Arguments
- .data
The dataset used to identify individual reports (usually, it is
demo
)- d_code
A named list of drug codes (DrecNos or MPI). See Details.
- d_names
A character vector. Names for drug columns (must be the same length as d_code), default to
names(d_code)
- repbasis
Suspect, interacting and/or concomitant. Type initial of those you wish to select ("s" for suspect, "c" for concomitant and "i" for interacting ; default to all, e.g. "sci").
- method
A character string. The type of drug code (DrecNo or MedicinalProd_Id). See details.
- drug_data
A data.frame containing the drug data (usually, it is
drug
)- data_type
Value
A dataset with the new drug columns.
Each element of d_names
will add a column with the same name in .data
.
The value can be 0 (the corresponding drug is absent)
or 1 (the drug is present in the case if .data
is demo
or adr
,
or "this row correspond to this drug", if .data
is drug
or link
).
Details
d_code
is a named list containing drug codes.
Either drug record numbers (e.g., from get_drecno()
), or
medicinalprod_ids (e.g., from get_atc_code()
). Default method is to DrecNos.
Argument repbasis
Drugs can be reported according to one of three reputation bases:
s
for suspectc
for concomitanti
for interacting
in the occurrence of the adverse drug reaction. To study only one of these
reputation basis, type only the corresponding letter in repbasis
,
e.g. "s" for suspects, or "si" for suspect or interacting.
You can add drug identification to a demo
, link
, adr
or even drug
dataset.(in this latter case, you must provide adr
twice,
as .data
and drug_data
)
Examples
# create a nivolumab column in demo_
d_sel_names <- list(nivolumab = "nivolumab")
d_drecno <- get_drecno(d_sel_names,
mp = mp_)
#>
#> ── get_drecno() ────────────────────────────────────────────────────────────────
#>
#> ── `d_sel`: Matching drugs ──
#>
#> ── ✔ Matched drugs
#>
#> → `nivolumab`: "nivolumab" and "ipilimumab;nivolumab"
#>
#> ℹ Set `verbose` to FALSE to suppress this section.
#>
#> ────────────────────────────────────────────────────────────────────────────────
demo_ <-
add_drug(
.data = demo_,
d_code = d_drecno,
method = "DrecNo",
repbasis = "sci",
drug_data = drug_
)
#> ℹ `.data` detected as `demo` table.
# remember to assign the result to your actual demo dataset
# do you want to work only with cases where nivolumab was a "suspected" drug?
# change argument repbasis to "s"
demo_ <-
add_drug(
.data = demo_,
d_code = d_drecno,
d_names = "nivolumab_suspected",
method = "DrecNo",
repbasis = "s",
drug_data = drug_
)
#> ℹ `.data` detected as `demo` table.
check_dm(demo_, cols = c("nivolumab", "nivolumab_suspected"))
#> [,1]
#> nivolumab 225
#> nivolumab_suspected 214