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
xfor, 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 (defaults toFALSE)
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"