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dr. M.S. (Matthijs) Berends 2019-08-09 23:55:44 +02:00
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.gitignore vendored
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@ -21,3 +21,5 @@ vignettes/*.R
packrat/lib*/ packrat/lib*/
packrat/src/ packrat/src/
cran-comments.md cran-comments.md
data-raw/taxon.tab
data-raw/DSMZ_bactnames.xlsx

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DESCRIPTION
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@ -1,5 +1,5 @@
Package: AMR Package: AMR
Version: 0.7.1.9032 Version: 0.7.1.9034
Date: 2019-08-09 Date: 2019-08-09
Title: Antimicrobial Resistance Analysis Title: Antimicrobial Resistance Analysis
Authors@R: c( Authors@R: c(

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NEWS.md
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@ -1,4 +1,4 @@
# AMR 0.7.1.9032 # AMR 0.7.1.9034
### Breaking ### Breaking
* Function `freq()` has moved to a new package, [`clean`](https://github.com/msberends/clean) ([CRAN link](https://cran.r-project.org/package=clean)). Creating frequency tables is actually not the scope of this package (never was) and this function has matured a lot over the last two years. Therefore, a new package was created for data cleaning and checking and it perfectly fits the `freq()` function. The [`clean`](https://github.com/msberends/clean) package is available on CRAN and will be installed automatically when updating the `AMR` package, that now imports it. In a later stage, the `skewness()` and `kurtosis()` functions will be moved to the `clean` package too. * Function `freq()` has moved to a new package, [`clean`](https://github.com/msberends/clean) ([CRAN link](https://cran.r-project.org/package=clean)). Creating frequency tables is actually not the scope of this package (never was) and this function has matured a lot over the last two years. Therefore, a new package was created for data cleaning and checking and it perfectly fits the `freq()` function. The [`clean`](https://github.com/msberends/clean) package is available on CRAN and will be installed automatically when updating the `AMR` package, that now imports it. In a later stage, the `skewness()` and `kurtosis()` functions will be moved to the `clean` package too.
@ -60,7 +60,8 @@
* Some misspelled input were not understood * Some misspelled input were not understood
* These new trivial names known to the field are now understood: meningococcus, gonococcus, pneumococcus * These new trivial names known to the field are now understood: meningococcus, gonococcus, pneumococcus
* Added support for unknown yeasts and fungi * Added support for unknown yeasts and fungi
* Added the newest taxonomic data from the IJSEM journal (now up to date until August 2019) * Updated the `microorganisms` data set to contain the latest taxonomic data from the IJSEM journal (now up to date until August 2019)
* Added almost 5,000 new fungi to the `microorganisms` data set
* Fix for using `mo_*` functions where the coercion uncertainties and failures would not be available through `mo_uncertainties()` and `mo_failures()` anymore * Fix for using `mo_*` functions where the coercion uncertainties and failures would not be available through `mo_uncertainties()` and `mo_failures()` anymore
* Deprecated the `country` parameter of `mdro()` in favour of the already existing `guideline` parameter to support multiple guidelines within one country * Deprecated the `country` parameter of `mdro()` in favour of the already existing `guideline` parameter to support multiple guidelines within one country
* The `name` of `RIF` is now Rifampicin instead of Rifampin * The `name` of `RIF` is now Rifampicin instead of Rifampin

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R/catalogue_of_life.R
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@ -30,10 +30,10 @@
#' @section Included taxa: #' @section Included taxa:
#' Included are: #' Included are:
#' \itemize{ #' \itemize{
#' \item{All ~55,000 (sub)species from the kingdoms of Archaea, Bacteria and Protozoa} #' \item{All ~61,000 (sub)species from the kingdoms of Archaea, Bacteria, Chromista and Protozoa}
#' \item{All ~3,500 (sub)species from these orders of the kingdom of Fungi: Eurotiales, Onygenales, Pneumocystales, Saccharomycetales, Schizosaccharomycetales and Tremellales. The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package and including everything would tremendously slow down our algorithms too. By only including the aforementioned taxonomic orders, the most relevant fungi are covered (like all species of \emph{Aspergillus}, \emph{Candida}, \emph{Cryptococcus}, \emph{Histplasma}, \emph{Pneumocystis}, \emph{Saccharomyces} and \emph{Trichophyton}).} #' \item{All ~8,500 (sub)species from these orders of the kingdom of Fungi: Eurotiales, Microascales, Mucorales, Onygenales, Pneumocystales, Saccharomycetales, Schizosaccharomycetales and Tremellales. The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package and including everything would tremendously slow down our algorithms too. By only including the aforementioned taxonomic orders, the most relevant fungi are covered (like all species of \emph{Aspergillus}, \emph{Candida}, \emph{Cryptococcus}, \emph{Histplasma}, \emph{Pneumocystis}, \emph{Saccharomyces} and \emph{Trichophyton}).}
#' \item{All ~2,000 (sub)species from ~100 other relevant genera, from the kingdoms of Animalia and Plantae (like \emph{Strongyloides} and \emph{Taenia})} #' \item{All ~150 (sub)species from ~100 other relevant genera from the kingdom of Animalia (like \emph{Strongyloides} and \emph{Taenia})}
#' \item{All ~21,000 previously accepted names of included (sub)species that have been taxonomically renamed} #' \item{All ~23,000 previously accepted names of all included (sub)species (these were taxonomically renamed)}
#' \item{The complete taxonomic tree of all included (sub)species: from kingdom to subspecies} #' \item{The complete taxonomic tree of all included (sub)species: from kingdom to subspecies}
#' \item{The responsible author(s) and year of scientific publication} #' \item{The responsible author(s) and year of scientific publication}
#' } #' }

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R/data.R
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@ -51,11 +51,11 @@
#' @seealso \code{\link{microorganisms}} #' @seealso \code{\link{microorganisms}}
"antibiotics" "antibiotics"
#' Data set with ~65,000 microorganisms #' Data set with ~70,000 microorganisms
#' #'
#' A data set containing the microbial taxonomy of six kingdoms from the Catalogue of Life. MO codes can be looked up using \code{\link{as.mo}}. #' A data set containing the microbial taxonomy of six kingdoms from the Catalogue of Life. MO codes can be looked up using \code{\link{as.mo}}.
#' @inheritSection catalogue_of_life Catalogue of Life #' @inheritSection catalogue_of_life Catalogue of Life
#' @format A \code{\link{data.frame}} with 68,260 observations and 16 variables: #' @format A \code{\link{data.frame}} with 69,854 observations and 16 variables:
#' \describe{ #' \describe{
#' \item{\code{mo}}{ID of microorganism as used by this package} #' \item{\code{mo}}{ID of microorganism as used by this package}
#' \item{\code{col_id}}{Catalogue of Life ID} #' \item{\code{col_id}}{Catalogue of Life ID}
@ -98,7 +98,7 @@ catalogue_of_life <- list(
#' #'
#' A data set containing old (previously valid or accepted) taxonomic names according to the Catalogue of Life. This data set is used internally by \code{\link{as.mo}}. #' A data set containing old (previously valid or accepted) taxonomic names according to the Catalogue of Life. This data set is used internally by \code{\link{as.mo}}.
#' @inheritSection catalogue_of_life Catalogue of Life #' @inheritSection catalogue_of_life Catalogue of Life
#' @format A \code{\link{data.frame}} with 21,743 observations and 4 variables: #' @format A \code{\link{data.frame}} with 22,932 observations and 4 variables:
#' \describe{ #' \describe{
#' \item{\code{col_id}}{Catalogue of Life ID that was originally given} #' \item{\code{col_id}}{Catalogue of Life ID that was originally given}
#' \item{\code{col_id_new}}{New Catalogue of Life ID that responds to an entry in the \code{\link{microorganisms}} data set} #' \item{\code{col_id_new}}{New Catalogue of Life ID that responds to an entry in the \code{\link{microorganisms}} data set}
@ -113,7 +113,7 @@ catalogue_of_life <- list(
#' Translation table for microorganism codes #' Translation table for microorganism codes
#' #'
#' A data set containing commonly used codes for microorganisms, from laboratory systems and WHONET. Define your own with \code{\link{set_mo_source}}. #' A data set containing commonly used codes for microorganisms, from laboratory systems and WHONET. Define your own with \code{\link{set_mo_source}}.
#' @format A \code{\link{data.frame}} with 4,969 observations and 2 variables: #' @format A \code{\link{data.frame}} with 4,965 observations and 2 variables:
#' \describe{ #' \describe{
#' \item{\code{certe}}{Commonly used code of a microorganism} #' \item{\code{certe}}{Commonly used code of a microorganism}
#' \item{\code{mo}}{ID of the microorganism in the \code{\link{microorganisms}} data set} #' \item{\code{mo}}{ID of the microorganism in the \code{\link{microorganisms}} data set}

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R/ggplot_rsi.R
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@ -182,8 +182,8 @@ ggplot_rsi <- function(data,
title = NULL, title = NULL,
subtitle = NULL, subtitle = NULL,
caption = NULL, caption = NULL,
x.title = NULL, x.title = "Antimicrobial",
y.title = NULL, y.title = "Proportion",
...) { ...) {
stopifnot_installed_package("ggplot2") stopifnot_installed_package("ggplot2")

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data-raw/reproduction_of_microorganisms.R
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@ -11,10 +11,10 @@ library(dplyr)
library(AMR) library(AMR)
# unzip and extract taxon.tab (around 1.5 GB) from the CoL archive, then: # unzip and extract taxon.tab (around 1.5 GB) from the CoL archive, then:
data_col <- data.table::fread("Downloads/taxon.tab") data_col <- data.table::fread("data-raw/taxon.tab")
# read the xlsx file from DSMZ (only around 2.5 MB): # read the xlsx file from DSMZ (only around 2.5 MB):
data_dsmz <- readxl::read_xlsx("Downloads/DSMZ_bactnames.xlsx") data_dsmz <- readxl::read_xlsx("data-raw/DSMZ_bactnames.xlsx")
# the CoL data is over 3.7M rows: # the CoL data is over 3.7M rows:
data_col %>% freq(kingdom) data_col %>% freq(kingdom)
@ -99,23 +99,25 @@ MOs <- data_total %>%
# and not all fungi: Aspergillus, Candida, Trichphyton and Pneumocystis are the most important, # and not all fungi: Aspergillus, Candida, Trichphyton and Pneumocystis are the most important,
# so only keep these orders from the fungi: # so only keep these orders from the fungi:
& !(kingdom == "Fungi" & !(kingdom == "Fungi"
& !order %in% c("Eurotiales", "Mucorales", "Saccharomycetales", "Schizosaccharomycetales", "Tremellales", "Onygenales", "Pneumocystales")) & !order %in% c("Eurotiales", "Microascales", "Mucorales", "Saccharomycetales", "Schizosaccharomycetales", "Tremellales", "Onygenales", "Pneumocystales"))
) )
# or the genus has to be one of the genera we found in our hospitals last decades (Northern Netherlands, 2002-2018) # or the genus has to be one of the genera we found in our hospitals last decades (Northern Netherlands, 2002-2018)
| genus %in% c("Absidia", "Acremonium", "Actinotignum", "Alternaria", "Anaerosalibacter", "Ancylostoma", "Anisakis", "Apophysomyces", | genus %in% c("Absidia", "Acremonium", "Actinotignum", "Alternaria", "Anaerosalibacter", "Ancylostoma", "Anisakis", "Apophysomyces",
"Arachnia", "Ascaris", "Aureobacterium", "Aureobasidium", "Balantidum", "Bilophilia", "Branhamella", "Brochontrix", "Arachnia", "Ascaris", "Aureobacterium", "Aureobasidium", "Balantidum", "Bilophilia", "Branhamella", "Brochontrix",
"Brugia", "Calymmatobacterium", "Catabacter", "Cdc", "Chilomastix", "Chryseomonas", "Cladophialophora", "Cladosporium", "Brugia", "Calymmatobacterium", "Catabacter", "Cdc", "Chilomastix", "Chryseomonas", "Cladophialophora", "Cladosporium",
"Clonorchis", "Cordylobia", "Curvularia", "Demodex", "Dermatobia", "Diphyllobothrium", "Dracunculus", "Echinococcus", "Clonorchis", "Cordylobia", "Curvularia", "Demodex", "Dermatobia", "Diphyllobothrium", "Dracunculus", "Echinococcus",
"Enterobius", "Euascomycetes", "Exophiala", "Fasciola", "Fusarium", "Hendersonula", "Hymenolepis", "Kloeckera", "Enterobius", "Euascomycetes", "Exophiala", "Fasciola", "Fusarium", "Hendersonula", "Hymenolepis", "Hypomyces", "Kloeckera",
"Koserella", "Larva", "Leishmania", "Lelliottia", "Loa", "Lumbricus", "Malassezia", "Metagonimus", "Molonomonas", "Koserella", "Larva", "Leishmania", "Lelliottia", "Loa", "Lumbricus", "Malassezia", "Metagonimus", "Molonomonas",
"Mucor", "Nattrassia", "Necator", "Novospingobium", "Onchocerca", "Opistorchis", "Paragonimus", "Paramyxovirus", "Mucor", "Nattrassia", "Necator", "Nectria", "Novospingobium", "Onchocerca", "Opistorchis", "Paragonimus", "Paramyxovirus",
"Pediculus", "Phoma", "Phthirus", "Pityrosporum", "Pseudallescheria", "Pulex", "Rhizomucor", "Rhizopus", "Rhodotorula", "Pediculus", "Phoma", "Phthirus", "Pityrosporum", "Pseudallescheria", "Pulex", "Rhizomucor", "Rhizopus", "Rhodotorula",
"Salinococcus", "Sanguibacteroides", "Schistosoma", "Scopulariopsis", "Scytalidium", "Sporobolomyces", "Stomatococcus", "Salinococcus", "Sanguibacteroides", "Schistosoma", "Scopulariopsis", "Scytalidium", "Sporobolomyces", "Stomatococcus",
"Strongyloides", "Syncephalastraceae", "Taenia", "Torulopsis", "Trichinella", "Trichobilharzia", "Trichomonas", "Strongyloides", "Syncephalastraceae", "Taenia", "Torulopsis", "Trichinella", "Trichobilharzia", "Trichoderma", "Trichomonas",
"Trichosporon", "Trichuris", "Trypanosoma", "Wuchereria") "Trichosporon", "Trichuris", "Trypanosoma", "Wuchereria")
# or the taxonomic entry is old - the species was renamed # or the taxonomic entry is old - the species was renamed
| !is.na(col_id_new) | !is.na(col_id_new)
) ) %>%
# really no Plantae (e.g. Dracunculus exist both as worm and as plant)
filter(kingdom != "Plantae")
# filter old taxonomic names so only the ones with an existing reference will be kept # filter old taxonomic names so only the ones with an existing reference will be kept
MOs <- MOs %>% MOs <- MOs %>%
@ -222,7 +224,7 @@ MOs <- MOs %>%
distinct(fullname, .keep_all = TRUE) distinct(fullname, .keep_all = TRUE)
# what characters are in the fullnames? # what characters are in the fullnames?
paste(unique(sort(unlist(strsplit(x = paste(MOs$fullname, collapse = ""), split = "")))), collapse = "") table(sort(unlist(strsplit(x = paste(MOs$fullname, collapse = ""), split = ""))))
# Add abbreviations so we can easily know which ones are which ones. # Add abbreviations so we can easily know which ones are which ones.
# These will become valid and unique microbial IDs for the AMR package. # These will become valid and unique microbial IDs for the AMR package.
@ -522,12 +524,22 @@ MOs <- MOs %>%
# everything distinct? # everything distinct?
sum(duplicated(MOs$mo)) sum(duplicated(MOs$mo))
sum(duplicated(MOs$fullname))
colnames(MOs) colnames(MOs)
# here we welcome the new ones: # here we welcome the new ones:
MOs %>% filter(!fullname %in% AMR::microorganisms$fullname) %>% View() MOs %>% filter(!fullname %in% AMR::microorganisms$fullname) %>% View()
# and the ones we lost: # and the ones we lost:
AMR::microorganisms %>% filter(!fullname %in% MOs$fullname) %>% View() AMR::microorganisms %>% filter(!fullname %in% MOs$fullname) %>% View()
# and these IDs have changed:
MOs %>%
filter(fullname %in% AMR::microorganisms$fullname) %>%
left_join(AMR::microorganisms %>% select(mo, fullname), by = "fullname", suffix = c("_new", "_old")) %>%
filter(mo_new != mo_old) %>%
select(mo_old, mo_new, everything()) %>%
View()
# and these codes are now missing (which will throw a unit test error):
AMR::microorganisms.codes %>% filter(!mo %in% AMR::microorganisms$mo)
# set prevalence per species # set prevalence per species
MOs <- MOs %>% MOs <- MOs %>%

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docs/LICENSE-text.html
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@ -78,7 +78,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="index.html">AMR (for R)</a> <a class="navbar-link" href="index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9034</span>
</span> </span>
</div> </div>

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docs/articles/index.html
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@ -78,7 +78,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9034</span>
</span> </span>
</div> </div>

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docs/authors.html
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@ -78,7 +78,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="index.html">AMR (for R)</a> <a class="navbar-link" href="index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9034</span>
</span> </span>
</div> </div>

60
docs/index.html
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@ -42,7 +42,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="index.html">AMR (for R)</a> <a class="navbar-link" href="index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9034</span>
</span> </span>
</div> </div>
@ -189,10 +189,23 @@
</h1></div> </h1></div>
<p><em>(<help title="Too Long, Didn't Read">TLDR</help> - to find out how to conduct AMR analysis, please <a href="./articles/AMR.html">continue reading here to get started</a>.</em></p> <p><em>(<help title="Too Long, Didn't Read">TLDR</help> - to find out how to conduct AMR analysis, please <a href="./articles/AMR.html">continue reading here to get started</a>.</em></p>
<hr> <hr>
<p><code>AMR</code> is a free and open-source <a href="https://www.r-project.org">R package</a> to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods. It supports any data format, including WHONET/EARS-Net data.</p> <div id="what-is-amr-for-r" class="section level3">
<p>After installing this package, R knows <a href="./reference/microorganisms.html"><strong>~65,000 microorganisms</strong></a> and <a href="./reference/antibiotics.html"><strong>~450 antibiotics</strong></a> by name and code, and knows all about valid RSI and MIC values.</p> <h3 class="hasAnchor">
<p><strong>Used to SPSS?</strong> Read our <a href="./articles/SPSS.html">tutorial on how to import data from SPSS, SAS or Stata</a> and learn in which ways R outclasses any of these statistical packages.</p> <a href="#what-is-amr-for-r" class="anchor"></a>What is <code>AMR</code> (for R)?</h3>
<p>We created this package for both academic research and routine analysis at the Faculty of Medical Sciences of the University of Groningen, the Netherlands, and the Medical Microbiology &amp; Infection Prevention (MMBI) department of the University Medical Center Groningen (UMCG). This R package is actively maintained and is free software; you can freely use and distribute it for both personal and commercial (but <strong>not</strong> patent) purposes under the terms of the GNU General Public License version 2.0 (GPL-2), as published by the Free Software Foundation. Read the full license <a href="./LICENSE-text.html">here</a>.</p> <p><code>AMR</code> is a free and open-source <a href="https://www.r-project.org">R package</a> to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods. Since its first public release in early 2018, this package has been downloaded over 20,000 times from more than 40 countries <small>(source: <a href="https://cran-logs.rstudio.com">CRAN logs, 2019</a>)</small>.</p>
<p>After installing this package, R knows <a href="./reference/microorganisms.html"><strong>~70,000 microorganisms</strong></a> (distinct microbial species) and <a href="./reference/antibiotics.html"><strong>~450 antibiotics</strong></a> by name and code, and knows all about valid RSI and MIC values. It supports any data format, including WHONET/EARS-Net data.</p>
<p>We created this package for both academic research and routine analysis at the Faculty of Medical Sciences of the University of Groningen, the Netherlands, and the Medical Microbiology &amp; Infection Prevention (MMBI) department of the University Medical Center Groningen (UMCG). This R package is <a href="./news">actively maintained</a> and is free software; you can freely use and distribute it for both personal and commercial (but <strong>not</strong> patent) purposes under the terms of the GNU General Public License version 2.0 (GPL-2), as published by the Free Software Foundation. Read the full license <a href="./LICENSE-text.html">here</a>.</p>
<p><strong>Used to SPSS?</strong> Read our <a href="./articles/SPSS.html">tutorial on how to import data from SPSS, SAS or Stata</a>.</p>
<div id="partners" class="section level4">
<h4 class="hasAnchor">
<a href="#partners" class="anchor"></a>Partners</h4>
<p>The development of this package is part of, related to, or made possible by:</p>
<p><a href="https://www.rug.nl"><img src="./logo_rug.png" class="partner_logo"></a> <a href="https://www.umcg.nl"><img src="./logo_umcg.png" class="partner_logo"></a> <a href="https://www.certe.nl"><img src="./logo_certe.png" class="partner_logo"></a> <a href="http://www.eurhealth-1health.eu"><img src="./logo_eh1h.png" class="partner_logo"></a> <a href="http://www.eurhealth-1health.eu"><img src="./logo_interreg.png" class="partner_logo"></a></p>
</div>
</div>
<div id="what-can-you-do-with-this-package" class="section level3">
<h3 class="hasAnchor">
<a href="#what-can-you-do-with-this-package" class="anchor"></a>What can you do with this package?</h3>
<p>This package can be used for:</p> <p>This package can be used for:</p>
<ul> <ul>
<li>Reference for the taxonomy of microorganisms, since the package contains all microbial (sub)species from the <a href="http://www.catalogueoflife.org">Catalogue of Life</a> (<a href="./reference/mo_property.html">manual</a>)</li> <li>Reference for the taxonomy of microorganisms, since the package contains all microbial (sub)species from the <a href="http://www.catalogueoflife.org">Catalogue of Life</a> (<a href="./reference/mo_property.html">manual</a>)</li>
@ -203,7 +216,7 @@
<li>Calculating (empirical) susceptibility of both mono therapy and combination therapies (<a href="./articles/AMR.html">tutorial</a>)</li> <li>Calculating (empirical) susceptibility of both mono therapy and combination therapies (<a href="./articles/AMR.html">tutorial</a>)</li>
<li>Predicting future antimicrobial resistance using regression models (<a href="./articles/resistance_predict.html">tutorial</a>)</li> <li>Predicting future antimicrobial resistance using regression models (<a href="./articles/resistance_predict.html">tutorial</a>)</li>
<li>Getting properties for any microorganism (like Gram stain, species, genus or family) (<a href="./reference/mo_property.html">manual</a>)</li> <li>Getting properties for any microorganism (like Gram stain, species, genus or family) (<a href="./reference/mo_property.html">manual</a>)</li>
<li>Getting properties for any antibiotic (like name, ATC code, defined daily dose or trade name) (<a href="./reference/ab_property.html">manual</a>)</li> <li>Getting properties for any antibiotic (like name, EARS-Net code, ATC code, PubChem code, defined daily dose or trade name) (<a href="./reference/ab_property.html">manual</a>)</li>
<li>Plotting antimicrobial resistance (<a href="./articles/AMR.html">tutorial</a>)</li> <li>Plotting antimicrobial resistance (<a href="./articles/AMR.html">tutorial</a>)</li>
<li>Applying EUCAST expert rules (<a href="./reference/eucast_rules.html">manual</a>)</li> <li>Applying EUCAST expert rules (<a href="./reference/eucast_rules.html">manual</a>)</li>
</ul> </ul>
@ -233,9 +246,10 @@
<li>Software developers</li> <li>Software developers</li>
<li>Web application / Shiny developers</li> <li>Web application / Shiny developers</li>
</ul> </ul>
<div id="get-this-package" class="section level2"> </div>
<h2 class="hasAnchor"> <div id="get-this-package" class="section level3">
<a href="#get-this-package" class="anchor"></a>Get this package</h2> <h3 class="hasAnchor">
<a href="#get-this-package" class="anchor"></a>Get this package</h3>
<div id="latest-released-version" class="section level4"> <div id="latest-released-version" class="section level4">
<h4 class="hasAnchor"> <h4 class="hasAnchor">
<a href="#latest-released-version" class="anchor"></a>Latest released version</h4> <a href="#latest-released-version" class="anchor"></a>Latest released version</h4>
@ -252,14 +266,14 @@
<a class="sourceLine" id="cb2-2" data-line-number="2">devtools<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/devtools/topics/reexports">install_gitlab</a></span>(<span class="st">"msberends/AMR"</span>)</a></code></pre></div> <a class="sourceLine" id="cb2-2" data-line-number="2">devtools<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/devtools/topics/reexports">install_gitlab</a></span>(<span class="st">"msberends/AMR"</span>)</a></code></pre></div>
</div> </div>
</div> </div>
<div id="get-started" class="section level2"> <div id="get-started" class="section level3">
<h2 class="hasAnchor"> <h3 class="hasAnchor">
<a href="#get-started" class="anchor"></a>Get started</h2> <a href="#get-started" class="anchor"></a>Get started</h3>
<p>To find out how to conduct AMR analysis, please <a href="./articles/AMR.html">continue reading here to get started</a> or click the links in the ‘How to’ menu.</p> <p>To find out how to conduct AMR analysis, please <a href="./articles/AMR.html">continue reading here to get started</a> or click the links in the ‘How to’ menu.</p>
</div> </div>
<div id="short-introduction" class="section level2"> <div id="short-introduction" class="section level3">
<h2 class="hasAnchor"> <h3 class="hasAnchor">
<a href="#short-introduction" class="anchor"></a>Short introduction</h2> <a href="#short-introduction" class="anchor"></a>Short introduction</h3>
<div id="microbial-taxonomic-reference-data" class="section level4"> <div id="microbial-taxonomic-reference-data" class="section level4">
<h4 class="hasAnchor"> <h4 class="hasAnchor">
<a href="#microbial-taxonomic-reference-data" class="anchor"></a>Microbial (taxonomic) reference data</h4> <a href="#microbial-taxonomic-reference-data" class="anchor"></a>Microbial (taxonomic) reference data</h4>
@ -267,13 +281,13 @@
<p>This package contains the complete taxonomic tree of almost all microorganisms from the authoritative and comprehensive Catalogue of Life (<a href="http://www.catalogueoflife.org">www.catalogueoflife.org</a>).</p> <p>This package contains the complete taxonomic tree of almost all microorganisms from the authoritative and comprehensive Catalogue of Life (<a href="http://www.catalogueoflife.org">www.catalogueoflife.org</a>).</p>
<p>Included are:</p> <p>Included are:</p>
<ul> <ul>
<li><p>All ~55,000 (sub)species from the kingdoms of Archaea, Bacteria and Protozoa</p></li> <li><p>All ~61,000 (sub)species from the kingdoms of Archaea, Bacteria, Chromista and Protozoa</p></li>
<li> <li>
<p>All ~3,500 (sub)species from these orders of the kingdom of Fungi: Eurotiales, Onygenales, Pneumocystales, Saccharomycetales, Schizosaccharomycetales and Tremellales.</p> <p>All ~8,500 (sub)species from these orders of the kingdom of Fungi: Eurotiales, Microascales, Mucorales, Onygenales, Pneumocystales, Saccharomycetales, Schizosaccharomycetales and Tremellales.</p>
<p>The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package and including everything would tremendously slow down our algorithms too. By only including the aforementioned taxonomic orders, the most relevant fungi are covered (like all species of <em>Aspergillus</em>, <em>Candida</em>, <em>Cryptococcus</em>, <em>Histoplasma</em>, <em>Pneumocystis</em>, <em>Saccharomyces</em> and <em>Trichophyton</em>).</p> <p>The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package and including everything would tremendously slow down our algorithms too. By only including the aforementioned taxonomic orders, the most relevant fungi are covered (like all species of <em>Aspergillus</em>, <em>Candida</em>, <em>Cryptococcus</em>, <em>Histoplasma</em>, <em>Pneumocystis</em>, <em>Saccharomyces</em> and <em>Trichophyton</em>).</p>
</li> </li>
<li><p>All ~2,000 (sub)species from ~100 other relevant genera, from the kingdoms of Animalia and Plantae (like <em>Strongyloides</em> and <em>Taenia</em>)</p></li> <li><p>All ~150 (sub)species from ~100 other relevant genera from the kingdom of Animalia (like <em>Strongyloides</em> and <em>Taenia</em>)</p></li>
<li><p>All ~21,000 previously accepted names of included (sub)species that have been taxonomically renamed</p></li> <li><p>All ~23,000 previously accepted names of all included (sub)species (these were taxonomically renamed)</p></li>
<li><p>The responsible author(s) and year of scientific publication</p></li> <li><p>The responsible author(s) and year of scientific publication</p></li>
</ul> </ul>
<p>This data is updated annually - check the included version with <code><a href="reference/catalogue_of_life_version.html">catalogue_of_life_version()</a></code>.</p> <p>This data is updated annually - check the included version with <code><a href="reference/catalogue_of_life_version.html">catalogue_of_life_version()</a></code>.</p>
@ -322,7 +336,7 @@
</ul> </ul>
</li> </li>
<li>Use <code><a href="reference/mdro.html">mdro()</a></code> (abbreviation of Multi Drug Resistant Organisms) to check your isolates for exceptional resistance with country-specific guidelines or EUCAST rules. Currently, national guidelines for Germany and the Netherlands are supported.</li> <li>Use <code><a href="reference/mdro.html">mdro()</a></code> (abbreviation of Multi Drug Resistant Organisms) to check your isolates for exceptional resistance with country-specific guidelines or EUCAST rules. Currently, national guidelines for Germany and the Netherlands are supported.</li>
<li>The <a href="./reference/microorganisms.html">data set <code>microorganisms</code></a> contains the complete taxonomic tree of ~65,000 microorganisms. Furthermore, some colloquial names and all Gram stains are available, which enables resistance analysis of e.g. different antibiotics per Gram stain. The package also contains functions to look up values in this data set like <code><a href="reference/mo_property.html">mo_genus()</a></code>, <code><a href="reference/mo_property.html">mo_family()</a></code>, <code><a href="reference/mo_property.html">mo_gramstain()</a></code> or even <code><a href="reference/mo_property.html">mo_phylum()</a></code>. As they use <code><a href="reference/as.mo.html">as.mo()</a></code> internally, they also use the same intelligent rules for determination. For example, <code><a href="reference/mo_property.html">mo_genus("MRSA")</a></code> and <code><a href="reference/mo_property.html">mo_genus("S. aureus")</a></code> will both return <code>"Staphylococcus"</code>. They also come with support for German, Dutch, Spanish, Italian, French and Portuguese. These functions can be used to add new variables to your data.</li> <li>The <a href="./reference/microorganisms.html">data set <code>microorganisms</code></a> contains the complete taxonomic tree of ~70,000 microorganisms. Furthermore, some colloquial names and all Gram stains are available, which enables resistance analysis of e.g. different antibiotics per Gram stain. The package also contains functions to look up values in this data set like <code><a href="reference/mo_property.html">mo_genus()</a></code>, <code><a href="reference/mo_property.html">mo_family()</a></code>, <code><a href="reference/mo_property.html">mo_gramstain()</a></code> or even <code><a href="reference/mo_property.html">mo_phylum()</a></code>. As they use <code><a href="reference/as.mo.html">as.mo()</a></code> internally, they also use the same intelligent rules for determination. For example, <code><a href="reference/mo_property.html">mo_genus("MRSA")</a></code> and <code><a href="reference/mo_property.html">mo_genus("S. aureus")</a></code> will both return <code>"Staphylococcus"</code>. They also come with support for German, Dutch, Spanish, Italian, French and Portuguese. These functions can be used to add new variables to your data.</li>
<li>The <a href="./reference/antibiotics.html">data set <code>antibiotics</code></a> contains ~450 antimicrobial drugs with their EARS-Net code, ATC code, PubChem compound ID, official name, common LIS codes and DDDs of both oral and parenteral administration. It also contains all (thousands of) trade names found in PubChem. The function <code><a href="reference/ab_property.html">ab_atc()</a></code> will return the ATC code of an antibiotic as defined by the WHO. Use functions like <code><a href="reference/ab_property.html">ab_name()</a></code>, <code><a href="reference/ab_property.html">ab_group()</a></code> and <code><a href="reference/ab_property.html">ab_tradenames()</a></code> to look up values. The <code>ab_*</code> functions use <code><a href="reference/as.ab.html">as.ab()</a></code> internally so they support the same intelligent rules to guess the most probable result. For example, <code><a href="reference/ab_property.html">ab_name("Fluclox")</a></code>, <code><a href="reference/ab_property.html">ab_name("Floxapen")</a></code> and <code><a href="reference/ab_property.html">ab_name("J01CF05")</a></code> will all return <code>"Flucloxacillin"</code>. These functions can again be used to add new variables to your data.</li> <li>The <a href="./reference/antibiotics.html">data set <code>antibiotics</code></a> contains ~450 antimicrobial drugs with their EARS-Net code, ATC code, PubChem compound ID, official name, common LIS codes and DDDs of both oral and parenteral administration. It also contains all (thousands of) trade names found in PubChem. The function <code><a href="reference/ab_property.html">ab_atc()</a></code> will return the ATC code of an antibiotic as defined by the WHO. Use functions like <code><a href="reference/ab_property.html">ab_name()</a></code>, <code><a href="reference/ab_property.html">ab_group()</a></code> and <code><a href="reference/ab_property.html">ab_tradenames()</a></code> to look up values. The <code>ab_*</code> functions use <code><a href="reference/as.ab.html">as.ab()</a></code> internally so they support the same intelligent rules to guess the most probable result. For example, <code><a href="reference/ab_property.html">ab_name("Fluclox")</a></code>, <code><a href="reference/ab_property.html">ab_name("Floxapen")</a></code> and <code><a href="reference/ab_property.html">ab_name("J01CF05")</a></code> will all return <code>"Flucloxacillin"</code>. These functions can again be used to add new variables to your data.</li>
</ul> </ul>
</li> </li>
@ -354,12 +368,6 @@
</li> </li>
</ol> </ol>
</div> </div>
<div id="partners" class="section level4">
<h4 class="hasAnchor">
<a href="#partners" class="anchor"></a>Partners</h4>
<p>The development of this package is part of, related to, or made possible by:</p>
<p><a href="https://www.rug.nl"><img src="./logo_rug.png" class="partner_logo"></a> <a href="https://www.umcg.nl"><img src="./logo_umcg.png" class="partner_logo"></a> <a href="https://www.certe.nl"><img src="./logo_certe.png" class="partner_logo"></a> <a href="http://www.eurhealth-1health.eu"><img src="./logo_eh1h.png" class="partner_logo"></a> <a href="http://www.eurhealth-1health.eu"><img src="./logo_interreg.png" class="partner_logo"></a></p>
</div>
</div> </div>
</div> </div>
</div> </div>

11
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@ -78,7 +78,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9034</span>
</span> </span>
</div> </div>
@ -225,9 +225,9 @@
</div> </div>
<div id="amr-0-7-1-9032" class="section level1"> <div id="amr-0-7-1-9034" class="section level1">
<h1 class="page-header"> <h1 class="page-header">
<a href="#amr-0-7-1-9032" class="anchor"></a>AMR 0.7.1.9032<small> Unreleased </small> <a href="#amr-0-7-1-9034" class="anchor"></a>AMR 0.7.1.9034<small> Unreleased </small>
</h1> </h1>
<div id="breaking" class="section level3"> <div id="breaking" class="section level3">
<h3 class="hasAnchor"> <h3 class="hasAnchor">
@ -307,7 +307,8 @@
<li>Added support for unknown yeasts and fungi</li> <li>Added support for unknown yeasts and fungi</li>
</ul> </ul>
</li> </li>
<li>Added the newest taxonomic data from the IJSEM journal (now up to date until August 2019)</li> <li>Updated the <code>microorganisms</code> data set to contain the latest taxonomic data from the IJSEM journal (now up to date until August 2019)</li>
<li>Added almost 5,000 new fungi to the <code>microorganisms</code> data set</li>
<li>Fix for using <code>mo_*</code> functions where the coercion uncertainties and failures would not be available through <code><a href="../reference/as.mo.html">mo_uncertainties()</a></code> and <code><a href="../reference/as.mo.html">mo_failures()</a></code> anymore</li> <li>Fix for using <code>mo_*</code> functions where the coercion uncertainties and failures would not be available through <code><a href="../reference/as.mo.html">mo_uncertainties()</a></code> and <code><a href="../reference/as.mo.html">mo_failures()</a></code> anymore</li>
<li>Deprecated the <code>country</code> parameter of <code><a href="../reference/mdro.html">mdro()</a></code> in favour of the already existing <code>guideline</code> parameter to support multiple guidelines within one country</li> <li>Deprecated the <code>country</code> parameter of <code><a href="../reference/mdro.html">mdro()</a></code> in favour of the already existing <code>guideline</code> parameter to support multiple guidelines within one country</li>
<li>The <code>name</code> of <code>RIF</code> is now Rifampicin instead of Rifampin</li> <li>The <code>name</code> of <code>RIF</code> is now Rifampicin instead of Rifampin</li>
@ -1232,7 +1233,7 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
<div id="tocnav"> <div id="tocnav">
<h2>Contents</h2> <h2>Contents</h2>
<ul class="nav nav-pills nav-stacked"> <ul class="nav nav-pills nav-stacked">
<li><a href="#amr-0-7-1-9032">0.7.1.9032</a></li> <li><a href="#amr-0-7-1-9034">0.7.1.9034</a></li>
<li><a href="#amr-0-7-1">0.7.1</a></li> <li><a href="#amr-0-7-1">0.7.1</a></li>
<li><a href="#amr-0-7-0">0.7.0</a></li> <li><a href="#amr-0-7-0">0.7.0</a></li>
<li><a href="#amr-0-6-1">0.6.1</a></li> <li><a href="#amr-0-6-1">0.6.1</a></li>

2
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@ -80,7 +80,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9033</span>
</span> </span>
</div> </div>

2
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@ -80,7 +80,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9033</span>
</span> </span>
</div> </div>

2
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@ -80,7 +80,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9033</span>
</span> </span>
</div> </div>

10
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@ -80,7 +80,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9029</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9033</span>
</span> </span>
</div> </div>
@ -246,10 +246,10 @@ This package contains the complete taxonomic tree of almost all microorganisms (
<p>Included are:</p><ul> <p>Included are:</p><ul>
<li><p>All ~55,000 (sub)species from the kingdoms of Archaea, Bacteria and Protozoa</p></li> <li><p>All ~61,000 (sub)species from the kingdoms of Archaea, Bacteria, Chromista and Protozoa</p></li>
<li><p>All ~3,500 (sub)species from these orders of the kingdom of Fungi: Eurotiales, Onygenales, Pneumocystales, Saccharomycetales, Schizosaccharomycetales and Tremellales. The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package and including everything would tremendously slow down our algorithms too. By only including the aforementioned taxonomic orders, the most relevant fungi are covered (like all species of <em>Aspergillus</em>, <em>Candida</em>, <em>Cryptococcus</em>, <em>Histplasma</em>, <em>Pneumocystis</em>, <em>Saccharomyces</em> and <em>Trichophyton</em>).</p></li> <li><p>All ~8,500 (sub)species from these orders of the kingdom of Fungi: Eurotiales, Microascales, Mucorales, Onygenales, Pneumocystales, Saccharomycetales, Schizosaccharomycetales and Tremellales. The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package and including everything would tremendously slow down our algorithms too. By only including the aforementioned taxonomic orders, the most relevant fungi are covered (like all species of <em>Aspergillus</em>, <em>Candida</em>, <em>Cryptococcus</em>, <em>Histplasma</em>, <em>Pneumocystis</em>, <em>Saccharomyces</em> and <em>Trichophyton</em>).</p></li>
<li><p>All ~2,000 (sub)species from ~100 other relevant genera, from the kingdoms of Animalia and Plantae (like <em>Strongyloides</em> and <em>Taenia</em>)</p></li> <li><p>All ~150 (sub)species from ~100 other relevant genera from the kingdom of Animalia (like <em>Strongyloides</em> and <em>Taenia</em>)</p></li>
<li><p>All ~21,000 previously accepted names of included (sub)species that have been taxonomically renamed</p></li> <li><p>All ~23,000 previously accepted names of all included (sub)species (these were taxonomically renamed)</p></li>
<li><p>The complete taxonomic tree of all included (sub)species: from kingdom to subspecies</p></li> <li><p>The complete taxonomic tree of all included (sub)species: from kingdom to subspecies</p></li>
<li><p>The responsible author(s) and year of scientific publication</p></li> <li><p>The responsible author(s) and year of scientific publication</p></li>
</ul> </ul>

2
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@ -80,7 +80,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9033</span>
</span> </span>
</div> </div>

5
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@ -80,7 +80,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9029</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9033</span>
</span> </span>
</div> </div>
@ -241,7 +241,8 @@
<span class='kw'>colours</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='kw'>S</span> <span class='kw'>=</span> <span class='st'>"#61a8ff"</span>, <span class='kw'>SI</span> <span class='kw'>=</span> <span class='st'>"#61a8ff"</span>, <span class='kw'>I</span> <span class='kw'>=</span> <span class='st'>"#61f7ff"</span>, <span class='kw'>IR</span> <span class='kw'>=</span> <span class='kw'>colours</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='kw'>S</span> <span class='kw'>=</span> <span class='st'>"#61a8ff"</span>, <span class='kw'>SI</span> <span class='kw'>=</span> <span class='st'>"#61a8ff"</span>, <span class='kw'>I</span> <span class='kw'>=</span> <span class='st'>"#61f7ff"</span>, <span class='kw'>IR</span> <span class='kw'>=</span>
<span class='st'>"#ff6961"</span>, <span class='kw'>R</span> <span class='kw'>=</span> <span class='st'>"#ff6961"</span>), <span class='kw'>datalabels</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>datalabels.size</span> <span class='kw'>=</span> <span class='fl'>2.5</span>, <span class='st'>"#ff6961"</span>, <span class='kw'>R</span> <span class='kw'>=</span> <span class='st'>"#ff6961"</span>), <span class='kw'>datalabels</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>datalabels.size</span> <span class='kw'>=</span> <span class='fl'>2.5</span>,
<span class='kw'>datalabels.colour</span> <span class='kw'>=</span> <span class='st'>"gray15"</span>, <span class='kw'>title</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>subtitle</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>datalabels.colour</span> <span class='kw'>=</span> <span class='st'>"gray15"</span>, <span class='kw'>title</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>subtitle</span> <span class='kw'>=</span> <span class='kw'>NULL</span>,
<span class='kw'>caption</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>x.title</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>y.title</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='no'>...</span>) <span class='kw'>caption</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>x.title</span> <span class='kw'>=</span> <span class='st'>"Antimicrobial"</span>, <span class='kw'>y.title</span> <span class='kw'>=</span> <span class='st'>"Proportion"</span>,
<span class='no'>...</span>)
<span class='fu'>geom_rsi</span>(<span class='kw'>position</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>x</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"antibiotic"</span>, <span class='st'>"interpretation"</span>), <span class='fu'>geom_rsi</span>(<span class='kw'>position</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>x</span> <span class='kw'>=</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/c'>c</a></span>(<span class='st'>"antibiotic"</span>, <span class='st'>"interpretation"</span>),
<span class='kw'>fill</span> <span class='kw'>=</span> <span class='st'>"interpretation"</span>, <span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"name"</span>, <span class='kw'>fill</span> <span class='kw'>=</span> <span class='st'>"interpretation"</span>, <span class='kw'>translate_ab</span> <span class='kw'>=</span> <span class='st'>"name"</span>,

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@ -80,7 +80,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9033</span>
</span> </span>
</div> </div>

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@ -78,7 +78,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9034</span>
</span> </span>
</div> </div>
@ -480,7 +480,7 @@
<td> <td>
<p><code><a href="microorganisms.html">microorganisms</a></code> </p> <p><code><a href="microorganisms.html">microorganisms</a></code> </p>
</td> </td>
<td><p>Data set with ~65,000 microorganisms</p></td> <td><p>Data set with ~70,000 microorganisms</p></td>
</tr><tr> </tr><tr>
<td> <td>

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@ -80,7 +80,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9033</span>
</span> </span>
</div> </div>

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@ -80,7 +80,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9029</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9034</span>
</span> </span>
</div> </div>
@ -238,7 +238,7 @@
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2> <h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
<p>A <code><a href='https://www.rdocumentation.org/packages/base/topics/data.frame'>data.frame</a></code> with 4,969 observations and 2 variables:</p><dl class='dl-horizontal'> <p>A <code><a href='https://www.rdocumentation.org/packages/base/topics/data.frame'>data.frame</a></code> with 4,965 observations and 2 variables:</p><dl class='dl-horizontal'>
<dt><code>certe</code></dt><dd><p>Commonly used code of a microorganism</p></dd> <dt><code>certe</code></dt><dd><p>Commonly used code of a microorganism</p></dd>
<dt><code>mo</code></dt><dd><p>ID of the microorganism in the <code><a href='microorganisms.html'>microorganisms</a></code> data set</p></dd> <dt><code>mo</code></dt><dd><p>ID of the microorganism in the <code><a href='microorganisms.html'>microorganisms</a></code> data set</p></dd>
</dl> </dl>

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@ -6,7 +6,7 @@
<meta http-equiv="X-UA-Compatible" content="IE=edge"> <meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Data set with ~65,000 microorganisms — microorganisms • AMR (for R)</title> <title>Data set with ~70,000 microorganisms — microorganisms • AMR (for R)</title>
<!-- favicons --> <!-- favicons -->
<link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"> <link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
@ -45,7 +45,7 @@
<link href="../extra.css" rel="stylesheet"> <link href="../extra.css" rel="stylesheet">
<script src="../extra.js"></script> <script src="../extra.js"></script>
<meta property="og:title" content="Data set with ~65,000 microorganisms — microorganisms" /> <meta property="og:title" content="Data set with ~70,000 microorganisms — microorganisms" />
<meta property="og:description" content="A data set containing the microbial taxonomy of six kingdoms from the Catalogue of Life. MO codes can be looked up using as.mo." /> <meta property="og:description" content="A data set containing the microbial taxonomy of six kingdoms from the Catalogue of Life. MO codes can be looked up using as.mo." />
@ -80,7 +80,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9029</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9033</span>
</span> </span>
</div> </div>
@ -223,7 +223,7 @@
<div class="row"> <div class="row">
<div class="col-md-9 contents"> <div class="col-md-9 contents">
<div class="page-header"> <div class="page-header">
<h1>Data set with ~65,000 microorganisms</h1> <h1>Data set with ~70,000 microorganisms</h1>
<div class="hidden name"><code>microorganisms.Rd</code></div> <div class="hidden name"><code>microorganisms.Rd</code></div>
</div> </div>
@ -238,7 +238,7 @@
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2> <h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
<p>A <code><a href='https://www.rdocumentation.org/packages/base/topics/data.frame'>data.frame</a></code> with 68,260 observations and 16 variables:</p><dl class='dl-horizontal'> <p>A <code><a href='https://www.rdocumentation.org/packages/base/topics/data.frame'>data.frame</a></code> with 69,854 observations and 16 variables:</p><dl class='dl-horizontal'>
<dt><code>mo</code></dt><dd><p>ID of microorganism as used by this package</p></dd> <dt><code>mo</code></dt><dd><p>ID of microorganism as used by this package</p></dd>
<dt><code>col_id</code></dt><dd><p>Catalogue of Life ID</p></dd> <dt><code>col_id</code></dt><dd><p>Catalogue of Life ID</p></dd>
<dt><code>fullname</code></dt><dd><p>Full name, like <code>"Escherichia coli"</code></p></dd> <dt><code>fullname</code></dt><dd><p>Full name, like <code>"Escherichia coli"</code></p></dd>

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@ -80,7 +80,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9029</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9033</span>
</span> </span>
</div> </div>
@ -238,7 +238,7 @@
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2> <h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
<p>A <code><a href='https://www.rdocumentation.org/packages/base/topics/data.frame'>data.frame</a></code> with 21,743 observations and 4 variables:</p><dl class='dl-horizontal'> <p>A <code><a href='https://www.rdocumentation.org/packages/base/topics/data.frame'>data.frame</a></code> with 22,932 observations and 4 variables:</p><dl class='dl-horizontal'>
<dt><code>col_id</code></dt><dd><p>Catalogue of Life ID that was originally given</p></dd> <dt><code>col_id</code></dt><dd><p>Catalogue of Life ID that was originally given</p></dd>
<dt><code>col_id_new</code></dt><dd><p>New Catalogue of Life ID that responds to an entry in the <code><a href='microorganisms.html'>microorganisms</a></code> data set</p></dd> <dt><code>col_id_new</code></dt><dd><p>New Catalogue of Life ID that responds to an entry in the <code><a href='microorganisms.html'>microorganisms</a></code> data set</p></dd>
<dt><code>fullname</code></dt><dd><p>Old full taxonomic name of the microorganism</p></dd> <dt><code>fullname</code></dt><dd><p>Old full taxonomic name of the microorganism</p></dd>

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@ -80,7 +80,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9032</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9033</span>
</span> </span>
</div> </div>

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@ -4,14 +4,28 @@
---- ----
`AMR` is a free and open-source [R package](https://www.r-project.org) to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods. It supports any data format, including WHONET/EARS-Net data. ### What is `AMR` (for R)?
After installing this package, R knows [**~65,000 microorganisms**](./reference/microorganisms.html) and [**~450 antibiotics**](./reference/antibiotics.html) by name and code, and knows all about valid RSI and MIC values. `AMR` is a free and open-source [R package](https://www.r-project.org) to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods. Since its first public release in early 2018, this package has been downloaded over 20,000 times from more than 40 countries <small>(source: [CRAN logs, 2019](https://cran-logs.rstudio.com))</small>.
**Used to SPSS?** Read our [tutorial on how to import data from SPSS, SAS or Stata](./articles/SPSS.html) and learn in which ways R outclasses any of these statistical packages. After installing this package, R knows [**~70,000 microorganisms**](./reference/microorganisms.html) (distinct microbial species) and [**~450 antibiotics**](./reference/antibiotics.html) by name and code, and knows all about valid RSI and MIC values. It supports any data format, including WHONET/EARS-Net data.
We created this package for both academic research and routine analysis at the Faculty of Medical Sciences of the University of Groningen, the Netherlands, and the Medical Microbiology & Infection Prevention (MMBI) department of the University Medical Center Groningen (UMCG). We created this package for both academic research and routine analysis at the Faculty of Medical Sciences of the University of Groningen, the Netherlands, and the Medical Microbiology & Infection Prevention (MMBI) department of the University Medical Center Groningen (UMCG).
This R package is actively maintained and is free software; you can freely use and distribute it for both personal and commercial (but **not** patent) purposes under the terms of the GNU General Public License version 2.0 (GPL-2), as published by the Free Software Foundation. Read the full license [here](./LICENSE-text.html). This R package is [actively maintained](./news) and is free software; you can freely use and distribute it for both personal and commercial (but **not** patent) purposes under the terms of the GNU General Public License version 2.0 (GPL-2), as published by the Free Software Foundation. Read the full license [here](./LICENSE-text.html).
**Used to SPSS?** Read our [tutorial on how to import data from SPSS, SAS or Stata](./articles/SPSS.html).
#### Partners
The development of this package is part of, related to, or made possible by:
<a href="https://www.rug.nl"><img src="./logo_rug.png" class="partner_logo"></a>
<a href="https://www.umcg.nl"><img src="./logo_umcg.png" class="partner_logo"></a>
<a href="https://www.certe.nl"><img src="./logo_certe.png" class="partner_logo"></a>
<a href="http://www.eurhealth-1health.eu"><img src="./logo_eh1h.png" class="partner_logo"></a>
<a href="http://www.eurhealth-1health.eu"><img src="./logo_interreg.png" class="partner_logo"></a>
### What can you do with this package?
This package can be used for: This package can be used for:
@ -23,7 +37,7 @@ This package can be used for:
* Calculating (empirical) susceptibility of both mono therapy and combination therapies ([tutorial](./articles/AMR.html)) * Calculating (empirical) susceptibility of both mono therapy and combination therapies ([tutorial](./articles/AMR.html))
* Predicting future antimicrobial resistance using regression models ([tutorial](./articles/resistance_predict.html)) * Predicting future antimicrobial resistance using regression models ([tutorial](./articles/resistance_predict.html))
* Getting properties for any microorganism (like Gram stain, species, genus or family) ([manual](./reference/mo_property.html)) * Getting properties for any microorganism (like Gram stain, species, genus or family) ([manual](./reference/mo_property.html))
* Getting properties for any antibiotic (like name, ATC code, defined daily dose or trade name) ([manual](./reference/ab_property.html)) * Getting properties for any antibiotic (like name, EARS-Net code, ATC code, PubChem code, defined daily dose or trade name) ([manual](./reference/ab_property.html))
* Plotting antimicrobial resistance ([tutorial](./articles/AMR.html)) * Plotting antimicrobial resistance ([tutorial](./articles/AMR.html))
* Applying EUCAST expert rules ([manual](./reference/eucast_rules.html)) * Applying EUCAST expert rules ([manual](./reference/eucast_rules.html))
@ -54,7 +68,7 @@ Developers
* Software developers * Software developers
* Web application / Shiny developers * Web application / Shiny developers
## Get this package ### Get this package
#### Latest released version #### Latest released version
@ -76,11 +90,11 @@ install.packages("devtools")
devtools::install_gitlab("msberends/AMR") devtools::install_gitlab("msberends/AMR")
``` ```
## Get started ### Get started
To find out how to conduct AMR analysis, please [continue reading here to get started](./articles/AMR.html) or click the links in the 'How to' menu. To find out how to conduct AMR analysis, please [continue reading here to get started](./articles/AMR.html) or click the links in the 'How to' menu.
## Short introduction ### Short introduction
#### Microbial (taxonomic) reference data #### Microbial (taxonomic) reference data
@ -90,15 +104,15 @@ This package contains the complete taxonomic tree of almost all microorganisms f
Included are: Included are:
* All ~55,000 (sub)species from the kingdoms of Archaea, Bacteria and Protozoa * All ~61,000 (sub)species from the kingdoms of Archaea, Bacteria, Chromista and Protozoa
* All ~3,500 (sub)species from these orders of the kingdom of Fungi: Eurotiales, Onygenales, Pneumocystales, Saccharomycetales, Schizosaccharomycetales and Tremellales. * All ~8,500 (sub)species from these orders of the kingdom of Fungi: Eurotiales, Microascales, Mucorales, Onygenales, Pneumocystales, Saccharomycetales, Schizosaccharomycetales and Tremellales.
The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package and including everything would tremendously slow down our algorithms too. By only including the aforementioned taxonomic orders, the most relevant fungi are covered (like all species of *Aspergillus*, *Candida*, *Cryptococcus*, *Histoplasma*, *Pneumocystis*, *Saccharomyces* and *Trichophyton*). The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package and including everything would tremendously slow down our algorithms too. By only including the aforementioned taxonomic orders, the most relevant fungi are covered (like all species of *Aspergillus*, *Candida*, *Cryptococcus*, *Histoplasma*, *Pneumocystis*, *Saccharomyces* and *Trichophyton*).
* All ~2,000 (sub)species from ~100 other relevant genera, from the kingdoms of Animalia and Plantae (like *Strongyloides* and *Taenia*) * All ~150 (sub)species from ~100 other relevant genera from the kingdom of Animalia (like *Strongyloides* and *Taenia*)
* All ~21,000 previously accepted names of included (sub)species that have been taxonomically renamed * All ~23,000 previously accepted names of all included (sub)species (these were taxonomically renamed)
* The responsible author(s) and year of scientific publication * The responsible author(s) and year of scientific publication
@ -145,7 +159,7 @@ The `AMR` package basically does four important things:
* Use `first_isolate()` to identify the first isolates of every patient [using guidelines from the CLSI](https://clsi.org/standards/products/microbiology/documents/m39/) (Clinical and Laboratory Standards Institute). * Use `first_isolate()` to identify the first isolates of every patient [using guidelines from the CLSI](https://clsi.org/standards/products/microbiology/documents/m39/) (Clinical and Laboratory Standards Institute).
* You can also identify first *weighted* isolates of every patient, an adjusted version of the CLSI guideline. This takes into account key antibiotics of every strain and compares them. * You can also identify first *weighted* isolates of every patient, an adjusted version of the CLSI guideline. This takes into account key antibiotics of every strain and compares them.
* Use `mdro()` (abbreviation of Multi Drug Resistant Organisms) to check your isolates for exceptional resistance with country-specific guidelines or EUCAST rules. Currently, national guidelines for Germany and the Netherlands are supported. * Use `mdro()` (abbreviation of Multi Drug Resistant Organisms) to check your isolates for exceptional resistance with country-specific guidelines or EUCAST rules. Currently, national guidelines for Germany and the Netherlands are supported.
* The [data set `microorganisms`](./reference/microorganisms.html) contains the complete taxonomic tree of ~65,000 microorganisms. Furthermore, some colloquial names and all Gram stains are available, which enables resistance analysis of e.g. different antibiotics per Gram stain. The package also contains functions to look up values in this data set like `mo_genus()`, `mo_family()`, `mo_gramstain()` or even `mo_phylum()`. As they use `as.mo()` internally, they also use the same intelligent rules for determination. For example, `mo_genus("MRSA")` and `mo_genus("S. aureus")` will both return `"Staphylococcus"`. They also come with support for German, Dutch, Spanish, Italian, French and Portuguese. These functions can be used to add new variables to your data. * The [data set `microorganisms`](./reference/microorganisms.html) contains the complete taxonomic tree of ~70,000 microorganisms. Furthermore, some colloquial names and all Gram stains are available, which enables resistance analysis of e.g. different antibiotics per Gram stain. The package also contains functions to look up values in this data set like `mo_genus()`, `mo_family()`, `mo_gramstain()` or even `mo_phylum()`. As they use `as.mo()` internally, they also use the same intelligent rules for determination. For example, `mo_genus("MRSA")` and `mo_genus("S. aureus")` will both return `"Staphylococcus"`. They also come with support for German, Dutch, Spanish, Italian, French and Portuguese. These functions can be used to add new variables to your data.
* The [data set `antibiotics`](./reference/antibiotics.html) contains ~450 antimicrobial drugs with their EARS-Net code, ATC code, PubChem compound ID, official name, common LIS codes and DDDs of both oral and parenteral administration. It also contains all (thousands of) trade names found in PubChem. The function `ab_atc()` will return the ATC code of an antibiotic as defined by the WHO. Use functions like `ab_name()`, `ab_group()` and `ab_tradenames()` to look up values. The `ab_*` functions use `as.ab()` internally so they support the same intelligent rules to guess the most probable result. For example, `ab_name("Fluclox")`, `ab_name("Floxapen")` and `ab_name("J01CF05")` will all return `"Flucloxacillin"`. These functions can again be used to add new variables to your data. * The [data set `antibiotics`](./reference/antibiotics.html) contains ~450 antimicrobial drugs with their EARS-Net code, ATC code, PubChem compound ID, official name, common LIS codes and DDDs of both oral and parenteral administration. It also contains all (thousands of) trade names found in PubChem. The function `ab_atc()` will return the ATC code of an antibiotic as defined by the WHO. Use functions like `ab_name()`, `ab_group()` and `ab_tradenames()` to look up values. The `ab_*` functions use `as.ab()` internally so they support the same intelligent rules to guess the most probable result. For example, `ab_name("Fluclox")`, `ab_name("Floxapen")` and `ab_name("J01CF05")` will all return `"Flucloxacillin"`. These functions can again be used to add new variables to your data.
3. It **analyses the data** with convenient functions that use well-known methods. 3. It **analyses the data** with convenient functions that use well-known methods.
@ -163,14 +177,3 @@ The `AMR` package basically does four important things:
* Results of 40 antibiotics (each antibiotic in its own column) with a total ~40,000 antimicrobial results * Results of 40 antibiotics (each antibiotic in its own column) with a total ~40,000 antimicrobial results
* Real and genuine data * Real and genuine data
* The [`WHONET` data set](./reference/WHONET.html). This data set only contains fake data, but with the exact same structure as files exported by WHONET. Read more about WHONET [on its tutorial page](./articles/WHONET.html). * The [`WHONET` data set](./reference/WHONET.html). This data set only contains fake data, but with the exact same structure as files exported by WHONET. Read more about WHONET [on its tutorial page](./articles/WHONET.html).
#### Partners
The development of this package is part of, related to, or made possible by:
<a href="https://www.rug.nl"><img src="./logo_rug.png" class="partner_logo"></a>
<a href="https://www.umcg.nl"><img src="./logo_umcg.png" class="partner_logo"></a>
<a href="https://www.certe.nl"><img src="./logo_certe.png" class="partner_logo"></a>
<a href="http://www.eurhealth-1health.eu"><img src="./logo_eh1h.png" class="partner_logo"></a>
<a href="http://www.eurhealth-1health.eu"><img src="./logo_interreg.png" class="partner_logo"></a>

8
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@ -18,10 +18,10 @@ This package contains the complete taxonomic tree of almost all microorganisms (
Included are: Included are:
\itemize{ \itemize{
\item{All ~55,000 (sub)species from the kingdoms of Archaea, Bacteria and Protozoa} \item{All ~61,000 (sub)species from the kingdoms of Archaea, Bacteria, Chromista and Protozoa}
\item{All ~3,500 (sub)species from these orders of the kingdom of Fungi: Eurotiales, Onygenales, Pneumocystales, Saccharomycetales, Schizosaccharomycetales and Tremellales. The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package and including everything would tremendously slow down our algorithms too. By only including the aforementioned taxonomic orders, the most relevant fungi are covered (like all species of \emph{Aspergillus}, \emph{Candida}, \emph{Cryptococcus}, \emph{Histplasma}, \emph{Pneumocystis}, \emph{Saccharomyces} and \emph{Trichophyton}).} \item{All ~8,500 (sub)species from these orders of the kingdom of Fungi: Eurotiales, Microascales, Mucorales, Onygenales, Pneumocystales, Saccharomycetales, Schizosaccharomycetales and Tremellales. The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package and including everything would tremendously slow down our algorithms too. By only including the aforementioned taxonomic orders, the most relevant fungi are covered (like all species of \emph{Aspergillus}, \emph{Candida}, \emph{Cryptococcus}, \emph{Histplasma}, \emph{Pneumocystis}, \emph{Saccharomyces} and \emph{Trichophyton}).}
\item{All ~2,000 (sub)species from ~100 other relevant genera, from the kingdoms of Animalia and Plantae (like \emph{Strongyloides} and \emph{Taenia})} \item{All ~150 (sub)species from ~100 other relevant genera from the kingdom of Animalia (like \emph{Strongyloides} and \emph{Taenia})}
\item{All ~21,000 previously accepted names of included (sub)species that have been taxonomically renamed} \item{All ~23,000 previously accepted names of all included (sub)species (these were taxonomically renamed)}
\item{The complete taxonomic tree of all included (sub)species: from kingdom to subspecies} \item{The complete taxonomic tree of all included (sub)species: from kingdom to subspecies}
\item{The responsible author(s) and year of scientific publication} \item{The responsible author(s) and year of scientific publication}
} }

3
man/ggplot_rsi.Rd
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@ -17,7 +17,8 @@ ggplot_rsi(data, position = NULL, x = "antibiotic",
colours = c(S = "#61a8ff", SI = "#61a8ff", I = "#61f7ff", IR = colours = c(S = "#61a8ff", SI = "#61a8ff", I = "#61f7ff", IR =
"#ff6961", R = "#ff6961"), datalabels = TRUE, datalabels.size = 2.5, "#ff6961", R = "#ff6961"), datalabels = TRUE, datalabels.size = 2.5,
datalabels.colour = "gray15", title = NULL, subtitle = NULL, datalabels.colour = "gray15", title = NULL, subtitle = NULL,
caption = NULL, x.title = NULL, y.title = NULL, ...) caption = NULL, x.title = "Antimicrobial", y.title = "Proportion",
...)
geom_rsi(position = NULL, x = c("antibiotic", "interpretation"), geom_rsi(position = NULL, x = c("antibiotic", "interpretation"),
fill = "interpretation", translate_ab = "name", fill = "interpretation", translate_ab = "name",

4
man/microorganisms.Rd
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@ -3,8 +3,8 @@
\docType{data} \docType{data}
\name{microorganisms} \name{microorganisms}
\alias{microorganisms} \alias{microorganisms}
\title{Data set with ~65,000 microorganisms} \title{Data set with ~70,000 microorganisms}
\format{A \code{\link{data.frame}} with 68,260 observations and 16 variables: \format{A \code{\link{data.frame}} with 69,854 observations and 16 variables:
\describe{ \describe{
\item{\code{mo}}{ID of microorganism as used by this package} \item{\code{mo}}{ID of microorganism as used by this package}
\item{\code{col_id}}{Catalogue of Life ID} \item{\code{col_id}}{Catalogue of Life ID}

2
man/microorganisms.codes.Rd
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@ -4,7 +4,7 @@
\name{microorganisms.codes} \name{microorganisms.codes}
\alias{microorganisms.codes} \alias{microorganisms.codes}
\title{Translation table for microorganism codes} \title{Translation table for microorganism codes}
\format{A \code{\link{data.frame}} with 4,969 observations and 2 variables: \format{A \code{\link{data.frame}} with 4,965 observations and 2 variables:
\describe{ \describe{
\item{\code{certe}}{Commonly used code of a microorganism} \item{\code{certe}}{Commonly used code of a microorganism}
\item{\code{mo}}{ID of the microorganism in the \code{\link{microorganisms}} data set} \item{\code{mo}}{ID of the microorganism in the \code{\link{microorganisms}} data set}

2
man/microorganisms.old.Rd
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@ -4,7 +4,7 @@
\name{microorganisms.old} \name{microorganisms.old}
\alias{microorganisms.old} \alias{microorganisms.old}
\title{Data set with previously accepted taxonomic names} \title{Data set with previously accepted taxonomic names}
\format{A \code{\link{data.frame}} with 21,743 observations and 4 variables: \format{A \code{\link{data.frame}} with 22,932 observations and 4 variables:
\describe{ \describe{
\item{\code{col_id}}{Catalogue of Life ID that was originally given} \item{\code{col_id}}{Catalogue of Life ID that was originally given}
\item{\code{col_id_new}}{New Catalogue of Life ID that responds to an entry in the \code{\link{microorganisms}} data set} \item{\code{col_id_new}}{New Catalogue of Life ID that responds to an entry in the \code{\link{microorganisms}} data set}