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dr. M.S. (Matthijs) Berends
53464ff1c8
- Functions `first_isolate`, `EUCAST_rules` and `rsi_predict` supports tidyverse-like evaluation of parameters (no need to quote columns them anymore) - Functions `clipboard_import` and `clipboard_export` as helper functions to quickly copy and paste from/to software like Excel and SPSS - Renamed dataset `bactlist` to `microorganisms`
25 lines
967 B
R
25 lines
967 B
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/data.R
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\docType{data}
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\name{microorganisms.umcg}
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\alias{microorganisms.umcg}
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\title{Translation table for UMCG with ~1100 microorganisms}
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\format{A data.frame with 1090 observations and 2 variables:
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\describe{
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\item{\code{mocode}}{Code of microorganism according to UMCG MMB}
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\item{\code{bactid}}{Code of microorganism in \code{\link{microorganisms}}}
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}}
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\source{
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MOLIS (LIS of Certe) - \url{https://www.certe.nl} \cr \cr GLIMS (LIS of UMCG) - \url{https://www.umcg.nl}
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}
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\usage{
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microorganisms.umcg
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}
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\description{
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A dataset containing all bacteria codes of UMCG MMB. These codes can be joined to data with an ID from \code{\link{microorganisms}$bactid} (using \code{\link{left_join_microorganisms}}). GLIMS codes can also be translated to valid \code{bactid}'s with \code{\link{guess_bactid}}.
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}
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\seealso{
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\code{\link{guess_bactid}} \code{\link{microorganisms}}
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}
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\keyword{datasets}
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