dbGaP version 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 version 1.0.2
- removed row numbers from data set files
- renamed 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)
- updated id_check() to include a check for missing SUBJECT_IDs (not
allowed by dbGaP)
- updated row_check() to check for duplicate and empty rows in the
data dictionary (and not just the data set)
- updated misc_format_check() to check that there are no missing
VARNAME cells
dbGaPCheckup version 1.0.1
- apply na_if() to one column at a time (vs. entire data frame at
once) to maintain compatibility with next version of dplyr
dbGaPCheckup version 1.0.0
NEWS.md setup