From 39a51125de9195efc839e27d696efdb464620d45 Mon Sep 17 00:00:00 2001
From: Chris Knoll
exampleAggregateCovariateSettings <- createAggregateCovariateSettings(
targetIds = exampleTargetIds,
outcomeIds = exampleOutcomeIds,
riskWindowStart = 1, startAnchor = "cohort start",
riskWindowEnd = 365, endAnchor = "cohort start",
- covariateSettings = exampleCovariateSettings
+ covariateSettings = exampleCovariateSettings,
+ minCharacterizationMean = 0.01
)
Next we need to use the
exampleAggregateCovariateSettings
as the settings to
@@ -3207,8 +3209,8 @@
## Connecting using SQLite driver
## Computing dechallenge rechallenge results
## | | | 0% | |============ | 17% | |======================= | 33% | |=================================== | 50% | |=============================================== | 67% | |========================================================== | 83% | |======================================================================| 100%
-## Executing SQL took 0.00758 secs
-## Computing dechallenge rechallenge for 3 target ids and 1outcome ids took 0.165 secs
+## Executing SQL took 0.00901 secs
+## Computing dechallenge rechallenge for 3 target ids and 1outcome ids took 0.138 secs
If you would like to save the results you can use the function
saveDechallengeRechallengeAnalyses
and this can then be
loaded using loadDechallengeRechallengeAnalyses
.
## Connecting using SQLite driver
## Computing dechallenge rechallenge results
## | | | 0% | |============ | 17% | |======================= | 33% | |=================================== | 50% | |=============================================== | 67% | |========================================================== | 83% | |======================================================================| 100%
-## Executing SQL took 0.0748 secs
-## Computing dechallenge failed case series for 3 target IDs and 1 outcome IDs took 0.219 secs
+## Executing SQL took 0.0966 secs
+## Computing dechallenge failed case series for 3 target IDs and 1 outcome IDs took 0.202 secs
The results are Andromeda objects that can we viewed using
dplyr
. There is just one table named
rechallengeFailCaseSeries:
## | | | 0% | |=== | 4% | |====== | 8% | |========= | 12% | |============ | 17% | |=============== | 21% | |================== | 25% | |==================== | 29% | |======================= | 33% | |========================== | 38% | |============================= | 42% | |================================ | 46% | |=================================== | 50% | |====================================== | 54% | |========================================= | 58% | |============================================ | 62% | |=============================================== | 67% | |================================================== | 71% | |==================================================== | 75% | |======================================================= | 79% | |========================================================== | 83% | |============================================================= | 88% | |================================================================ | 92% | |=================================================================== | 96% | |======================================================================| 100%
-## Executing SQL took 0.0462 secs
-## Computing time-to-event for T-O pairs took 0.268 secs
+## Executing SQL took 0.0525 secs
+## Computing time-to-event for T-O pairs took 0.22 secs
If you would like to save the results you can use the function
saveTimeToEventAnalyses
and this can then be loaded using
loadTimeToEventAnalyses
.