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Dataset growing (MT example) #534

@hillarymarler

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@hillarymarler

Issue submitted via e-mail:

I am trying to use the steps in the tada package for all my future projects, and first I am just going through step by step and inspecting the results. I tried to run this very simple code below, and my resulting file “Gallatinprofile2” has more records than “Gallatinprofile” and appears to have a bunch of duplicates of the same resultidentifier owing perhaps to the column “TADA.DetectionQuantitationLimitMeasure.MeasureValue”. For instance, for the ResultIdentifier STORET-380029742, there is now a record with TADA.DetectionQuantitationLimitMeasure.MeasureValue of 0.005 ug/L and one of 5 ug/L. I know you are probably getting way too many of these questions about tada, but I am hoping you can help me explain what is happening here. When applyautoclean=TRUE is applied during the initial retrieval, it doesn’t appear to yield these added records. However I am choosing to go through the steps individually to understand the process.

Thank you!

Gallatindata=TADA_DataRetrieval(huc="10020008",characteristicType="Nutrient",startDate="2014-01-01", endDate="2024-10-16", sampleMedia="Water")

Gallatinprofile<-TADA_AnalysisDataFilter(Gallatindata,surface_water=TRUE,clean=TRUE,ground_water=FALSE,sediment=FALSE)

Gallatinprofile2<-TADA_AutoClean(Gallatinprofile)

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