Parse FAERS Quarterly Data

faers_parse(
  path,
  format = NULL,
  year = NULL,
  quarter = NULL,
  compress_dir = getwd()
)

Arguments

path: A string specifies the path of FAERS Quarterly Data. You can pass the FAERS zip file directly, In this way, all files in the zip file will be extracted in compress_dir. Or, you can also uncompressed youself, and passed the directory contained the uncompressed files.
format: File format to used, only "ascii" and "xml" are availabe. Default: "ascii".
year: Year of the FAERS Quarterly Data. Coerced into integer, if NULL, this will be extracted from path.
quarter: String specifies quarter of the FAERS data, if NULL, this will be extracted from path.
compress_dir: A string specifies the directory to extract files to. It will be created if necessary.

Value

A FAERSxml or FAERSascii object.

Unification

For all fields data:

All names have been converted to lowercase.
Rename "isr" into "primaryid" for periods before 2012q3.

Field specific operations:

demo:
- Rename "gndr_cod" into "gender" for periods before 2014q2.
- Rename "sex" into "gender" for periods after or equal to 2014q2.
- Rename "case" and "i_f_cod" into "caseid" and "i_f_code" for legacy aers, before 2012q3.
- "age_in_years" was added, measured in years.
- "country_code" was added (encoded according to the iso2c standards), it will be convenient to translate it into other code with countrycode().
- "sex" was added, which recoded "F" as "Female", "M" as "Male" and other values as NA.
ther: Rename "drug_seq" into "dsg_drug_seq" for legacy aers, before 2012q3.
indi: Rename "drug_seq" into "indi_drug_seq" for legacy aers, before 2012q3.
outc: Rename "outc_code" into "outc_cod" for 2012q4 data

Examples

# the files included in the package are sampled
data <- faers_parse(
    system.file("extdata", "aers_ascii_2004q1.zip", package = "faers"),
    compress_dir = tempdir()
)