From 755625843938d73ab0f9d1fdff79576634caf584 Mon Sep 17 00:00:00 2001 From: Anthony Sena Date: Mon, 22 Apr 2024 11:35:56 -0400 Subject: [PATCH 1/2] minCharacterizationMean inclusive of min value and add upper bound constraint (#250) * minCharacterizationMean inclusive of min value; add upper bound constraint to parameter * Remove filtering for continuous covariates --- R/GetCovariates.R | 2 +- R/GetCovariatesFromOtherCohorts.R | 4 ++-- R/GetDefaultCovariates.R | 7 +++---- R/UnitTestHelperFunctions.R | 2 +- tests/testthat/test-CovariateData.R | 9 +-------- 5 files changed, 8 insertions(+), 16 deletions(-) diff --git a/R/GetCovariates.R b/R/GetCovariates.R index 63e9302f..40662f1d 100644 --- a/R/GetCovariates.R +++ b/R/GetCovariates.R @@ -121,7 +121,7 @@ getDbCovariateData <- function(connectionDetails = NULL, } errorMessages <- checkmate::makeAssertCollection() minCharacterizationMean <- utils::type.convert(minCharacterizationMean, as.is = TRUE) - checkmate::assertNumeric(x = minCharacterizationMean, lower = 0, add = errorMessages) + checkmate::assertNumeric(x = minCharacterizationMean, lower = 0, upper = 1, add = errorMessages) checkmate::reportAssertions(collection = errorMessages) if (!is.null(connectionDetails)) { connection <- DatabaseConnector::connect(connectionDetails) diff --git a/R/GetCovariatesFromOtherCohorts.R b/R/GetCovariatesFromOtherCohorts.R index 0a20e3bd..217ab7eb 100644 --- a/R/GetCovariatesFromOtherCohorts.R +++ b/R/GetCovariatesFromOtherCohorts.R @@ -22,7 +22,7 @@ #' @param covariateSettings An object of type \code{covariateSettings} as created using the #' \code{\link{createCohortBasedCovariateSettings}} or #' \code{\link{createCohortBasedTemporalCovariateSettings}} functions. -#' @param minCharacterizationMean The minimum mean value for characterization output. Values below this will be cut off from output. This +#' @param minCharacterizationMean The minimum mean value for binary characterization output. Values below this will be cut off from output. This #' will help reduce the file size of the characterization output, but will remove information #' on covariates that have very low values. The default is 0. #' @template GetCovarParams @@ -50,7 +50,7 @@ getDbCohortBasedCovariatesData <- function(connection, checkmate::assertClass(covariateSettings, "covariateSettings", add = errorMessages) checkmate::assertLogical(aggregated, len = 1, add = errorMessages) minCharacterizationMean <- utils::type.convert(minCharacterizationMean, as.is = TRUE) - checkmate::assertNumeric(x = minCharacterizationMean, lower = 0, add = errorMessages) + checkmate::assertNumeric(x = minCharacterizationMean, lower = 0, upper = 1, add = errorMessages) checkmate::reportAssertions(collection = errorMessages) if (!missing(cohortId)) { warning("cohortId argument has been deprecated, please use cohortIds") diff --git a/R/GetDefaultCovariates.R b/R/GetDefaultCovariates.R index ae54b86b..7f86daf1 100644 --- a/R/GetDefaultCovariates.R +++ b/R/GetDefaultCovariates.R @@ -31,7 +31,7 @@ #' it is a temp table, do not specify \code{targetDatabaseSchema}. #' @param targetCovariateRefTable (Optional) The name of the table where the covariate reference will be stored. #' @param targetAnalysisRefTable (Optional) The name of the table where the analysis reference will be stored. -#' @param minCharacterizationMean The minimum mean value for characterization output. Values below this will be cut off from output. This +#' @param minCharacterizationMean The minimum mean value for binary characterization output. Values below this will be cut off from output. This #' will help reduce the file size of the characterization output, but will remove information #' on covariates that have very low values. The default is 0. #' @@ -85,7 +85,7 @@ getDbDefaultCovariateData <- function(connection, } errorMessages <- checkmate::makeAssertCollection() minCharacterizationMean <- utils::type.convert(minCharacterizationMean, as.is = TRUE) - checkmate::assertNumeric(x = minCharacterizationMean, lower = 0, add = errorMessages) + checkmate::assertNumeric(x = minCharacterizationMean, lower = 0, upper = 1, add = errorMessages) checkmate::reportAssertions(collection = errorMessages) settings <- .toJson(covariateSettings) @@ -152,7 +152,6 @@ getDbDefaultCovariateData <- function(connection, andromedaTableName = "covariatesContinuous", snakeCaseToCamelCase = TRUE ) - filterCovariateDataCovariates(covariateData, "covariatesContinuous", minCharacterizationMean) } # Covariate reference @@ -295,6 +294,6 @@ getDbDefaultCovariateData <- function(connection, filterCovariateDataCovariates <- function(covariateData, covariatesName, minCharacterizationMean = 0) { if ("averageValue" %in% colnames(covariateData[[covariatesName]]) && minCharacterizationMean != 0) { covariateData[[covariatesName]] <- covariateData[[covariatesName]] %>% - dplyr::filter(.data$averageValue > minCharacterizationMean) + dplyr::filter(.data$averageValue >= minCharacterizationMean) } } \ No newline at end of file diff --git a/R/UnitTestHelperFunctions.R b/R/UnitTestHelperFunctions.R index 62e1e59c..5a0b1dfe 100644 --- a/R/UnitTestHelperFunctions.R +++ b/R/UnitTestHelperFunctions.R @@ -59,7 +59,7 @@ #' of the createCovariate functions, or a list of such objects. #' @param aggregated Should aggregate statistics be computed instead of covariates per #' cohort entry? -#' @param minCharacterizationMean The minimum mean value for characterization output. Values below this will be cut off from output. This +#' @param minCharacterizationMean The minimum mean value for binary characterization output. Values below this will be cut off from output. This #' will help reduce the file size of the characterization output, but will remove information #' on covariates that have very low values. The default is 0. #' @return diff --git a/tests/testthat/test-CovariateData.R b/tests/testthat/test-CovariateData.R index 3cd2be55..85efdee3 100644 --- a/tests/testthat/test-CovariateData.R +++ b/tests/testthat/test-CovariateData.R @@ -97,10 +97,7 @@ test_that("test filtering of covariates based on minCharacterizationMean", { nCovariates <- covariateData$covariates %>% collect() %>% nrow() - nCovariatesCont <- covariateData$covariatesContinuous %>% - collect() %>% - nrow() - + covariateData <- getDbCovariateData(connectionDetails = eunomiaConnectionDetails, cdmDatabaseSchema = eunomiaCdmDatabaseSchema, cohortDatabaseSchema = eunomiaOhdsiDatabaseSchema, @@ -111,11 +108,7 @@ test_that("test filtering of covariates based on minCharacterizationMean", { nCovariatesFiltered <- covariateData$covariates %>% collect() %>% nrow() - nCovariatesContFiltered <- covariateData$covariatesContinuous %>% - collect() %>% - nrow() expect_true(nCovariatesFiltered < nCovariates) - expect_true(nCovariatesContFiltered < nCovariatesCont) }) test_that("test loadCovariateData", { From d2aa8002551bee19525fca72d9052cec5ed13979 Mon Sep 17 00:00:00 2001 From: Anthony Sena Date: Mon, 22 Apr 2024 14:59:32 -0400 Subject: [PATCH 2/2] Release v3.5.1 prep (#251) * Bump version and format code * Regenerate docs * Regenerate site docs --- DESCRIPTION | 4 +- NEWS.md | 7 + R/CovariateData.R | 36 ++- R/GetCovariates.R | 48 +-- R/GetCovariatesFromCohortAttributes.R | 10 +- R/GetCovariatesFromOtherCohorts.R | 4 +- R/GetDefaultCovariates.R | 18 +- R/HelperFunctions.R | 6 +- R/UnitTestHelperFunctions.R | 31 +- docs/404.html | 2 +- ...CreatingCovariatesBasedOnOtherCohorts.html | 4 +- ...eatingCovariatesUsingCohortAttributes.html | 32 +- .../CreatingCustomCovariateBuilders.html | 61 ++-- ...CreatingCustomCovariateBuildersKorean.html | 61 ++-- docs/articles/UsingFeatureExtraction.html | 84 +++--- .../UsingFeatureExtractionKorean.html | 84 +++--- docs/articles/index.html | 2 +- docs/authors.html | 6 +- docs/index.html | 2 +- docs/news/index.html | 7 +- docs/pkgdown.yml | 2 +- docs/pull_request_template.html | 2 +- docs/reference/CovariateData-class.html | 2 +- docs/reference/FeatureExtraction-package.html | 2 +- docs/reference/aggregateCovariates.html | 2 +- .../computeStandardizedDifference.html | 2 +- ...vertPrespecSettingsToDetailedSettings.html | 2 +- docs/reference/createAnalysisDetails.html | 2 +- .../createCohortAttrCovariateSettings.html | 2 +- .../createCohortBasedCovariateSettings.html | 2 +- ...eCohortBasedTemporalCovariateSettings.html | 2 +- docs/reference/createCovariateSettings.html | 2 +- .../createDefaultCovariateSettings.html | 2 +- ...reateDefaultTemporalCovariateSettings.html | 2 +- .../createDetailedCovariateSettings.html | 2 +- ...eateDetailedTemporalCovariateSettings.html | 2 +- docs/reference/createEmptyCovariateData.html | 2 +- docs/reference/createTable1.html | 2 +- .../createTable1CovariateSettings.html | 2 +- .../createTemporalCovariateSettings.html | 2 +- ...eateTemporalSequenceCovariateSettings.html | 2 +- .../dot-createLooCovariateSettings.html | 2 +- docs/reference/dot-getDbLooCovariateData.html | 2 +- .../reference/filterByCohortDefinitionId.html | 2 +- docs/reference/filterByRowId.html | 2 +- .../filterCovariateDataCovariates.html | 2 +- .../getDbCohortAttrCovariatesData.html | 2 +- .../getDbCohortBasedCovariatesData.html | 2 +- docs/reference/getDbCovariateData.html | 2 +- docs/reference/getDbDefaultCovariateData.html | 2 +- .../getDefaultTable1Specifications.html | 2 +- docs/reference/index.html | 10 +- docs/reference/isAggregatedCovariateData.html | 2 +- docs/reference/isCovariateData.html | 2 +- docs/reference/isTemporalCovariateData.html | 2 +- docs/reference/loadCovariateData.html | 2 +- docs/reference/saveCovariateData.html | 2 +- docs/reference/tidyCovariateData.html | 2 +- docs/sitemap.xml | 24 +- extras/FeatureExtraction.pdf | Bin 172500 -> 254270 bytes .../CreatingCovariatesBasedOnOtherCohorts.pdf | Bin 230423 -> 243476 bytes ...reatingCovariatesUsingCohortAttributes.pdf | Bin 219037 -> 231698 bytes inst/doc/CreatingCustomCovariateBuilders.pdf | Bin 226482 -> 241155 bytes .../CreatingCustomCovariateBuildersKorean.pdf | Bin 318067 -> 2593975 bytes inst/doc/UsingFeatureExtraction.pdf | Bin 264820 -> 287511 bytes inst/doc/UsingFeatureExtractionKorean.pdf | Bin 415679 -> 3435022 bytes pom.xml | 2 +- tests/testOracle.R | 2 +- tests/testPostgres.R | 2 +- tests/testRedshift.R | 6 +- tests/testSqlServer.R | 2 +- tests/testSqlite.R | 2 +- tests/testthat/test-Aggregation.R | 28 +- tests/testthat/test-CompareCohorts.R | 2 +- tests/testthat/test-CovariateData.R | 122 ++++---- tests/testthat/test-GetCovariates.R | 76 +++-- .../test-GetCovariatesTemporalSequence.R | 56 ++-- tests/testthat/test-HelperFunctions.R | 36 ++- tests/testthat/test-Table1.R | 146 +++++---- tests/testthat/test-query-no-fail.R | 280 +++++++++--------- tests/testthat/test-spot-checks.R | 72 ++--- tests/testthat/test-tidyCovariates.R | 42 ++- ...reatingCovariatesUsingCohortAttributes.Rmd | 28 +- vignettes/CreatingCustomCovariateBuilders.Rmd | 57 ++-- .../CreatingCustomCovariateBuildersKorean.Rmd | 57 ++-- vignettes/UsingFeatureExtraction.Rmd | 82 ++--- vignettes/UsingFeatureExtractionKorean.Rmd | 82 ++--- 87 files changed, 1001 insertions(+), 798 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index edf024c0..8d5b2cf5 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,8 +1,8 @@ Package: FeatureExtraction Type: Package Title: Generating Features for a Cohort -Version: 3.5.0 -Date: 2024-04-18 +Version: 3.5.1 +Date: 2024-04-22 Authors@R: c( person("Martijn", "Schuemie", , "schuemie@ohdsi.org", role = c("aut")), person("Marc", "Suchard", role = c("aut")), diff --git a/NEWS.md b/NEWS.md index f3cccd74..89371c92 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,10 @@ +FeatureExtraction 3.5.1 +======================= + +Bug Fixes: + +- Minimum threshold for covariate mean should be inclusive of the value parameter (#249) + FeatureExtraction 3.5.0 ======================= diff --git a/R/CovariateData.R b/R/CovariateData.R index ceaa5b1e..455a7bfc 100644 --- a/R/CovariateData.R +++ b/R/CovariateData.R @@ -279,20 +279,28 @@ createEmptyCovariateData <- function(cohortIds, aggregated, temporal) { if (!is.null(temporal) && temporal) { dummy$timeId <- 1 } - covariateData <- Andromeda::andromeda(covariates = dummy[!1, ], - covariateRef = tibble(covariateId = 1, - covariateName = "", - analysisId = 1, - conceptId = 1)[!1, ], - analysisRef = tibble(analysisId = 1, - analysisName = "", - domainId = "", - startDay = 1, - endDay = 1, - isBinary = "", - missingMeansZero = "")[!1, ]) - attr(covariateData, "metaData") <- list(populationSize = 0, - cohortIds = cohortIds) + covariateData <- Andromeda::andromeda( + covariates = dummy[!1, ], + covariateRef = tibble( + covariateId = 1, + covariateName = "", + analysisId = 1, + conceptId = 1 + )[!1, ], + analysisRef = tibble( + analysisId = 1, + analysisName = "", + domainId = "", + startDay = 1, + endDay = 1, + isBinary = "", + missingMeansZero = "" + )[!1, ] + ) + attr(covariateData, "metaData") <- list( + populationSize = 0, + cohortIds = cohortIds + ) class(covariateData) <- "CovariateData" return(covariateData) } diff --git a/R/GetCovariates.R b/R/GetCovariates.R index 40662f1d..cd959fab 100644 --- a/R/GetCovariates.R +++ b/R/GetCovariates.R @@ -59,7 +59,7 @@ #' of the createCovariate functions, or a list of such objects. #' @param aggregated Should aggregate statistics be computed instead of covariates per #' cohort entry? -#' @param minCharacterizationMean The minimum mean value for characterization output. Values below this will be cut off from output. This +#' @param minCharacterizationMean The minimum mean value for characterization output. Values below this will be cut off from output. This #' will help reduce the file size of the characterization output, but will remove information #' on covariates that have very low values. The default is 0. #' @@ -115,7 +115,7 @@ getDbCovariateData <- function(connectionDetails = NULL, if (cdmVersion == "4") { stop("CDM version 4 is not supported any more") } - if (!missing(cohortId)) { + if (!missing(cohortId)) { warning("cohortId argument has been deprecated, please use cohortIds") cohortIds <- cohortId } @@ -137,12 +137,16 @@ getDbCovariateData <- function(connectionDetails = NULL, cohortDatabaseSchemaTable <- paste(cohortDatabaseSchema, cohortTable, sep = ".") } sql <- "SELECT cohort_definition_id, COUNT_BIG(*) AS population_size FROM @cohort_database_schema_table {@cohort_ids != -1} ? {WHERE cohort_definition_id IN (@cohort_ids)} GROUP BY cohort_definition_id;" - sql <- SqlRender::render(sql = sql, - cohort_database_schema_table = cohortDatabaseSchemaTable, - cohort_ids = cohortIds) - sql <- SqlRender::translate(sql = sql, - targetDialect = attr(connection, "dbms"), - oracleTempSchema = oracleTempSchema) + sql <- SqlRender::render( + sql = sql, + cohort_database_schema_table = cohortDatabaseSchemaTable, + cohort_ids = cohortIds + ) + sql <- SqlRender::translate( + sql = sql, + targetDialect = attr(connection, "dbms"), + oracleTempSchema = oracleTempSchema + ) temp <- DatabaseConnector::querySql(connection, sql, snakeCaseToCamelCase = TRUE) if (aggregated) { populationSize <- temp$populationSize @@ -164,16 +168,18 @@ getDbCovariateData <- function(connectionDetails = NULL, } for (i in 1:length(covariateSettings)) { fun <- attr(covariateSettings[[i]], "fun") - args <- list(connection = connection, - oracleTempSchema = oracleTempSchema, - cdmDatabaseSchema = cdmDatabaseSchema, - cohortTable = cohortDatabaseSchemaTable, - cohortIds = cohortIds, - cdmVersion = cdmVersion, - rowIdField = rowIdField, - covariateSettings = covariateSettings[[i]], - aggregated = aggregated, - minCharacterizationMean = minCharacterizationMean) + args <- list( + connection = connection, + oracleTempSchema = oracleTempSchema, + cdmDatabaseSchema = cdmDatabaseSchema, + cohortTable = cohortDatabaseSchemaTable, + cohortIds = cohortIds, + cdmVersion = cdmVersion, + rowIdField = rowIdField, + covariateSettings = covariateSettings[[i]], + aggregated = aggregated, + minCharacterizationMean = minCharacterizationMean + ) tempCovariateData <- do.call(eval(parse(text = fun)), args) if (is.null(covariateData)) { covariateData <- tempCovariateData @@ -199,8 +205,10 @@ getDbCovariateData <- function(connectionDetails = NULL, attr(covariateData, "metaData")[[name]] <- attr(tempCovariateData, "metaData")[[name]] } else { attr(covariateData, "metaData")[[name]] <- list( - c(unlist(attr(covariateData, "metaData")[[name]]), - attr(tempCovariateData, "metaData")[[name]]) + c( + unlist(attr(covariateData, "metaData")[[name]]), + attr(tempCovariateData, "metaData")[[name]] + ) ) } } diff --git a/R/GetCovariatesFromCohortAttributes.R b/R/GetCovariatesFromCohortAttributes.R index 5016a7ed..3d27d570 100644 --- a/R/GetCovariatesFromCohortAttributes.R +++ b/R/GetCovariatesFromCohortAttributes.R @@ -85,7 +85,7 @@ getDbCohortAttrCovariatesData <- function(connection, if (cdmVersion == "4") { stop("Common Data Model version 4 is not supported") } - if (!missing(cohortId)) { + if (!missing(cohortId)) { warning("cohortId argument has been deprecated, please use cohortIds") cohortIds <- cohortId } @@ -160,10 +160,10 @@ getDbCohortAttrCovariatesData <- function(connection, writeLines(paste("Loading took", signif(delta, 3), attr(delta, "units"))) result <- createEmptyCovariateData(cohortIds, aggregated, covariateSettings$temporal) - result$covariates = covariates - result$covariateRef = covariateRef - result$analysisRef = analysisRef - + result$covariates <- covariates + result$covariateRef <- covariateRef + result$analysisRef <- analysisRef + return(result) } diff --git a/R/GetCovariatesFromOtherCohorts.R b/R/GetCovariatesFromOtherCohorts.R index 217ab7eb..16f07fdf 100644 --- a/R/GetCovariatesFromOtherCohorts.R +++ b/R/GetCovariatesFromOtherCohorts.R @@ -22,7 +22,7 @@ #' @param covariateSettings An object of type \code{covariateSettings} as created using the #' \code{\link{createCohortBasedCovariateSettings}} or #' \code{\link{createCohortBasedTemporalCovariateSettings}} functions. -#' @param minCharacterizationMean The minimum mean value for binary characterization output. Values below this will be cut off from output. This +#' @param minCharacterizationMean The minimum mean value for binary characterization output. Values below this will be cut off from output. This #' will help reduce the file size of the characterization output, but will remove information #' on covariates that have very low values. The default is 0. #' @template GetCovarParams @@ -52,7 +52,7 @@ getDbCohortBasedCovariatesData <- function(connection, minCharacterizationMean <- utils::type.convert(minCharacterizationMean, as.is = TRUE) checkmate::assertNumeric(x = minCharacterizationMean, lower = 0, upper = 1, add = errorMessages) checkmate::reportAssertions(collection = errorMessages) - if (!missing(cohortId)) { + if (!missing(cohortId)) { warning("cohortId argument has been deprecated, please use cohortIds") cohortIds <- cohortId } diff --git a/R/GetDefaultCovariates.R b/R/GetDefaultCovariates.R index 7f86daf1..ad8820b0 100644 --- a/R/GetDefaultCovariates.R +++ b/R/GetDefaultCovariates.R @@ -31,7 +31,7 @@ #' it is a temp table, do not specify \code{targetDatabaseSchema}. #' @param targetCovariateRefTable (Optional) The name of the table where the covariate reference will be stored. #' @param targetAnalysisRefTable (Optional) The name of the table where the analysis reference will be stored. -#' @param minCharacterizationMean The minimum mean value for binary characterization output. Values below this will be cut off from output. This +#' @param minCharacterizationMean The minimum mean value for binary characterization output. Values below this will be cut off from output. This #' will help reduce the file size of the characterization output, but will remove information #' on covariates that have very low values. The default is 0. #' @@ -79,7 +79,7 @@ getDbDefaultCovariateData <- function(connection, if (!missing(targetCovariateTable) && !is.null(targetCovariateTable) && aggregated) { stop("Writing aggregated results to database is currently not supported") } - if (!missing(cohortId)) { + if (!missing(cohortId)) { warning("cohortId argument has been deprecated, please use cohortIds") cohortIds <- cohortId } @@ -87,7 +87,7 @@ getDbDefaultCovariateData <- function(connection, minCharacterizationMean <- utils::type.convert(minCharacterizationMean, as.is = TRUE) checkmate::assertNumeric(x = minCharacterizationMean, lower = 0, upper = 1, add = errorMessages) checkmate::reportAssertions(collection = errorMessages) - + settings <- .toJson(covariateSettings) rJava::J("org.ohdsi.featureExtraction.FeatureExtraction")$init(system.file("", package = "FeatureExtraction")) json <- rJava::J("org.ohdsi.featureExtraction.FeatureExtraction")$createSql(settings, aggregated, cohortTable, rowIdField, rJava::.jarray(as.character(cohortIds)), cdmDatabaseSchema) @@ -274,9 +274,11 @@ getDbDefaultCovariateData <- function(connection, attr(covariateData, "metaData") <- list() if (is.null(covariateData$covariates) && is.null(covariateData$covariatesContinuous)) { warning("No data found, probably because no covariates were specified.") - covariateData <- createEmptyCovariateData(cohortIds = cohortIds, - aggregated = aggregated, - temporal = covariateSettings$temporal) + covariateData <- createEmptyCovariateData( + cohortIds = cohortIds, + aggregated = aggregated, + temporal = covariateSettings$temporal + ) } class(covariateData) <- "CovariateData" attr(class(covariateData), "package") <- "FeatureExtraction" @@ -288,7 +290,7 @@ getDbDefaultCovariateData <- function(connection, #' #' @param covariateData The covariate data #' @param covariatesName The name of the covariates object inside the covariateData -#' @param minCharacterizationMean The minimum mean value for characterization output. Values below this will be cut off from output. This +#' @param minCharacterizationMean The minimum mean value for characterization output. Values below this will be cut off from output. This #' will help reduce the file size of the characterization output, but will remove information #' on covariates that have very low values. The default is 0. filterCovariateDataCovariates <- function(covariateData, covariatesName, minCharacterizationMean = 0) { @@ -296,4 +298,4 @@ filterCovariateDataCovariates <- function(covariateData, covariatesName, minChar covariateData[[covariatesName]] <- covariateData[[covariatesName]] %>% dplyr::filter(.data$averageValue >= minCharacterizationMean) } -} \ No newline at end of file +} diff --git a/R/HelperFunctions.R b/R/HelperFunctions.R index 2d30147b..ebb3589c 100644 --- a/R/HelperFunctions.R +++ b/R/HelperFunctions.R @@ -86,7 +86,7 @@ filterByRowId <- function(covariateData, rowIds) { #' } #' #' @export -filterByCohortDefinitionId <- function(covariateData, +filterByCohortDefinitionId <- function(covariateData, cohortId = 1, cohortIds = c(1)) { if (!isCovariateData(covariateData)) { @@ -98,11 +98,11 @@ filterByCohortDefinitionId <- function(covariateData, if (!isAggregatedCovariateData(covariateData)) { stop("Can only filter aggregated data by cohortIds") } - if (!missing(cohortId)) { + if (!missing(cohortId)) { warning("cohortId argument has been deprecated, please use cohortIds") cohortIds <- cohortId } - + if (is.null(covariateData$covariates)) { covariates <- NULL } else { diff --git a/R/UnitTestHelperFunctions.R b/R/UnitTestHelperFunctions.R index 5a0b1dfe..3d470cc8 100644 --- a/R/UnitTestHelperFunctions.R +++ b/R/UnitTestHelperFunctions.R @@ -59,7 +59,7 @@ #' of the createCovariate functions, or a list of such objects. #' @param aggregated Should aggregate statistics be computed instead of covariates per #' cohort entry? -#' @param minCharacterizationMean The minimum mean value for binary characterization output. Values below this will be cut off from output. This +#' @param minCharacterizationMean The minimum mean value for binary characterization output. Values below this will be cut off from output. This #' will help reduce the file size of the characterization output, but will remove information #' on covariates that have very low values. The default is 0. #' @return @@ -107,20 +107,23 @@ } # Some SQL to construct the covariate: - sql <- paste("SELECT @row_id_field AS row_id, 1 AS covariate_id,", - "DATEDIFF(DAY, observation_period_start_date, cohort_start_date)", - "AS covariate_value", - "FROM @cohort_table c", - "INNER JOIN @cdm_database_schema.observation_period op", - "ON op.person_id = c.subject_id", - "WHERE cohort_start_date >= observation_period_start_date", - "AND cohort_start_date <= observation_period_end_date", - "{@cohort_ids != -1} ? {AND cohort_definition_id IN @cohort_ids}") + sql <- paste( + "SELECT @row_id_field AS row_id, 1 AS covariate_id,", + "DATEDIFF(DAY, observation_period_start_date, cohort_start_date)", + "AS covariate_value", + "FROM @cohort_table c", + "INNER JOIN @cdm_database_schema.observation_period op", + "ON op.person_id = c.subject_id", + "WHERE cohort_start_date >= observation_period_start_date", + "AND cohort_start_date <= observation_period_end_date", + "{@cohort_ids != -1} ? {AND cohort_definition_id IN @cohort_ids}" + ) sql <- SqlRender::render(sql, - cohort_table = cohortTable, - cohort_ids = cohortIds, - row_id_field = rowIdField, - cdm_database_schema = cdmDatabaseSchema) + cohort_table = cohortTable, + cohort_ids = cohortIds, + row_id_field = rowIdField, + cdm_database_schema = cdmDatabaseSchema + ) sql <- SqlRender::translate(sql, targetDialect = attr(connection, "dbms")) # Retrieve the covariate: covariates <- DatabaseConnector::querySql(connection, sql, snakeCaseToCamelCase = TRUE) diff --git a/docs/404.html b/docs/404.html index f64935f7..c88a5186 100644 --- a/docs/404.html +++ b/docs/404.html @@ -32,7 +32,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/articles/CreatingCovariatesBasedOnOtherCohorts.html b/docs/articles/CreatingCovariatesBasedOnOtherCohorts.html index d5c2e072..9f17bf7e 100644 --- a/docs/articles/CreatingCovariatesBasedOnOtherCohorts.html +++ b/docs/articles/CreatingCovariatesBasedOnOtherCohorts.html @@ -33,7 +33,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 @@ -100,7 +100,7 @@

Creating covariates based on other cohorts

Martijn J. Schuemie

-

2024-04-18

+

2024-04-22

Source: vignettes/CreatingCovariatesBasedOnOtherCohorts.Rmd diff --git a/docs/articles/CreatingCovariatesUsingCohortAttributes.html b/docs/articles/CreatingCovariatesUsingCohortAttributes.html index 91f58e34..ae74ab33 100644 --- a/docs/articles/CreatingCovariatesUsingCohortAttributes.html +++ b/docs/articles/CreatingCovariatesUsingCohortAttributes.html @@ -33,7 +33,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 @@ -100,7 +100,7 @@

Creating covariates using cohort attributes

Martijn J. Schuemie

-

2024-04-18

+

2024-04-22

Source: vignettes/CreatingCovariatesUsingCohortAttributes.Rmd @@ -248,12 +248,14 @@

Using the attributes as covariatescovariates object:

-covariates <- getDbCovariateData(connectionDetails = connectionDetails,
-                                 cdmDatabaseSchema = cdmDatabaseSchema,
-                                 cohortDatabaseSchema = cohortDatabaseSchema,
-                                 cohortTable = "rehospitalization",
-                                 cohortIds = c(1),
-                                 covariateSettings = looCovSet)
+covariates <- getDbCovariateData( + connectionDetails = connectionDetails, + cdmDatabaseSchema = cdmDatabaseSchema, + cohortDatabaseSchema = cohortDatabaseSchema, + cohortTable = "rehospitalization", + cohortIds = c(1), + covariateSettings = looCovSet +)

In this case we will have only one covariate for our predictive model, the length of observation. In most cases, we will want our custom covariates in addition to the default covariates. We can do this by @@ -277,12 +279,14 @@

Using the attributes as covariates covariateSettingsList <- list(covariateSettings, looCovSet) -covariates <- getDbCovariateData(connectionDetails = connectionDetails, - cdmDatabaseSchema = cdmDatabaseSchema, - cohortDatabaseSchema = resultsDatabaseSchema, - cohortTable = "rehospitalization", - cohortIds = c(1), - covariateSettings = covariateSettingsList) +covariates <- getDbCovariateData( + connectionDetails = connectionDetails, + cdmDatabaseSchema = cdmDatabaseSchema, + cohortDatabaseSchema = resultsDatabaseSchema, + cohortTable = "rehospitalization", + cohortIds = c(1), + covariateSettings = covariateSettingsList +)

In this example both demographic covariates and our length of observation covariate will be generated and can be used in our predictive model.

diff --git a/docs/articles/CreatingCustomCovariateBuilders.html b/docs/articles/CreatingCustomCovariateBuilders.html index 60fcd463..6dac1055 100644 --- a/docs/articles/CreatingCustomCovariateBuilders.html +++ b/docs/articles/CreatingCustomCovariateBuilders.html @@ -33,7 +33,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 @@ -100,7 +100,7 @@

Creating custom covariate builders

Martijn J. Schuemie

-

2024-04-18

+

2024-04-22

Source: vignettes/CreatingCustomCovariateBuilders.Rmd @@ -283,20 +283,23 @@

Example function} # Some SQL to construct the covariate: - sql <- paste("SELECT @row_id_field AS row_id, 1 AS covariate_id,", - "DATEDIFF(DAY, observation_period_start_date, cohort_start_date)", - "AS covariate_value", - "FROM @cohort_table c", - "INNER JOIN @cdm_database_schema.observation_period op", - "ON op.person_id = c.subject_id", - "WHERE cohort_start_date >= observation_period_start_date", - "AND cohort_start_date <= observation_period_end_date", - "{@cohort_ids != -1} ? {AND cohort_definition_id IN @cohort_ids}") + sql <- paste( + "SELECT @row_id_field AS row_id, 1 AS covariate_id,", + "DATEDIFF(DAY, observation_period_start_date, cohort_start_date)", + "AS covariate_value", + "FROM @cohort_table c", + "INNER JOIN @cdm_database_schema.observation_period op", + "ON op.person_id = c.subject_id", + "WHERE cohort_start_date >= observation_period_start_date", + "AND cohort_start_date <= observation_period_end_date", + "{@cohort_ids != -1} ? {AND cohort_definition_id IN @cohort_ids}" + ) sql <- SqlRender::render(sql, - cohort_table = cohortTable, - cohort_ids = cohortIds, - row_id_field = rowIdField, - cdm_database_schema = cdmDatabaseSchema) + cohort_table = cohortTable, + cohort_ids = cohortIds, + row_id_field = rowIdField, + cdm_database_schema = cdmDatabaseSchema + ) sql <- SqlRender::translate(sql, targetDialect = attr(connection, "dbms")) # Retrieve the covariate: @@ -356,12 +359,14 @@

Using the custom covariate builder
 looCovSet <- createLooCovariateSettings(useLengthOfObs = TRUE)
 
-covariates <- getDbCovariateData(connectionDetails = connectionDetails,
-                                 cdmDatabaseSchema = cdmDatabaseSchema,
-                                 cohortDatabaseSchema = resultsDatabaseSchema,
-                                 cohortTable = "rehospitalization",
-                                 cohortIds = c(1),
-                                 covariateSettings = looCovSet)
+covariates <- getDbCovariateData( + connectionDetails = connectionDetails, + cdmDatabaseSchema = cdmDatabaseSchema, + cohortDatabaseSchema = resultsDatabaseSchema, + cohortTable = "rehospitalization", + cohortIds = c(1), + covariateSettings = looCovSet +)

In this case we will have only one covariate for our predictive model, the length of observation. In most cases, we will want our custom covariates in addition to the default covariates. We can do this by @@ -380,12 +385,14 @@

Using the custom covariate builder covariateSettingsList <- list(covariateSettings, looCovSet) -covariates <- getDbCovariateData(connectionDetails = connectionDetails, - cdmDatabaseSchema = cdmDatabaseSchema, - cohortDatabaseSchema = resultsDatabaseSchema, - cohortTable = "rehospitalization", - cohortIds = c(1), - covariateSettings = covariateSettingsList) +covariates <- getDbCovariateData( + connectionDetails = connectionDetails, + cdmDatabaseSchema = cdmDatabaseSchema, + cohortDatabaseSchema = resultsDatabaseSchema, + cohortTable = "rehospitalization", + cohortIds = c(1), + covariateSettings = covariateSettingsList +)

In this example both demographic covariates and our length of observation covariate will be generated and can be used in our predictive model.

diff --git a/docs/articles/CreatingCustomCovariateBuildersKorean.html b/docs/articles/CreatingCustomCovariateBuildersKorean.html index ade16feb..ee1cb196 100644 --- a/docs/articles/CreatingCustomCovariateBuildersKorean.html +++ b/docs/articles/CreatingCustomCovariateBuildersKorean.html @@ -33,7 +33,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 @@ -100,7 +100,7 @@

Creating custom covariate builders (Korean)

Jeon Ga Bin & Martijn J. Schuemie

-

2024-04-18

+

2024-04-22

Source: vignettes/CreatingCustomCovariateBuildersKorean.Rmd @@ -244,20 +244,23 @@

함수 예제 } # Some SQL to construct the covariate: - sql <- paste("SELECT @row_id_field AS row_id, 1 AS covariate_id,", - "DATEDIFF(DAY, observation_period_start_date, cohort_start_date)", - "AS covariate_value", - "FROM @cohort_table c", - "INNER JOIN @cdm_database_schema.observation_period op", - "ON op.person_id = c.subject_id", - "WHERE cohort_start_date >= observation_period_start_date", - "AND cohort_start_date <= observation_period_end_date", - "{@cohort_ids != -1} ? {AND cohort_definition_id IN @cohort_ids}") + sql <- paste( + "SELECT @row_id_field AS row_id, 1 AS covariate_id,", + "DATEDIFF(DAY, observation_period_start_date, cohort_start_date)", + "AS covariate_value", + "FROM @cohort_table c", + "INNER JOIN @cdm_database_schema.observation_period op", + "ON op.person_id = c.subject_id", + "WHERE cohort_start_date >= observation_period_start_date", + "AND cohort_start_date <= observation_period_end_date", + "{@cohort_ids != -1} ? {AND cohort_definition_id IN @cohort_ids}" + ) sql <- SqlRender::render(sql, - cohort_table = cohortTable, - cohort_ids = cohortIds, - row_id_field = rowIdField, - cdm_database_schema = cdmDatabaseSchema) + cohort_table = cohortTable, + cohort_ids = cohortIds, + row_id_field = rowIdField, + cdm_database_schema = cdmDatabaseSchema + ) sql <- SqlRender::translate(sql, targetDialect = attr(connection, "dbms")) # Retrieve the covariate: @@ -319,12 +322,14 @@

사용자 지정 공변량 빌
 looCovSet <- createLooCovariateSettings(useLengthOfObs = TRUE)
 
-covariates <- getDbCovariateData(connectionDetails = connectionDetails,
-                                 cdmDatabaseSchema = cdmDatabaseSchema,
-                                 cohortDatabaseSchema = resultsDatabaseSchema,
-                                 cohortTable = "rehospitalization",
-                                 cohortIds = c(1),
-                                 covariateSettings = looCovSet)
+covariates <- getDbCovariateData( + connectionDetails = connectionDetails, + cdmDatabaseSchema = cdmDatabaseSchema, + cohortDatabaseSchema = resultsDatabaseSchema, + cohortTable = "rehospitalization", + cohortIds = c(1), + covariateSettings = looCovSet +)

이 경우 우리는 예측 모델인 관측 길이에 대한 공변량만 가질 것이다. 대부분의 경우, 우리는 기본 공변량 외에 우리의 맞춤 공변량을 원할 것이다. 공변량 설정 목록을 생성하여 이 작업을 수행할 수 있다.

@@ -342,12 +347,14 @@

사용자 지정 공변량 빌 covariateSettingsList <- list(covariateSettings, looCovSet) -covariates <- getDbCovariateData(connectionDetails = connectionDetails, - cdmDatabaseSchema = cdmDatabaseSchema, - cohortDatabaseSchema = resultsDatabaseSchema, - cohortTable = "rehospitalization", - cohortIds = c(1), - covariateSettings = covariateSettingsList) +covariates <- getDbCovariateData( + connectionDetails = connectionDetails, + cdmDatabaseSchema = cdmDatabaseSchema, + cohortDatabaseSchema = resultsDatabaseSchema, + cohortTable = "rehospitalization", + cohortIds = c(1), + covariateSettings = covariateSettingsList +)

이 예에서 인구 통계학적 공변량과 관찰 공변량의 길이가 모두 생성되어 예측 모델에 사용될 수 있다.

diff --git a/docs/articles/UsingFeatureExtraction.html b/docs/articles/UsingFeatureExtraction.html index 1ca008df..9bea3ad5 100644 --- a/docs/articles/UsingFeatureExtraction.html +++ b/docs/articles/UsingFeatureExtraction.html @@ -33,7 +33,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 @@ -100,7 +100,7 @@

Using FeatureExtraction

Martijn J. Schuemie

-

2024-04-18

+

2024-04-22

Source: vignettes/UsingFeatureExtraction.Rmd @@ -508,13 +508,15 @@

Creating per-pe
 covariateSettings <- createDefaultCovariateSettings()
 
-covariateData <- getDbCovariateData(connectionDetails = connectionDetails,
-                                    cdmDatabaseSchema = cdmDatabaseSchema,
-                                    cohortDatabaseSchema = resultsDatabaseSchema,
-                                    cohortTable = "cohorts_of_interest",
-                                    cohortIds = c(1118084),
-                                    rowIdField = "subject_id",
-                                    covariateSettings = covariateSettings)
+covariateData <- getDbCovariateData(
+  connectionDetails = connectionDetails,
+  cdmDatabaseSchema = cdmDatabaseSchema,
+  cohortDatabaseSchema = resultsDatabaseSchema,
+  cohortTable = "cohorts_of_interest",
+  cohortIds = c(1118084),
+  rowIdField = "subject_id",
+  covariateSettings = covariateSettings
+)
 summary(covariateData)

Per-person covariate output format @@ -630,13 +632,15 @@

Creating aggreg
 covariateSettings <- createDefaultCovariateSettings()
 
-covariateData2 <- getDbCovariateData(connectionDetails = connectionDetails,
-                                     cdmDatabaseSchema = cdmDatabaseSchema,
-                                     cohortDatabaseSchema = resultsDatabaseSchema,
-                                     cohortTable = "cohorts_of_interest",
-                                     cohortIds = c(1118084),
-                                     covariateSettings = covariateSettings,
-                                     aggregated = TRUE)
+covariateData2 <- getDbCovariateData(
+  connectionDetails = connectionDetails,
+  cdmDatabaseSchema = cdmDatabaseSchema,
+  cohortDatabaseSchema = resultsDatabaseSchema,
+  cohortTable = "cohorts_of_interest",
+  cohortIds = c(1118084),
+  covariateSettings = covariateSettings,
+  aggregated = TRUE
+)
 summary(covariateData2)

Note that we specified aggregated = TRUE. Also, we are no longer required to define a rowIdField because we will @@ -724,13 +728,15 @@

Creating a table 1
 covariateSettings <- createTable1CovariateSettings()
 
-covariateData2b <- getDbCovariateData(connectionDetails = connectionDetails,
-                                      cdmDatabaseSchema = cdmDatabaseSchema,
-                                      cohortDatabaseSchema = resultsDatabaseSchema,
-                                      cohortTable = "cohorts_of_interest",
-                                      cohortIds = c(1118084),
-                                      covariateSettings = covariateSettings,
-                                      aggregated = TRUE)
+covariateData2b <- getDbCovariateData(
+  connectionDetails = connectionDetails,
+  cdmDatabaseSchema = cdmDatabaseSchema,
+  cohortDatabaseSchema = resultsDatabaseSchema,
+  cohortTable = "cohorts_of_interest",
+  cohortIds = c(1118084),
+  covariateSettings = covariateSettings,
+  aggregated = TRUE
+)
 summary(covariateData2b)

@@ -746,21 +752,25 @@

Comparing two cohorts addDescendantsToExclude = TRUE ) -covCelecoxib <- getDbCovariateData(connectionDetails = connectionDetails, - cdmDatabaseSchema = cdmDatabaseSchema, - cohortDatabaseSchema = resultsDatabaseSchema, - cohortTable = "cohorts_of_interest", - cohortIds = c(1118084), - covariateSettings = settings, - aggregated = TRUE) +covCelecoxib <- getDbCovariateData( + connectionDetails = connectionDetails, + cdmDatabaseSchema = cdmDatabaseSchema, + cohortDatabaseSchema = resultsDatabaseSchema, + cohortTable = "cohorts_of_interest", + cohortIds = c(1118084), + covariateSettings = settings, + aggregated = TRUE +) -covDiclofenac <- getDbCovariateData(connectionDetails = connectionDetails, - cdmDatabaseSchema = cdmDatabaseSchema, - cohortDatabaseSchema = resultsDatabaseSchema, - cohortTable = "cohorts_of_interest", - cohortIds = c(1124300), - covariateSettings = settings, - aggregated = TRUE) +covDiclofenac <- getDbCovariateData( + connectionDetails = connectionDetails, + cdmDatabaseSchema = cdmDatabaseSchema, + cohortDatabaseSchema = resultsDatabaseSchema, + cohortTable = "cohorts_of_interest", + cohortIds = c(1124300), + covariateSettings = settings, + aggregated = TRUE +) std <- computeStandardizedDifference(covCelecoxib, covDiclofenac)

In this example we have chosen to exclude any covariates derived from the two concepts that were used to define the two cohorts: celecoxib diff --git a/docs/articles/UsingFeatureExtractionKorean.html b/docs/articles/UsingFeatureExtractionKorean.html index 425dc4cc..a724c412 100644 --- a/docs/articles/UsingFeatureExtractionKorean.html +++ b/docs/articles/UsingFeatureExtractionKorean.html @@ -33,7 +33,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 @@ -100,7 +100,7 @@

Using FeatureExtraction (Korean)

Jeon Ga Bin & Martijn J. Schuemie

-

2024-04-18

+

2024-04-22

Source: vignettes/UsingFeatureExtractionKorean.Rmd @@ -482,13 +482,15 @@

관심 코호트에
 covariateSettings <- createDefaultCovariateSettings()
 
-covariateData <- getDbCovariateData(connectionDetails = connectionDetails,
-                                    cdmDatabaseSchema = cdmDatabaseSchema,
-                                    cohortDatabaseSchema = resultsDatabaseSchema,
-                                    cohortTable = "cohorts_of_interest",
-                                    cohortIds = c(1118084),
-                                    rowIdField = "subject_id",
-                                    covariateSettings = covariateSettings)
+covariateData <- getDbCovariateData(
+  connectionDetails = connectionDetails,
+  cdmDatabaseSchema = cdmDatabaseSchema,
+  cohortDatabaseSchema = resultsDatabaseSchema,
+  cohortTable = "cohorts_of_interest",
+  cohortIds = c(1118084),
+  rowIdField = "subject_id",
+  covariateSettings = covariateSettings
+)
 
 summary(covariateData)
@@ -578,13 +580,15 @@

코호트에 대한 집계
 covariateSettings <- createDefaultCovariateSettings()
 
-covariateData2 <- getDbCovariateData(connectionDetails = connectionDetails,
-                                     cdmDatabaseSchema = cdmDatabaseSchema,
-                                     cohortDatabaseSchema = resultsDatabaseSchema,
-                                     cohortTable = "cohorts_of_interest",
-                                     cohortIds = c(1118084),
-                                     covariateSettings = covariateSettings,
-                                     aggregated = TRUE)
+covariateData2 <- getDbCovariateData(
+  connectionDetails = connectionDetails,
+  cdmDatabaseSchema = cdmDatabaseSchema,
+  cohortDatabaseSchema = resultsDatabaseSchema,
+  cohortTable = "cohorts_of_interest",
+  cohortIds = c(1118084),
+  covariateSettings = covariateSettings,
+  aggregated = TRUE
+)
 summary(covariateData2)

aggregated = TRUE로 지정했다. 또한 더 이상 personId 데이터를 받지 않기 때문에 더 이상 rowIdField를 정의 할 필요가 없다.

@@ -648,13 +652,15 @@

테이블 만들기 1
 covariateSettings <- createTable1CovariateSettings()
 
-covariateData2b <- getDbCovariateData(connectionDetails = connectionDetails,
-                                      cdmDatabaseSchema = cdmDatabaseSchema,
-                                      cohortDatabaseSchema = resultsDatabaseSchema,
-                                      cohortTable = "cohorts_of_interest",
-                                      cohortIds = c(1118084),
-                                      covariateSettings = covariateSettings,
-                                      aggregated = TRUE)
+covariateData2b <- getDbCovariateData(
+  connectionDetails = connectionDetails,
+  cdmDatabaseSchema = cdmDatabaseSchema,
+  cohortDatabaseSchema = resultsDatabaseSchema,
+  cohortTable = "cohorts_of_interest",
+  cohortIds = c(1118084),
+  covariateSettings = covariateSettings,
+  aggregated = TRUE
+)
 summary(covariateData2b)

  1. 두 개의 코호트 비교
  2. @@ -669,21 +675,25 @@

    테이블 만들기 1 addDescendantsToExclude = TRUE ) -covCelecoxib <- getDbCovariateData(connectionDetails = connectionDetails, - cdmDatabaseSchema = cdmDatabaseSchema, - cohortDatabaseSchema = resultsDatabaseSchema, - cohortTable = "cohorts_of_interest", - cohortIds = c(1118084), - covariateSettings = settings, - aggregated = TRUE) +covCelecoxib <- getDbCovariateData( + connectionDetails = connectionDetails, + cdmDatabaseSchema = cdmDatabaseSchema, + cohortDatabaseSchema = resultsDatabaseSchema, + cohortTable = "cohorts_of_interest", + cohortIds = c(1118084), + covariateSettings = settings, + aggregated = TRUE +) -covDiclofenac <- getDbCovariateData(connectionDetails = connectionDetails, - cdmDatabaseSchema = cdmDatabaseSchema, - cohortDatabaseSchema = resultsDatabaseSchema, - cohortTable = "cohorts_of_interest", - cohortIds = c(1124300), - covariateSettings = settings, - aggregated = TRUE) +covDiclofenac <- getDbCovariateData( + connectionDetails = connectionDetails, + cdmDatabaseSchema = cdmDatabaseSchema, + cohortDatabaseSchema = resultsDatabaseSchema, + cohortTable = "cohorts_of_interest", + cohortIds = c(1124300), + covariateSettings = settings, + aggregated = TRUE +) std <- computeStandardizedDifference(covCelecoxib, covDiclofenac)

    위의 예에서는 celecoxib (1118084)와 diclofenac (1124300)의 두 가지 코호트를 정의하는 데 사용 된 두 가지 개념에서 파생 된 공변량을 diff --git a/docs/articles/index.html b/docs/articles/index.html index 34b10b49..c61270a7 100644 --- a/docs/articles/index.html +++ b/docs/articles/index.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/authors.html b/docs/authors.html index ee6dde43..1ee525be 100644 --- a/docs/authors.html +++ b/docs/authors.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 @@ -111,13 +111,13 @@

    Citation

    Schuemie M, Suchard M, Ryan P, Reps J, Sena A, Inberg G (2024). FeatureExtraction: Generating Features for a Cohort. -R package version 3.5.0, https://github.com/OHDSI/FeatureExtraction. +R package version 3.5.1, https://github.com/OHDSI/FeatureExtraction.

    @Manual{,
       title = {FeatureExtraction: Generating Features for a Cohort},
       author = {Martijn Schuemie and Marc Suchard and Patrick Ryan and Jenna Reps and Anthony Sena and Ger Inberg},
       year = {2024},
    -  note = {R package version 3.5.0},
    +  note = {R package version 3.5.1},
       url = {https://github.com/OHDSI/FeatureExtraction},
     }
    diff --git a/docs/index.html b/docs/index.html index 08e4ef7e..eeb65efb 100644 --- a/docs/index.html +++ b/docs/index.html @@ -33,7 +33,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/news/index.html b/docs/news/index.html index 6447f18b..e274ae01 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 @@ -75,6 +75,11 @@

    Changelog

    Source: NEWS.md +
    + +

    Bug Fixes:

    +
    • Minimum threshold for covariate mean should be inclusive of the value parameter (#249)
    • +

    New Features:

    diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index 7ecb9550..492a0fd4 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -8,5 +8,5 @@ articles: CreatingCustomCovariateBuildersKorean: CreatingCustomCovariateBuildersKorean.html UsingFeatureExtraction: UsingFeatureExtraction.html UsingFeatureExtractionKorean: UsingFeatureExtractionKorean.html -last_built: 2024-04-18T09:32Z +last_built: 2024-04-22T16:15Z diff --git a/docs/pull_request_template.html b/docs/pull_request_template.html index 2f72df7b..56f0cdd8 100644 --- a/docs/pull_request_template.html +++ b/docs/pull_request_template.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1
    diff --git a/docs/reference/CovariateData-class.html b/docs/reference/CovariateData-class.html index ae9e5ab5..7fa4ef64 100644 --- a/docs/reference/CovariateData-class.html +++ b/docs/reference/CovariateData-class.html @@ -25,7 +25,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/FeatureExtraction-package.html b/docs/reference/FeatureExtraction-package.html index 121b7dd4..f7b1e972 100644 --- a/docs/reference/FeatureExtraction-package.html +++ b/docs/reference/FeatureExtraction-package.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/aggregateCovariates.html b/docs/reference/aggregateCovariates.html index 938bcb49..318271a2 100644 --- a/docs/reference/aggregateCovariates.html +++ b/docs/reference/aggregateCovariates.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/computeStandardizedDifference.html b/docs/reference/computeStandardizedDifference.html index 50507a13..c945eb66 100644 --- a/docs/reference/computeStandardizedDifference.html +++ b/docs/reference/computeStandardizedDifference.html @@ -18,7 +18,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/convertPrespecSettingsToDetailedSettings.html b/docs/reference/convertPrespecSettingsToDetailedSettings.html index 328d87fd..0654e060 100644 --- a/docs/reference/convertPrespecSettingsToDetailedSettings.html +++ b/docs/reference/convertPrespecSettingsToDetailedSettings.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createAnalysisDetails.html b/docs/reference/createAnalysisDetails.html index a77dcaab..1d256f46 100644 --- a/docs/reference/createAnalysisDetails.html +++ b/docs/reference/createAnalysisDetails.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createCohortAttrCovariateSettings.html b/docs/reference/createCohortAttrCovariateSettings.html index 43162af3..ce208a1c 100644 --- a/docs/reference/createCohortAttrCovariateSettings.html +++ b/docs/reference/createCohortAttrCovariateSettings.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createCohortBasedCovariateSettings.html b/docs/reference/createCohortBasedCovariateSettings.html index b6c6c6e1..ba6be4a0 100644 --- a/docs/reference/createCohortBasedCovariateSettings.html +++ b/docs/reference/createCohortBasedCovariateSettings.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createCohortBasedTemporalCovariateSettings.html b/docs/reference/createCohortBasedTemporalCovariateSettings.html index 4a15d1f2..92123898 100644 --- a/docs/reference/createCohortBasedTemporalCovariateSettings.html +++ b/docs/reference/createCohortBasedTemporalCovariateSettings.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createCovariateSettings.html b/docs/reference/createCovariateSettings.html index a3c3b71e..0d5f6739 100644 --- a/docs/reference/createCovariateSettings.html +++ b/docs/reference/createCovariateSettings.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createDefaultCovariateSettings.html b/docs/reference/createDefaultCovariateSettings.html index e264bfb8..b20a4a1f 100644 --- a/docs/reference/createDefaultCovariateSettings.html +++ b/docs/reference/createDefaultCovariateSettings.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createDefaultTemporalCovariateSettings.html b/docs/reference/createDefaultTemporalCovariateSettings.html index d0c838f8..9d4cee0b 100644 --- a/docs/reference/createDefaultTemporalCovariateSettings.html +++ b/docs/reference/createDefaultTemporalCovariateSettings.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createDetailedCovariateSettings.html b/docs/reference/createDetailedCovariateSettings.html index e5a4e669..0b402bdd 100644 --- a/docs/reference/createDetailedCovariateSettings.html +++ b/docs/reference/createDetailedCovariateSettings.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createDetailedTemporalCovariateSettings.html b/docs/reference/createDetailedTemporalCovariateSettings.html index 2d277f61..43916b6a 100644 --- a/docs/reference/createDetailedTemporalCovariateSettings.html +++ b/docs/reference/createDetailedTemporalCovariateSettings.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createEmptyCovariateData.html b/docs/reference/createEmptyCovariateData.html index e1c09033..f8c2360a 100644 --- a/docs/reference/createEmptyCovariateData.html +++ b/docs/reference/createEmptyCovariateData.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createTable1.html b/docs/reference/createTable1.html index 7d8247a1..fbb51870 100644 --- a/docs/reference/createTable1.html +++ b/docs/reference/createTable1.html @@ -18,7 +18,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createTable1CovariateSettings.html b/docs/reference/createTable1CovariateSettings.html index 716b91b0..56895c5e 100644 --- a/docs/reference/createTable1CovariateSettings.html +++ b/docs/reference/createTable1CovariateSettings.html @@ -19,7 +19,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createTemporalCovariateSettings.html b/docs/reference/createTemporalCovariateSettings.html index cda3ed97..298606a1 100644 --- a/docs/reference/createTemporalCovariateSettings.html +++ b/docs/reference/createTemporalCovariateSettings.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/createTemporalSequenceCovariateSettings.html b/docs/reference/createTemporalSequenceCovariateSettings.html index 5d3f80fc..9a0e2c17 100644 --- a/docs/reference/createTemporalSequenceCovariateSettings.html +++ b/docs/reference/createTemporalSequenceCovariateSettings.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/dot-createLooCovariateSettings.html b/docs/reference/dot-createLooCovariateSettings.html index 5fd83366..4944365b 100644 --- a/docs/reference/dot-createLooCovariateSettings.html +++ b/docs/reference/dot-createLooCovariateSettings.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/dot-getDbLooCovariateData.html b/docs/reference/dot-getDbLooCovariateData.html index cf249293..35c60cb5 100644 --- a/docs/reference/dot-getDbLooCovariateData.html +++ b/docs/reference/dot-getDbLooCovariateData.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/filterByCohortDefinitionId.html b/docs/reference/filterByCohortDefinitionId.html index 80aaa023..040edad7 100644 --- a/docs/reference/filterByCohortDefinitionId.html +++ b/docs/reference/filterByCohortDefinitionId.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/filterByRowId.html b/docs/reference/filterByRowId.html index e0d2c0e4..a9d88b20 100644 --- a/docs/reference/filterByRowId.html +++ b/docs/reference/filterByRowId.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/filterCovariateDataCovariates.html b/docs/reference/filterCovariateDataCovariates.html index beaeaede..20e285d7 100644 --- a/docs/reference/filterCovariateDataCovariates.html +++ b/docs/reference/filterCovariateDataCovariates.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/getDbCohortAttrCovariatesData.html b/docs/reference/getDbCohortAttrCovariatesData.html index 283e869d..01f1b127 100644 --- a/docs/reference/getDbCohortAttrCovariatesData.html +++ b/docs/reference/getDbCohortAttrCovariatesData.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/getDbCohortBasedCovariatesData.html b/docs/reference/getDbCohortBasedCovariatesData.html index 6b20a89c..78795dae 100644 --- a/docs/reference/getDbCohortBasedCovariatesData.html +++ b/docs/reference/getDbCohortBasedCovariatesData.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/getDbCovariateData.html b/docs/reference/getDbCovariateData.html index c5d2cea1..7d61fd1d 100644 --- a/docs/reference/getDbCovariateData.html +++ b/docs/reference/getDbCovariateData.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/getDbDefaultCovariateData.html b/docs/reference/getDbDefaultCovariateData.html index 1d188bf1..f71bdfdb 100644 --- a/docs/reference/getDbDefaultCovariateData.html +++ b/docs/reference/getDbDefaultCovariateData.html @@ -19,7 +19,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/getDefaultTable1Specifications.html b/docs/reference/getDefaultTable1Specifications.html index a6c61af4..fcc3131a 100644 --- a/docs/reference/getDefaultTable1Specifications.html +++ b/docs/reference/getDefaultTable1Specifications.html @@ -18,7 +18,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/index.html b/docs/reference/index.html index 416fc30b..29260300 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 @@ -79,10 +79,6 @@

    All functions

    -

    show(<CovariateData>) summary(<CovariateData>)

    - -

    Covariate Data

    -

    aggregateCovariates()

    Aggregate covariate data

    @@ -94,6 +90,10 @@

    All functions convertPrespecSettingsToDetailedSettings()

    Convert prespecified covariate settings into detailed covariate settings

    + +

    show(<CovariateData>) summary(<CovariateData>)

    + +

    Covariate Data

    createAnalysisDetails()

    diff --git a/docs/reference/isAggregatedCovariateData.html b/docs/reference/isAggregatedCovariateData.html index f3dff64e..af17978a 100644 --- a/docs/reference/isAggregatedCovariateData.html +++ b/docs/reference/isAggregatedCovariateData.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/isCovariateData.html b/docs/reference/isCovariateData.html index 97a20c0d..cbf19536 100644 --- a/docs/reference/isCovariateData.html +++ b/docs/reference/isCovariateData.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/isTemporalCovariateData.html b/docs/reference/isTemporalCovariateData.html index 79266f81..8fda1aa5 100644 --- a/docs/reference/isTemporalCovariateData.html +++ b/docs/reference/isTemporalCovariateData.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/loadCovariateData.html b/docs/reference/loadCovariateData.html index 10a2b86c..b4921933 100644 --- a/docs/reference/loadCovariateData.html +++ b/docs/reference/loadCovariateData.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/saveCovariateData.html b/docs/reference/saveCovariateData.html index b1548d70..a24daa11 100644 --- a/docs/reference/saveCovariateData.html +++ b/docs/reference/saveCovariateData.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/reference/tidyCovariateData.html b/docs/reference/tidyCovariateData.html index e1c66e0d..4d327ac6 100644 --- a/docs/reference/tidyCovariateData.html +++ b/docs/reference/tidyCovariateData.html @@ -17,7 +17,7 @@ FeatureExtraction - 3.5.0 + 3.5.1 diff --git a/docs/sitemap.xml b/docs/sitemap.xml index 5d9c8512..ffd27349 100644 --- a/docs/sitemap.xml +++ b/docs/sitemap.xml @@ -16,13 +16,13 @@ /articles/CreatingCustomCovariateBuildersKorean.html - /articles/UsingFeatureExtraction.html + /articles/index.html - /articles/UsingFeatureExtractionKorean.html + 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