v2.1.2

• Warning is now returned if a column for a QC check includes all na entries on import of the DQO accuracy file with readMWRacc()
• readMWRacc() no longer uses dplyr::na_if() on all columns, only for numeric, to correctly identify columns that have all na entries for a QC check
• Sorting behavior for dplyr::arrange() reverted to .locale = 'en' to ignore case
• utilMWRfre() function added to prep results data for frequency checks, similar to existing utilMWRlimits() function
• Correct number of data records is now reported by tabMWRfre() following value range filtering
• tabMWRfre() and qcMWRfre() now require the DQO accuracy file as input to identify appropriate ranges to check for each parameter using the value range column
• Added utilMWRvaluerange() function to check for na, gaps, and overlap in the value range column on import of the DQO accuracy file with readMWRacc()
• Error is now returned if overlapping value ranges are present in the DQO accuracy file
• Warning now returned if gaps are present in the value ranges for a parameter in the DQO accuracy file
• Fix to checkMWRacc() to convert MDL and UQL columns in DQO accuracy as numeric following import as text
• Fixed bug to evaluate lab spike QC checks as the absolute difference, was previously a relative difference
• New error message if the upper value range in the DQO accuracy file is not a percent value for lab spike QC checks with units as percentage
• Lab spikes entered as a percent measure are now evaluated against the correct data quality objective using the upper value range
• Better error and warning messages for tabMWRacc() for incorrect and required data for individual QC checks