This tries to find a column name in a data set based on information from the antibiotics data set. Also supports WHONET abbreviations.
Arguments
- x
- search_string
a text to search
x
for, will be checked withas.ab()
if this value is not a column inx
- verbose
a logical to indicate whether additional info should be printed
- only_sir_columns
a logical to indicate whether only antibiotic columns must be detected that were transformed to class
sir
(seeas.sir()
) on beforehand (default isFALSE
)
Details
You can look for an antibiotic (trade) name or abbreviation and it will search x
and the antibiotics data set for any column containing a name or code of that antibiotic.
Examples
df <- data.frame(
amox = "S",
tetr = "R"
)
guess_ab_col(df, "amoxicillin")
#> [1] "amox"
guess_ab_col(df, "J01AA07") # ATC code of tetracycline
#> [1] "tetr"
guess_ab_col(df, "J01AA07", verbose = TRUE)
#> Auto-guessing columns suitable for analysis
#> ...
#> OK.
#> ℹ Using column 'amox' as input for AMX (amoxicillin).
#> ℹ Using column 'tetr' as input for TCY (tetracycline).
#> ℹ Using column 'tetr' as input for J01AA07 (tetracycline).
#> [1] "tetr"
# NOTE: Using column 'tetr' as input for J01AA07 (tetracycline).
# WHONET codes
df <- data.frame(
AMP_ND10 = "R",
AMC_ED20 = "S"
)
guess_ab_col(df, "ampicillin")
#> [1] "AMP_ND10"
guess_ab_col(df, "J01CR02")
#> [1] "AMC_ED20"
guess_ab_col(df, as.ab("augmentin"))
#> [1] "AMC_ED20"