From c3f2517428338162788ed71cc5bc29d9c3302867 Mon Sep 17 00:00:00 2001 From: github-actions <41898282+github-actions[bot]@users.noreply.github.com> Date: Thu, 16 Jan 2025 11:03:29 +0000 Subject: [PATCH] Built site for AMR@2.1.1.9123: 1697ad3 --- articles/AMR.html | 8 ++++---- articles/AMR_with_tidymodels.html | 2 +- articles/datasets.html | 2 +- pkgdown.yml | 2 +- reference/age.html | 20 ++++++++++---------- reference/as.sir.html | 20 ++++++++++---------- search.json | 2 +- 7 files changed, 28 insertions(+), 28 deletions(-) diff --git a/articles/AMR.html b/articles/AMR.html index 7a736cdbb..2a70d9ac7 100644 --- a/articles/AMR.html +++ b/articles/AMR.html @@ -88,7 +88,7 @@ website update since they are based on randomly created values and the page was written in R Markdown. However, the methodology remains unchanged. This page was -generated on 15 January 2025.

+generated on 16 January 2025.

Introduction

@@ -144,21 +144,21 @@ make the structure of your data generally look like this:

-2025-01-15 +2025-01-16 abcd Escherichia coli S S -2025-01-15 +2025-01-16 abcd Escherichia coli S R -2025-01-15 +2025-01-16 efgh Escherichia coli R diff --git a/articles/AMR_with_tidymodels.html b/articles/AMR_with_tidymodels.html index fd50d1c2b..8b908e97d 100644 --- a/articles/AMR_with_tidymodels.html +++ b/articles/AMR_with_tidymodels.html @@ -140,7 +140,7 @@ package.

#> dplyr::filter() masks stats::filter() #> dplyr::lag() masks stats::lag() #> recipes::step() masks stats::step() -#> Dig deeper into tidy modeling with R at https://www.tmwr.org +#> Learn how to get started at https://www.tidymodels.org/start/ library(AMR) # For AMR data analysis # Load the example_isolates dataset diff --git a/articles/datasets.html b/articles/datasets.html index 349cdd6c2..85c4ef985 100644 --- a/articles/datasets.html +++ b/articles/datasets.html @@ -77,7 +77,7 @@