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(v1.4.0.9029) grey background for backticks, like readr pkg

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dr. M.S. (Matthijs) Berends 2020-12-01 16:59:57 +01:00
parent 00447c6dc4
commit 4c114ff4b4
25 changed files with 49 additions and 40 deletions
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4
DESCRIPTION
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@ -1,6 +1,6 @@
Package: AMR Package: AMR
Version: 1.4.0.9027 Version: 1.4.0.9029
Date: 2020-11-25 Date: 2020-12-01
Title: Antimicrobial Resistance Analysis Title: Antimicrobial Resistance Analysis
Authors@R: c( Authors@R: c(
person(role = c("aut", "cre"), person(role = c("aut", "cre"),

6
NEWS.md
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@ -1,5 +1,5 @@
# AMR 1.4.0.9027 # AMR 1.4.0.9029
## <small>Last updated: 25 November 2020</small> ## <small>Last updated: 1 December 2020</small>
### New ### New
* Function `is_new_episode()` to determine patient episodes which are not necessarily based on microorganisms. It also supports grouped variables with e.g. `mutate()`, `filter()` and `summarise()` of the `dplyr` package: * Function `is_new_episode()` to determine patient episodes which are not necessarily based on microorganisms. It also supports grouped variables with e.g. `mutate()`, `filter()` and `summarise()` of the `dplyr` package:
@ -8,7 +8,7 @@
group_by(patient_id, hospital_id) %>% group_by(patient_id, hospital_id) %>%
filter(is_new_episode(date, episode_days = 60)) filter(is_new_episode(date, episode_days = 60))
``` ```
* Functions `mo_is_gram_negative()` and `mo_is_gram_positive()` as wrappers around `mo_gramstain()`. They always return `TRUE` or `FALSE` (except when the input is `NA` or the MO code is `UNKNOWN`), thus always return `FALSE` for species outside the taxonomic kingdom of Bacteria. If you have the `dplyr` package installed, they can even determine the column with microorganisms themselves when used inside `dplyr` verbs: * Functions `mo_is_gram_negative()` and `mo_is_gram_positive()` as wrappers around `mo_gramstain()`. They always return `TRUE` or `FALSE` (except when the input is `NA` or the MO code is `UNKNOWN`), thus always return `FALSE` for species outside the taxonomic kingdom of Bacteria. They can even determine the column with microorganisms themselves when used inside `dplyr` verbs:
```r ```r
example_isolates %>% example_isolates %>%
filter(mo_is_gram_positive()) filter(mo_is_gram_positive())

9
R/aa_helper_functions.R
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@ -296,6 +296,10 @@ word_wrap <- function(...,
# place back spaces # place back spaces
msg <- gsub("*|*", "\n", msg, fixed = TRUE) msg <- gsub("*|*", "\n", msg, fixed = TRUE)
# format backticks
msg <- gsub("(`.+?`)", font_grey_bg("\\1"), msg)
msg msg
} }
@ -467,7 +471,7 @@ meet_criteria <- function(object,
stop_if(any(dim(object) == 0), stop_if(any(dim(object) == 0),
"the data provided in argument `", obj_name, "the data provided in argument `", obj_name,
"` must contain rows and columns (current dimensions: ", "` must contain rows and columns (current dimensions: ",
paste(dim(object), collapse = " x "), ")", paste(dim(object), collapse = "x"), ")",
call = call_depth) call = call_depth)
} }
} }
@ -606,6 +610,9 @@ font_subtle <- function(..., collapse = " ") {
font_grey <- function(..., collapse = " ") { font_grey <- function(..., collapse = " ") {
try_colour(..., before = "\033[38;5;249m", after = "\033[39m", collapse = collapse) try_colour(..., before = "\033[38;5;249m", after = "\033[39m", collapse = collapse)
} }
font_grey_bg <- function(..., collapse = " ") {
try_colour(..., before = "\033[48;5;253m", after = "\033[49m", collapse = collapse)
}
font_green_bg <- function(..., collapse = " ") { font_green_bg <- function(..., collapse = " ") {
try_colour(..., before = "\033[42m", after = "\033[49m", collapse = collapse) try_colour(..., before = "\033[42m", after = "\033[49m", collapse = collapse)
} }

2
docs/404.html
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@ -81,7 +81,7 @@
</button> </button>
<span class="navbar-brand"> <span class="navbar-brand">
<a class="navbar-link" href="https://msberends.github.io/AMR//index.html">AMR (for R)</a> <a class="navbar-link" href="https://msberends.github.io/AMR//index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9027</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>

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docs/LICENSE-text.html
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@ -81,7 +81,7 @@
</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">1.4.0.9027</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>

2
docs/articles/index.html
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@ -81,7 +81,7 @@
</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">1.4.0.9027</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>

2
docs/authors.html
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@ -81,7 +81,7 @@
</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">1.4.0.9027</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>

2
docs/index.html
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@ -43,7 +43,7 @@
</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">1.4.0.9027</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>

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docs/news/index.html
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@ -81,7 +81,7 @@
</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">1.4.0.9027</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>
@ -236,13 +236,13 @@
<small>Source: <a href='https://github.com/msberends/AMR/blob/master/NEWS.md'><code>NEWS.md</code></a></small> <small>Source: <a href='https://github.com/msberends/AMR/blob/master/NEWS.md'><code>NEWS.md</code></a></small>
</div> </div>
<div id="amr-1409027" class="section level1"> <div id="amr-1409029" class="section level1">
<h1 class="page-header" data-toc-text="1.4.0.9027"> <h1 class="page-header" data-toc-text="1.4.0.9029">
<a href="#amr-1409027" class="anchor"></a>AMR 1.4.0.9027<small> Unreleased </small> <a href="#amr-1409029" class="anchor"></a>AMR 1.4.0.9029<small> Unreleased </small>
</h1> </h1>
<div id="last-updated-25-november-2020" class="section level2"> <div id="last-updated-1-december-2020" class="section level2">
<h2 class="hasAnchor"> <h2 class="hasAnchor">
<a href="#last-updated-25-november-2020" class="anchor"></a><small>Last updated: 25 November 2020</small> <a href="#last-updated-1-december-2020" class="anchor"></a><small>Last updated: 1 December 2020</small>
</h2> </h2>
<div id="new" class="section level3"> <div id="new" class="section level3">
<h3 class="hasAnchor"> <h3 class="hasAnchor">
@ -252,21 +252,21 @@
<p>Function <code><a href="../reference/is_new_episode.html">is_new_episode()</a></code> to determine patient episodes which are not necessarily based on microorganisms. It also supports grouped variables with e.g. <code><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate()</a></code>, <code><a href="https://dplyr.tidyverse.org/reference/filter.html">filter()</a></code> and <code><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarise()</a></code> of the <code>dplyr</code> package:</p> <p>Function <code><a href="../reference/is_new_episode.html">is_new_episode()</a></code> to determine patient episodes which are not necessarily based on microorganisms. It also supports grouped variables with e.g. <code><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate()</a></code>, <code><a href="https://dplyr.tidyverse.org/reference/filter.html">filter()</a></code> and <code><a href="https://dplyr.tidyverse.org/reference/summarise.html">summarise()</a></code> of the <code>dplyr</code> package:</p>
<div class="sourceCode" id="cb1"><pre class="downlit"> <div class="sourceCode" id="cb1"><pre class="downlit">
<span class="va">example_isolates</span> <span class="op">%&gt;%</span> <span class="va">example_isolates</span> <span class="op">%&gt;%</span>
<span class="fu">group_by</span><span class="op">(</span><span class="va">patient_id</span>, <span class="va">hospital_id</span><span class="op">)</span> <span class="op">%&gt;%</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span><span class="op">(</span><span class="va">patient_id</span>, <span class="va">hospital_id</span><span class="op">)</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/r/stats/filter.html">filter</a></span><span class="op">(</span><span class="fu"><a href="../reference/is_new_episode.html">is_new_episode</a></span><span class="op">(</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">60</span><span class="op">)</span><span class="op">)</span></pre></div> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html">filter</a></span><span class="op">(</span><span class="fu"><a href="../reference/is_new_episode.html">is_new_episode</a></span><span class="op">(</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">60</span><span class="op">)</span><span class="op">)</span></pre></div>
</li> </li>
<li> <li>
<p>Functions <code><a href="../reference/mo_property.html">mo_is_gram_negative()</a></code> and <code><a href="../reference/mo_property.html">mo_is_gram_positive()</a></code> as wrappers around <code><a href="../reference/mo_property.html">mo_gramstain()</a></code>. They always return <code>TRUE</code> or <code>FALSE</code> (except when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>), thus always return <code>FALSE</code> for species outside the taxonomic kingdom of Bacteria. If you have the <code>dplyr</code> package installed, they can even determine the column with microorganisms themselves when used inside <code>dplyr</code> verbs:</p> <p>Functions <code><a href="../reference/mo_property.html">mo_is_gram_negative()</a></code> and <code><a href="../reference/mo_property.html">mo_is_gram_positive()</a></code> as wrappers around <code><a href="../reference/mo_property.html">mo_gramstain()</a></code>. They always return <code>TRUE</code> or <code>FALSE</code> (except when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>), thus always return <code>FALSE</code> for species outside the taxonomic kingdom of Bacteria. They can even determine the column with microorganisms themselves when used inside <code>dplyr</code> verbs:</p>
<div class="sourceCode" id="cb2"><pre class="downlit"> <div class="sourceCode" id="cb2"><pre class="downlit">
<span class="va">example_isolates</span> <span class="op">%&gt;%</span> <span class="va">example_isolates</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/r/stats/filter.html">filter</a></span><span class="op">(</span><span class="fu"><a href="../reference/mo_property.html">mo_is_gram_positive</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html">filter</a></span><span class="op">(</span><span class="fu"><a href="../reference/mo_property.html">mo_is_gram_positive</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span>
<span class="co">#&gt; NOTE: Using column `mo` as input for mo_is_gram_positive()</span></pre></div> <span class="co">#&gt; NOTE: Using column `mo` as input for mo_is_gram_positive()</span></pre></div>
</li> </li>
<li> <li>
<p>Function <code><a href="../reference/mo_property.html">mo_is_intrinsic_resistant()</a></code> to test for intrinsic resistance, based on <a href="https://www.eucast.org/expert_rules_and_intrinsic_resistance/">EUCAST Intrinsic Resistance and Unusual Phenotypes v3.2</a> from 2020. As with the new <code>mo_is_gram_*()</code> functions, if you have the <code>dplyr</code> package installed the column with microorganisms will be automatically determined when used inside <code>dplyr</code> verbs:</p> <p>Function <code><a href="../reference/mo_property.html">mo_is_intrinsic_resistant()</a></code> to test for intrinsic resistance, based on <a href="https://www.eucast.org/expert_rules_and_intrinsic_resistance/">EUCAST Intrinsic Resistance and Unusual Phenotypes v3.2</a> from 2020. As with the new <code>mo_is_gram_*()</code> functions, if you have the <code>dplyr</code> package installed the column with microorganisms will be automatically determined when used inside <code>dplyr</code> verbs:</p>
<div class="sourceCode" id="cb3"><pre class="downlit"> <div class="sourceCode" id="cb3"><pre class="downlit">
<span class="va">example_isolates</span> <span class="op">%&gt;%</span> <span class="va">example_isolates</span> <span class="op">%&gt;%</span>
<span class="fu"><a href="https://rdrr.io/r/stats/filter.html">filter</a></span><span class="op">(</span><span class="fu"><a href="../reference/mo_property.html">mo_is_intrinsic_resistant</a></span><span class="op">(</span>ab <span class="op">=</span> <span class="st">"Vancomycin"</span><span class="op">)</span><span class="op">)</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html">filter</a></span><span class="op">(</span><span class="fu"><a href="../reference/mo_property.html">mo_is_intrinsic_resistant</a></span><span class="op">(</span>ab <span class="op">=</span> <span class="st">"Vancomycin"</span><span class="op">)</span><span class="op">)</span>
<span class="co">#&gt; NOTE: Using column `mo` as input for mo_is_intrinsic_resistant()</span></pre></div> <span class="co">#&gt; NOTE: Using column `mo` as input for mo_is_intrinsic_resistant()</span></pre></div>
</li> </li>
</ul> </ul>

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pandoc: 2.7.3 pandoc: 2.9.2.1
pkgdown: 1.6.1 pkgdown: 1.6.1
pkgdown_sha: ~ pkgdown_sha: ~
articles: articles:
@ -12,7 +12,7 @@ articles:
datasets: datasets.html datasets: datasets.html
resistance_predict: resistance_predict.html resistance_predict: resistance_predict.html
welcome_to_AMR: welcome_to_AMR.html welcome_to_AMR: welcome_to_AMR.html
last_built: 2020-11-25T11:09Z last_built: 2020-12-01T15:59Z
urls: urls:
reference: https://msberends.github.io/AMR//reference reference: https://msberends.github.io/AMR//reference
article: https://msberends.github.io/AMR//articles article: https://msberends.github.io/AMR//articles

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docs/reference/age_groups.html
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</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">1.4.0.9023</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>

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</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">1.4.0.9021</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>

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docs/reference/as.disk.html
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@ -82,7 +82,7 @@
</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">1.4.0.9023</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>

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docs/reference/as.mo.html
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@ -82,7 +82,7 @@
</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">1.4.0.9021</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>

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</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">1.4.0.9020</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>

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docs/reference/first_isolate.html
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@ -82,7 +82,7 @@
</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">1.4.0.9026</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>
@ -370,13 +370,14 @@
<p>All isolates with a microbial ID of <code>NA</code> will be excluded as first isolate.</p><h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Why this is so important</h3> <p>All isolates with a microbial ID of <code>NA</code> will be excluded as first isolate.</p><h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Why this is so important</h3>
<p>To conduct an analysis of antimicrobial resistance, you should only include the first isolate of every patient per episode <a href='https:/pubmed.ncbi.nlm.nih.gov/17304462/'>(ref)</a>. If you would not do this, you could easily get an overestimate or underestimate of the resistance of an antibiotic. Imagine that a patient was admitted with an MRSA and that it was found in 5 different blood cultures the following week. The resistance percentage of oxacillin of all <em>S. aureus</em> isolates would be overestimated, because you included this MRSA more than once. It would be <a href='https://en.wikipedia.org/wiki/Selection_bias'>selection bias</a>.</p> <p>To conduct an analysis of antimicrobial resistance, you should only include the first isolate of every patient per episode <a href='https://pubmed.ncbi.nlm.nih.gov/17304462/'>(Hindler <em>et al.</em> 2007)</a>. If you would not do this, you could easily get an overestimate or underestimate of the resistance of an antibiotic. Imagine that a patient was admitted with an MRSA and that it was found in 5 different blood cultures the following week. The resistance percentage of oxacillin of all <em>S. aureus</em> isolates would be overestimated, because you included this MRSA more than once. It would be <a href='https://en.wikipedia.org/wiki/Selection_bias'>selection bias</a>.</p>
<h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a><code>filter_*()</code> shortcuts</h3> <h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a><code>filter_*()</code> shortcuts</h3>
<p>The functions <code>filter_first_isolate()</code> and <code>filter_first_weighted_isolate()</code> are helper functions to quickly filter on first isolates.</p> <p>The functions <code>filter_first_isolate()</code> and <code>filter_first_weighted_isolate()</code> are helper functions to quickly filter on first isolates.</p>
<p>The function <code>filter_first_isolate()</code> is essentially equal to either:</p><pre> <span class='va'>x</span><span class='op'>[</span><span class='fu'>first_isolate</span><span class='op'>(</span><span class='va'>x</span>, <span class='va'>...</span><span class='op'>)</span>, <span class='op'>]</span> <p>The function <code>filter_first_isolate()</code> is essentially equal to either:</p><pre> <span class='va'>x</span><span class='op'>[</span><span class='fu'>first_isolate</span><span class='op'>(</span><span class='va'>x</span>, <span class='va'>...</span><span class='op'>)</span>, <span class='op'>]</span>
<span class='va'>x</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span><span class='op'>(</span><span class='fu'>first_isolate</span><span class='op'>(</span><span class='va'>x</span>, <span class='va'>...</span><span class='op'>)</span><span class='op'>)</span> <span class='va'>x</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span><span class='op'>(</span><span class='fu'>first_isolate</span><span class='op'>(</span><span class='va'>x</span>, <span class='va'>...</span><span class='op'>)</span><span class='op'>)</span>
</pre> </pre>

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</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">1.4.0.9026</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
</div> </div>

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</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">1.4.0.9027</span> <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9029</span>
</span> </span>
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docs/reference/intrinsic_resistant.html
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@ -82,7 +82,7 @@
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<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
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2
docs/reference/is_new_episode.html
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@ -82,7 +82,7 @@
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<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>
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docs/reference/like.html
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@ -82,7 +82,7 @@
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<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>
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docs/reference/mo_matching_score.html
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@ -82,7 +82,7 @@
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docs/reference/mo_property.html
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@ -82,7 +82,7 @@
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<a class="navbar-link" href="../index.html">AMR (for R)</a> <a class="navbar-link" href="../index.html">AMR (for R)</a>
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docs/survey.html
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@ -81,7 +81,7 @@
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man/first_isolate.Rd
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@ -98,7 +98,7 @@ The \code{\link[=first_isolate]{first_isolate()}} function is a wrapper around t
All isolates with a microbial ID of \code{NA} will be excluded as first isolate. All isolates with a microbial ID of \code{NA} will be excluded as first isolate.
\subsection{Why this is so important}{ \subsection{Why this is so important}{
To conduct an analysis of antimicrobial resistance, you should only include the first isolate of every patient per episode \href{https:/pubmed.ncbi.nlm.nih.gov/17304462/}{(ref)}. If you would not do this, you could easily get an overestimate or underestimate of the resistance of an antibiotic. Imagine that a patient was admitted with an MRSA and that it was found in 5 different blood cultures the following week. The resistance percentage of oxacillin of all \emph{S. aureus} isolates would be overestimated, because you included this MRSA more than once. It would be \href{https://en.wikipedia.org/wiki/Selection_bias}{selection bias}. To conduct an analysis of antimicrobial resistance, you should only include the first isolate of every patient per episode \href{https://pubmed.ncbi.nlm.nih.gov/17304462/}{(Hindler \emph{et al.} 2007)}. If you would not do this, you could easily get an overestimate or underestimate of the resistance of an antibiotic. Imagine that a patient was admitted with an MRSA and that it was found in 5 different blood cultures the following week. The resistance percentage of oxacillin of all \emph{S. aureus} isolates would be overestimated, because you included this MRSA more than once. It would be \href{https://en.wikipedia.org/wiki/Selection_bias}{selection bias}.
} }
\subsection{\verb{filter_*()} shortcuts}{ \subsection{\verb{filter_*()} shortcuts}{
@ -106,6 +106,7 @@ To conduct an analysis of antimicrobial resistance, you should only include the
The functions \code{\link[=filter_first_isolate]{filter_first_isolate()}} and \code{\link[=filter_first_weighted_isolate]{filter_first_weighted_isolate()}} are helper functions to quickly filter on first isolates. The functions \code{\link[=filter_first_isolate]{filter_first_isolate()}} and \code{\link[=filter_first_weighted_isolate]{filter_first_weighted_isolate()}} are helper functions to quickly filter on first isolates.
The function \code{\link[=filter_first_isolate]{filter_first_isolate()}} is essentially equal to either:\preformatted{ x[first_isolate(x, ...), ] The function \code{\link[=filter_first_isolate]{filter_first_isolate()}} is essentially equal to either:\preformatted{ x[first_isolate(x, ...), ]
x \%>\% filter(first_isolate(x, ...)) x \%>\% filter(first_isolate(x, ...))
} }