ICTUSnet WP 3.3 Analysis Dashboard for NAVARRA (2020)
Implementation by Juan González García, Javier González-Galindo, Francisco Estupiñán-Romero, Natalia Martínez-Lizaga, Micaela Comendeiro-Maaloe, Enrique Bernal-Delgado from IACS
Process discovery results
Overall
Trace Explorer
List of traces that cover 95% of the total episode count in the event logs
Process map (Frequency)
Frequency process map of episodes that cover 95% of the total episode count in the event logs
Process map (Median times)
Throughtput (median) time process map of episodes that cover 95% of the total episode count in the event logs
Precedence matrix
Precedence matrix between pairs of activities for all episodes
Ischemic Strokes
Trace Explorer
List of traces that cover 95% of the total episode count in the event logs
Process map (Frequency)
Frequency process map of episodes that cover 95% of the total episode count in the event logs
Process map (Median times)
Throughtput (median) time process map of episodes that cover 95% of the total episode count in the event logs
Precedence matrix
Precedence matrix between pairs of activities for all episodes
Hemorrhagic Strokes
Trace Explorer
List of traces that cover 95% of the total episode count in the event logs
Process map (Frequency)
Frequency process map of episodes that cover 95% of the total episode count in the event logs
Process map (Median times)
Throughtput (median) time process map of episodes that cover 95% of the total episode count in the event logs
Precedence matrix
Precedence matrix between pairs of activities for all episodes
R Session Info
This information is for debug purposes only
## R version 3.3.3 (2017-03-06)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Debian GNU/Linux 9 (stretch)
##
## locale:
## [1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8 LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8 LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C
##
## attached base packages:
## [1] stats graphics grDevices utils datasets base
##
## other attached packages:
## [1] DiagrammeR_1.0.1 pals_1.6 ggthemes_4.1.1 processmonitR.ICTUSnet_0.1.0 processmapR.ICTUSnet_0.3.2.20190530 eventdataR_0.2.0 edeaR.ICTUSnet_0.8.2 bupaR.ICTUSnet_0.4.2 mongolite_2.0.1 forcats_0.4.0 stringr_1.4.0 dplyr_0.8.0.1 purrr_0.3.2 readr_1.3.1 tidyr_0.8.3 tibble_2.1.1 ggplot2_3.1.1 tidyverse_1.2.1 htmltools_0.3.6 knitr_1.22 rmarkdown_1.12
##
## loaded via a namespace (and not attached):
## [1] nlme_3.1-129 lubridate_1.7.4 RColorBrewer_1.1-2 httr_1.4.0 tools_3.3.3 backports_1.1.4 R6_2.4.0 lazyeval_0.2.2 colorspace_1.4-1 withr_2.1.2 tidyselect_0.2.5 gridExtra_2.3 cli_1.1.0 rvest_0.3.3 xml2_1.2.0 influenceR_0.1.0 plotly_4.9.0 labeling_0.3 scales_1.0.0 askpass_1.1 digest_0.6.18 dichromat_2.0-0 pkgconfig_2.0.2 maps_3.3.0 htmlwidgets_1.3 rlang_0.3.4 readxl_1.3.1 rstudioapi_0.10 shiny_1.3.2 visNetwork_2.0.6 generics_0.0.2 zoo_1.8-5 jsonlite_1.6 rgexf_0.15.3 magrittr_1.5 Rcpp_1.0.1 munsell_0.5.0 viridis_0.5.1 stringi_1.4.3 yaml_2.2.0 plyr_1.8.4 shinyTime_0.2.1 grid_3.3.3 promises_1.0.1 crayon_1.3.4 miniUI_0.1.1.1 methods_3.3.3 lattice_0.20-34 haven_2.1.0 mapproj_1.2.6 hms_0.4.2 pillar_1.3.1
## [53] igraph_1.2.4.1 reshape2_1.4.3 XML_3.98-1.19 glue_1.3.1 evaluate_0.13 downloader_0.4 data.table_1.12.2 modelr_0.1.4 httpuv_1.5.1 cellranger_1.1.0 gtable_0.3.0 openssl_1.3 assertthat_0.2.1 xfun_0.6 mime_0.6 xtable_1.8-4 broom_0.5.2 later_0.8.0 viridisLite_0.3.0 Rook_1.1-1 brew_1.0-6