# ==================================================================== #
# TITLE #
# Creating 'ggplot2' Plots With Less Code #
# #
# AUTHORS #
# Berends MS (m.s.berends@umcg.nl) #
# #
# LICENCE #
# This R package is free software; you can redistribute it and/or #
# modify it under the terms of the GNU General Public License #
# version 2.0, as published by the Free Software Foundation. #
# This R package is distributed in the hope that it will be useful, #
# but WITHOUT ANY WARRANTY; without even the implied warranty of #
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
# GNU General Public License version 2.0 for more details. #
# ==================================================================== #
library(dplyr)
library(AMR)
admitted_patients <- example_isolates %>%
group_by(patient_id) %>%
filter(n() == 1) %>%
ungroup() %>%
transmute(date,
gender,
age,
age_group = age_groups(age),
hospital = hospital_id,
ward = ifelse(ward_icu, "ICU", "Non-ICU")) %>%
slice_sample(n = 250) %>%
arrange(date)
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