diff --git a/R/getSTORETSampleData.R b/R/getSTORETSampleData.R index d100874b740385aa620d6d768ffd3ded185c3411..f1a3fbe37b6b47a10aceb66f30211735c1dac6b9 100644 --- a/R/getSTORETSampleData.R +++ b/R/getSTORETSampleData.R @@ -1,6 +1,6 @@ #' Import Sample Data for WRTDS #' -#' Imports data from the Water Quality Portal. This function gets the data from: \url{http://www.waterqualitydata.us} +#' Imports data from the Water Quality Portal, so it could be STORET, NWIS, or . This function gets the data from: \url{http://www.waterqualitydata.us} #' For raw data, use getWQPData. This function will retrieve the raw data, and compress it (summing constituents). See #' chapter 7 of the EGRET user guide for more details, then converts it to the Sample dataframe structure. #' @@ -12,13 +12,33 @@ #' @keywords data import USGS WRTDS #' @export #' @return Sample dataframe -#' @seealso \code{\link{compressData}}, \code{\link{populateSampleColumns}} +#' @seealso \code{\link{getWQPData}}, \code{\link{getWQPSites}}, +#' \code{\link{retrieveWQPqwData}}, \code{\link{retrieveNWISqwData}}, and \code{\link{basicWQPData}}, +#' \code{\link{compressData}}, \code{\link{populateSampleColumns}} #' @examples #' # These examples require an internet connection to run #' Sample_01075 <- getSTORETSampleData('USGS-01594440','Chloride', '', '') #' Sample_All <- getSTORETSampleData('WIDNR_WQX-10032762','Specific conductance', '', '') getSTORETSampleData <- function(siteNumber,characteristicName,startDate,endDate,interactive=TRUE){ - data <- getWQPData(siteNumber,characteristicName,startDate,endDate,interactive=interactive) + + retval <- retrieveWQPqwData(siteNumber=siteNumber, + parameterCd=characteristicName, + startDate=startDate, + endDate=endDate, + interactive=interactive) + #Check for pcode: + if(all(nchar(characteristicName) == 5)){ + suppressWarnings(pCodeLogic <- all(!is.na(as.numeric(characteristicName)))) + } else { + pCodeLogic <- FALSE + } + + if(nrow(retval) > 0){ + data <- processQWData(retval,pCodeLogic) + } else { + data <- NULL + } + compressedData <- compressData(data, interactive=interactive) Sample <- populateSampleColumns(compressedData) return(Sample)