TADA_AutoFilter | R Documentation |
This function removes rows where the result value is not numeric to prepare a dataframe for quantitative analyses. Ideally, this function should be run after other data cleaning, QA/QC, and harmonization steps are completed using other TADA package functions, or manually. Specifically, this function removes rows with "Text" and "NA - Not Available" in the TADA.ResultMeasureValueDataTypes.Flag column, or NA in the TADA.ResultMeasureValue column. In addition, this function removes results with QA/QC ActivityTypeCode's. This function also removes any columns not required for TADA workflow where all values are equal to NA. It provides a warning message identifying any TADA required columns containing only NA values.
TADA_AutoFilter(.data)
.data |
TADA dataframe |
.data with rows non-quantitative and QA/QC results removed
TADA_filtered <- TADA_AutoFilter(Data_Nutrients_UT)
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