library(DistributedLMM)
# USER INPUTS
#=======================
# Specify where the temporary files (used by the ff package) will be created:
options(andromedaTempFolder = "location with space to save big data")
# The folder where the study intermediate and result files will be written:
outputFolder <- "./DLMM"
# Details for connecting to the server:
dbms <- "you dbms"
user <- 'your username'
pw <- 'your password'
server <- 'your server'
port <- 'your port'
connectionDetails <- DatabaseConnector::createConnectionDetails(dbms = dbms,
server = server,
user = user,
password = pw,
port = port)
# Add the database containing the OMOP CDM data
cdmDatabaseSchema <- 'cdm database schema'
# Add the name of database containing the OMOP CDM data
cdmDatabaseName <- 'cdm database name'
# Add a database with read/write access as this is where the cohorts will be generated
cohortDatabaseSchema <- 'work database schema'
oracleTempSchema <- NULL
# table name where the cohorts will be generated
cohortTable <- 'DLMM'
#============== Pick Study Parts To Run: ===========
createCohorts = TRUE
extractData = TRUE
packageResults = TRUE
minCellCount <- 5
sampleSize <- NULL
execute(connectionDetails = connectionDetails,
cdmDatabaseSchema = cdmDatabaseSchema,
cdmDatabaseName = cdmDatabaseName,
cohortDatabaseSchema = cohortDatabaseSchema,
cohortTable = cohortTable,
endDay = -1,
sampleSize = sampleSize,
outputFolder = outputFolder,
createCohorts = createCohorts,
useFluCohort = F,
extractData = extractData,
packageResults = packageResults,
minCellCount = minCellCount,
verbosity = "INFO",
cdmVersion = 5)
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