clean_antibiotics: Clean Antibiotics using Fuzzy Matching with AMR Packages's...
In MIMER: Data Wrangling for Antimicrobial Resistance Studies
View source: R/clean_antibiotics.R
clean_antibiotics R Documentation
Clean Antibiotics using Fuzzy Matching with AMR Packages's Antibiotics Data.
Description
This utility helps to identify and clean-up antibiotics names passed to it.
Also helps to identify whether a medicine is antibiotic or not
Usage
clean_antibiotics(x , ...)
Arguments
x
character vector or a dataframe containing medicine details
...
column name with drug details (required only if first parameter is a dataframe)
Value
Character Vector or Data Frame
Examples
clean_antibiotics(c("Amoxicilin","Amoxicillin","Paracetamol"))
df <- data.frame(medicine = c("Amoxicilin","Amoxicillin","Paracetamol"))
clean_antibiotics(df,drug_col=medicine)
MIMER documentation built on June 22, 2024, 9:41 a.m.
R Package Documentation
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View source: R/clean_antibiotics.R
| clean_antibiotics | R Documentation |
Clean Antibiotics using Fuzzy Matching with AMR Packages's Antibiotics Data.
Description
This utility helps to identify and clean-up antibiotics names passed to it. Also helps to identify whether a medicine is antibiotic or not
Usage
clean_antibiotics(x , ...)
Arguments
x |
character vector or a dataframe containing medicine details |
... |
column name with drug details (required only if first parameter is a dataframe) |
Value
Character Vector or Data Frame
Examples
clean_antibiotics(c("Amoxicilin","Amoxicillin","Paracetamol"))
df <- data.frame(medicine = c("Amoxicilin","Amoxicillin","Paracetamol"))
clean_antibiotics(df,drug_col=medicine)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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