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A repository for a project to examine the predictive value of frequent patterns.
- Analytics use case(s): Population-Level Estimation
- Study type: Clinical Application
- Tags: -
- Study lead: S.Ioannou
- Study start date: 10 July 2022
- Study end date: -
- Protocol: add protocol
- Publications: -
- Results explorer: -
- A database in Common Data Model version 5 in one of these platforms: SQL Server, Oracle, PostgreSQL, IBM Netezza, Apache Impala, Amazon RedShift, Google BigQuery, or Microsoft APS.
- R version 4.0.5
- On Windows: RTools
- Java
- 100 GB of free disk space
-
Follow these instructions for setting up your R environment, including RTools and Java.
-
Open your study package in RStudio. Use the following code to install all the dependencies:
install.packages("renv") renv::activate() renv::restore()
-
In RStudio, select 'Build' then 'Install and Restart' to install the
PredictiveValueFPs
package. -
Before running the analysis, fill in the missing parts of the code provided under
extras/CodeToRun_parallel.R
andextras/ScriptToRunParallel.R
. Then run the contents of theextras/CodeToRun_parallel.R
to run the analysis.
The PredictiveValueFPs
package is licensed under Apache License 2.0
PredictiveValueFPs
was developed in ATLAS and R Studio.
Manuscript preparation.