dbGaPCheckup 1.1.0

• added an informative error message when the required VALUES column is missing
• adjusted values_check to temporarily create dummy names for blank-named columns beyond VALUES to prevent function from dying if column names after VALUES are blank strings
• corrected minmax_check and integer_check bugs that occurred when SUBJECT_ID was a character vector
• adjusted misc_format_check to return a WARNING that alerts users if they read in a data set and R automatically fills in column names after VALUES (which is allowed by the package, but not dbGaP itself)
• adjusted NA_check to correctly capture NA=N/A VALUES
• corrected bug in type_check that was allowing some non-allowable TYPE entries to pass
• corrected but in missing_value_check that was flagging some variables even when they had properly encoded NA=N/A VALUES
• made complete_check more robust to errors by wrapping functions in tryCatch
• used seealso to link utility functions to relevant check functions

dbGaPCheckup 1.0.2

• remove row numbers from data set files
• rename data dictionary files by removing "SSM" acronym (done to avoid confusion as this means “subject sample mapping” and is intended for use with other dbGaP data files)
• update id_check() to include a check for missing SUBJECT_IDs (not allowed by dbGaP)
• update row_check() to check for duplicate and empty rows in the data dictionary (and not just the data set)
• update misc_format_check() to check that there are no missing VARNAME cells
• submission of R2 of software announcement, archive in zenodo

dbGaPCheckup 1.0.1

-apply na_if() to a single row at a time (vs entire data frame) to maintain compatibility with dplyr updates