Combine FAERS objects from different Quarterly files.

Source: R/combine.R

Packed all FAERSascii or FAERSxml objects into a single FAERSascii or FAERSxml object. It is important to note that all data passed to these functions via the ... argument must belong to the different FAERS objects, indicating that they have the different period data (as defined by faers_period).

faers_combine(...)

Arguments

...

Multiple FAERSxml or FAERSascii objects or a list containing FAERSxml or FAERSascii objects. Objects can be standardized by faers_standardize but cannot be de-duplicated by faers_dedup. If we combine deduplicated objects from different quarterly data files, duplicate reports will be introduced again.

Value

A FAERSxml or FAERSascii object.

Examples

# the files included in the package are sampled
data1 <- faers_parse(
    system.file("extdata", "aers_ascii_2004q1.zip", package = "faers"),
    compress_dir = tempdir()
)
data2 <- faers_parse(
    system.file("extdata", "faers_ascii_2017q2.zip", package = "faers"),
    compress_dir = tempdir()
)
faers_combine(data1, data2)
#> → Combining all 2 <FAERS> Datas
#> FAERS data from 2 Quarterly ascii files
#>   Total reports: 200 (with duplicates)