guess_ab_col.Rd
This tries to find a column name in a data set based on information from the antibiotics
data set. Also supports WHONET abbreviations.
guess_ab_col(x = NULL, search_string = NULL, verbose = FALSE)
x | a |
---|---|
search_string | a text to search |
verbose | a logical to indicate whether additional info should be printed |
A column name of x
, or NULL
when no result is found.
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. Longer columns names take precendence over shorter column names.
On our website https://msberends.gitlab.io/AMR you can find a tutorial about how to conduct AMR analysis, the complete documentation of all functions (which reads a lot easier than here in R) and an example analysis using WHONET data.
# NOT RUN { 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) # Note: Using column `tetr` as input for "J01AA07". # [1] "tetr" # 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" # Longer names take precendence: df <- data.frame(AMP_ED2 = "S", AMP_ED20 = "S") guess_ab_col(df, "ampicillin") # [1] "AMP_ED20" # }