/inst/characterization/Pathways-Analysis.json
into ATLASextras/ExportPathwaysResults.R
ra-pathway-design.json
, ra-pathway-result.json
which respectively contain the design & results of the execution.E:\EhdenPathwaysResults\results
with a subfolder per data source.extras/pathwayResultsViewer.html
was used to transform the ATLAS results into a CSV. The resulting CSV was then saved to the results folder with the ATLAS exported results. The code for the webapp was hosted on a local web server and the JavaScript dependencies were taken from ATLAS. Specifically, the JavaScript subfolders: js\*
, node_modules\file-saver
extras\MakeBigCSV.R
is used to assemble all of the individual set of result CSVs into a single, big CSV with all of the results pulled together: E:\EhdenPathwaysResults\results\EhdenRaDrugUtilization_1yr_pathways_results.csv
EhdenRaDrugUtilization_1yr_pathways_results.csv
was loaded into a PostgreSQL DB to analyze the data.inst/sql/postgresql/Pull-EHDEN-DUS-Results.sql
. Additionally, a database
table was created to hold the various attributes for each data source that supplied results for th study.inst/shiny/ResultsExplorer/data
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