For language-dependent output of AMR functions, like mo_name()
, mo_gramstain()
, mo_type()
and ab_name()
.
get_locale()
Strings will be translated to foreign languages if they are defined in a local translation file. Additions to this file can be suggested at our repository. The file can be found here: https://github.com/msberends/AMR/blob/master/data-raw/translations.tsv. This file will be read by all functions where a translated output can be desired, like all mo_property()
functions (mo_name()
, mo_gramstain()
, mo_type()
, etc.) and ab_property()
functions (ab_name()
, ab_group()
etc.).
Currently supported languages are: Dutch, English, French, German, Italian, Portuguese, Spanish. Please note that currently not all these languages have translations available for all antimicrobial agents and colloquial microorganism names.
Please suggest your own translations by creating a new issue on our repository.
The system language will be used at default (as returned by Sys.getenv("LANG")
or, if LANG
is not set, Sys.getlocale()
), if that language is supported. But the language to be used can be overwritten in two ways and will be checked in this order:
Setting the R option AMR_locale
, e.g. by running options(AMR_locale = "de")
Setting the system variable LANGUAGE
or LANG
, e.g. by adding LANGUAGE="de_DE.utf8"
to your .Renviron
file in your home directory
So if the R option AMR_locale
is set, the system variables LANGUAGE
and LANG
will be ignored.
The lifecycle of this function is stable. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.
If the unlying code needs breaking changes, they will occur gradually. For example, a parameter will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.
On our website https://msberends.github.io/AMR you can find a comprehensive 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. As we would like to better understand the backgrounds and needs of our users, please participate in our survey!
# The 'language' parameter of below functions # will be set automatically to your system language # with get_locale() # English mo_name("CoNS", language = "en") #> "Coagulase-negative Staphylococcus (CoNS)" # German mo_name("CoNS", language = "de") #> "Koagulase-negative Staphylococcus (KNS)" # Dutch mo_name("CoNS", language = "nl") #> "Coagulase-negatieve Staphylococcus (CNS)" # Spanish mo_name("CoNS", language = "es") #> "Staphylococcus coagulasa negativo (SCN)" # Italian mo_name("CoNS", language = "it") #> "Staphylococcus negativo coagulasi (CoNS)" # Portuguese mo_name("CoNS", language = "pt") #> "Staphylococcus coagulase negativo (CoNS)"