na(datcase18$rotationDegree), 0, datcase18$rotationDegree)
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#--------------- (3) Select features for navigation behavior ---------------
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#--------------- (3) Select features for navigation behavior ---------------
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dattree18 <- data.frame(case = datcase18$case,
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dattree18 <- data.frame(case = datcase18$case,
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