Sampling option

R/summariseAllConceptCounts.R

@@ -52,6 +52,8 @@ checkFeasibility <- function(omopTable, tableName, conceptId){
 #' @param sex TRUE or FALSE. If TRUE code use will be summarised by sex.
 #' @param ageGroup A list of ageGroup vectors of length two. Code use will be
 #' thus summarised by age groups.
+#' @param sample An integer to sample the tables to only that number of records.
+#' If NULL no sample is done.
 #' @param dateRange A list containing the minimum and the maximum dates
 #' defining the time range within which the analysis is performed.
 #' @return A summarised_result object with results overall and, if specified, by
@@ -63,6 +65,7 @@ summariseAllConceptCounts <- function(cdm,
                             year = FALSE,
                             sex = FALSE,
                             ageGroup = NULL,
+                            sample = 1000000,
                             dateRange = NULL){
 
   omopgenerics::validateCdmArgument(cdm)
@@ -93,7 +96,7 @@ summariseAllConceptCounts <- function(cdm,
   }
 
   omopTable <- restrictStudyPeriod(omopTable, dateRange)
-
+  omopTable <- sampleOmopTable(omopTable, sample)
 
   indexDate <- startDate(omopgenerics::tableName(omopTable))
 

R/summariseClinicalRecords.R

@@ -22,6 +22,8 @@
 #' @param ageGroup A list of age groups to stratify results by.
 #' @param sex Boolean variable. Whether to stratify by sex (TRUE) or not
 #' (FALSE).
+#' @param sample An integer to sample the tables to only that number of records.
+#' If NULL no sample is done.
 #' @param dateRange A list containing the minimum and the maximum dates
 #' defining the time range within which the analysis is performed.
 #' @return A summarised_result object.
@@ -55,6 +57,7 @@ summariseClinicalRecords <- function(cdm,
                                      typeConcept = TRUE,
                                      sex = FALSE,
                                      ageGroup = NULL,
+                                     sample = 1000000,
                                      dateRange = NULL) {
   # Initial checks ----
   omopgenerics::validateCdmArgument(cdm)
@@ -93,6 +96,7 @@ summariseClinicalRecords <- function(cdm,
       typeConcept = typeConcept,
       sex = sex,
       ageGroup = ageGroup,
+      sample = sample,
       dateRange = dateRange
     )
   }) |>
@@ -112,6 +116,7 @@ summariseClinicalRecord <- function(omopTableName,
                                     typeConcept,
                                     sex,
                                     ageGroup,
+                                    sample,
                                     dateRange,
                                     call = parent.frame(3)) {
 
@@ -124,8 +129,8 @@ summariseClinicalRecord <- function(omopTableName,
 
   omopTable <- cdm[[omopTableName]] |>
     dplyr::ungroup()
-
   omopTable <- restrictStudyPeriod(omopTable, dateRange)
+  omopTable <- sampleOmopTable(omopTable, sample)
   if(omopgenerics::isTableEmpty(omopTable)) {
     return(omopgenerics::emptySummarisedResult(settings = createSettings(result_type = "summarise_clinical_records", study_period = dateRange)))
   }

R/summariseConceptSetCounts.R

@@ -10,6 +10,8 @@
 #' @param sex TRUE or FALSE. If TRUE code use will be summarised by sex.
 #' @param ageGroup A list of ageGroup vectors of length two. Code use will be
 #' thus summarised by age groups.
+#' @param sample An integer to sample the tables in the cdm object to only that number of records.
+#' If NULL no sample is done.
 #' @param dateRange A list containing the minimum and the maximum dates
 #' defining the time range within which the analysis is performed.
 #' @return A summarised_result object with results overall and, if specified, by
@@ -37,6 +39,7 @@
                                    interval = "overall",
                                    sex = FALSE,
                                    ageGroup = NULL,
+                                   sample = 1000000,
                                    dateRange = NULL){
 
   omopgenerics::validateCdmArgument(cdm)
@@ -74,6 +77,7 @@
                                unitInterval = unitInterval,
                                sex = sex,
                                ageGroup = ageGroup,
+                               sample = sample,
                                dateRange = dateRange)
     Sys.sleep(i/length(conceptSet))
     cli::cli_progress_update()
@@ -107,6 +111,7 @@
                        unitInterval,
                        sex,
                        ageGroup,
+                       sample,
                        dateRange,
                        call = parent.frame()){
 
@@ -150,26 +155,27 @@
   records <- getRelevantRecords(cdm = cdm,
                                 tableCodelist = tableCodelist,
                                 intermediateTable = intermediateTable,
-                                tablePrefix = tablePrefix)
-  if(is.null(records)){
+                                tablePrefix = tablePrefix,
+                                sample = sample, dateRange = dateRange)
+
+  if(is.null(records) || omopgenerics::isTableEmpty(records)){
     cc <- dplyr::tibble()
     cli::cli_inform(c(
       "i" = "No records found in the cdm for the concepts provided."
     ))
     return(omopgenerics::emptySummarisedResult(settings = createSettings(result_type = "summarise_concept_set_counts", study_period = dateRange)))
   }
 
-  if (!is.null(dateRange))
-  {
-    records <- records |>
-      dplyr::filter(
-        as.Date(date) >= !!dateRange[1]& as.Date(date) <= !!dateRange[2]
-      )
-    if (is.null(warningEmptyStudyPeriod(records))){
-      return(tibble::tibble())
-    }
-
-  }
+  # if (!is.null(dateRange))
+  # {
+  #   records <- records |>
+  #     dplyr::filter(
+  #       as.Date(date) >= !!dateRange[1]& as.Date(date) <= !!dateRange[2]
+  #     )
+  #   if (is.null(warningEmptyStudyPeriod(records))){
+  #     return(tibble::tibble())
+  #   }
+  # }
   records <- addStrataToOmopTable(records, "date", ageGroup, sex)
   strata  <- getStrataList(sex, ageGroup)
 
@@ -238,7 +244,8 @@
 getRelevantRecords <- function(cdm,
                                tableCodelist,
                                intermediateTable,
-                               tablePrefix){
+                               tablePrefix,
+                               sample, dateRange){
 
   codes <- cdm[[tableCodelist]] |> dplyr::collect()
 
@@ -248,9 +255,11 @@
   dateName <- purrr::discard(unique(codes$start_date), is.na)
 
   if(length(tableName)>0){
-    codeRecords <- cdm[[tableName[[1]]]]
+    codeRecords <- cdm[[tableName[[1]]]]|>
+      restrictStudyPeriod(dateRange)|>
+      sampleOmopTable(sample)
 
-    if(is.null(codeRecords)){return(NULL)}
+    if(is.null(codeRecords) || omopgenerics::isTableEmpty(codeRecords)){return(NULL)}
 
     tableCodes <- paste0(tablePrefix, "table_codes")
 
@@ -290,7 +299,10 @@
   # get for any additional domains and union
   if(length(tableName) > 1) {
     for(i in 1:(length(tableName)-1)) {
-      workingRecords <-  cdm[[tableName[[i+1]]]]
+      workingRecords <-  cdm[[tableName[[i+1]]]] |>
+        restrictStudyPeriod(dateRange)|>
+        sampleOmopTable(sample)
+      if(is.null(workingRecords) || omopgenerics::isTableEmpty(workingRecords)){return(NULL)}
 
       workingRecords <-  workingRecords %>%
         dplyr::mutate(date = !!dplyr::sym(dateName[[i+1]])) %>%

R/summariseRecordCount.R

@@ -9,6 +9,8 @@
 #' @param sex Whether to stratify by sex (TRUE) or not (FALSE).
 #' @param dateRange A list containing the minimum and the maximum dates
 #' defining the time range within which the analysis is performed.
+#' @param sample An integer to sample the tables to only that number of records.
+#' If NULL no sample is done.
 #' @return A summarised_result object.
 #' @export
 #' @examples
@@ -35,7 +37,9 @@ summariseRecordCount <- function(cdm,
                                  interval = "overall",
                                  ageGroup = NULL,
                                  sex = FALSE,
-                                 dateRange = NULL) {
+                                 sample = 1000000,
+                                 dateRange = NULL
+                                 ) {
 
   # Initial checks ----
   omopgenerics::validateCdmArgument(cdm)
@@ -48,6 +52,7 @@ summariseRecordCount <- function(cdm,
   omopgenerics::assertLogical(sex, length = 1)
   dateRange <- validateStudyPeriod(cdm, dateRange)
 
+
   result <- purrr::map(omopTableName,
                        function(x) {
                          omopgenerics::assertClass(cdm[[x]], "omop_table", call = parent.frame())
@@ -66,7 +71,9 @@ summariseRecordCount <- function(cdm,
                                                       original_interval,
                                                       ageGroup = ageGroup,
                                                       sex = sex,
-                                                      dateRange = dateRange)
+                                                      sample = sample,
+                                                      dateRange = dateRange
+                                                      )
                        }
   ) |>
     dplyr::bind_rows()
@@ -76,10 +83,12 @@ summariseRecordCount <- function(cdm,
 
 #' @noRd
 summariseRecordCountInternal <- function(omopTableName, cdm, interval, unitInterval,
-                                         original_interval, ageGroup, sex, dateRange) {
+                                         original_interval, ageGroup, sex, sample, dateRange) {
 
   prefix <- omopgenerics::tmpPrefix()
   omopTable <- cdm[[omopTableName]] |> dplyr::ungroup()
+  omopTable <- restrictStudyPeriod(omopTable, dateRange)
+  omopTable <- sampleOmopTable(omopTable, sample)
 
   # Create initial variables ----
 

R/utilities.R

@@ -83,4 +83,17 @@ createSettings <- function(result_type, result_id = 1L, package_name = "OmopSket
   return(settings)
 }
 
+sampleOmopTable <- function(omopTable, sample){
+  sampling <- !is.null(sample) & !is.infinite(sample)
+
+  if (sampling & omopTable |> dplyr::tally() |> dplyr::pull() <= sample) {
+    sampling <- FALSE
+  }
+
+  if (sampling){
+    omopTable <- omopTable |>
+      dplyr::slice_sample(n = sample)
+  }
+  return(omopTable)
+}
 

tests/testthat/test-summariseAllConceptCounts.R

@@ -76,6 +76,20 @@ test_that("dateRange argument works", {
   expect_equal(colnames(settings(y)), colnames(settings(x)))
   PatientProfiles::mockDisconnect(cdm = cdm)
 })
+test_that("sample argument works", {
+  skip_on_cran()
+  # Load mock database ----
+  cdm <- cdmEunomia()
+
+  expect_no_error(x<-summariseAllConceptCounts(cdm,"drug_exposure", sample = 50))
+  expect_no_error(y<-summariseAllConceptCounts(cdm,"drug_exposure"))
+  n <- cdm$drug_exposure |>
+    dplyr::tally()|>
+    dplyr::pull(n)
+  expect_no_error(z<-summariseAllConceptCounts(cdm,"drug_exposure",sample = n))
+  expect_equal(y,z)
+  PatientProfiles::mockDisconnect(cdm = cdm)
+})
 
 test_that("tableAllConceptCounts() works", {
   skip_on_cran()

tests/testthat/test-summariseClinicalRecords.R

@@ -247,6 +247,21 @@ test_that("dateRange argument works", {
 
 })
 
+test_that("sample argument works", {
+  skip_on_cran()
+  # Load mock database ----
+  cdm <- cdmEunomia()
+
+  expect_no_error(x<-summariseClinicalRecords(cdm,"drug_exposure", sample = 50))
+  expect_no_error(y<-summariseClinicalRecords(cdm,"drug_exposure"))
+  n <- cdm$drug_exposure |>
+    dplyr::tally()|>
+    dplyr::pull(n)
+  expect_no_error(z<-summariseClinicalRecords(cdm,"drug_exposure",sample = n))
+  expect_equal(y,z)
+  PatientProfiles::mockDisconnect(cdm = cdm)
+})
+
 test_that("tableClinicalRecords() works", {
   skip_on_cran()
   # Load mock database ----

tests/testthat/test-summariseConceptSetCounts.R

@@ -558,3 +558,19 @@ test_that("dateRange argument works", {
   expect_equal(colnames(settings(z)), colnames(settings(x)))
   PatientProfiles::mockDisconnect(cdm = cdm)
 })
+
+
+test_that("sample argument works", {
+  skip_on_cran()
+  # Load mock database ----
+  cdm <- cdmEunomia()
+
+  expect_no_error(d<-summariseConceptSetCounts(cdm,conceptSet = list("zoster vax" = c(40213260)), sample = 50))
+  expect_no_error(y<-summariseConceptSetCounts(cdm,conceptSet = list("zoster vax" = c(40213260))))
+  n <- cdm$drug_exposure |>
+    dplyr::tally()|>
+    dplyr::pull(n)
+  expect_no_error(z<-summariseConceptSetCounts(cdm,conceptSet = list("zoster vax" = c(40213260)),sample = n))
+  expect_equal(y,z)
+  PatientProfiles::mockDisconnect(cdm = cdm)
+})