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big website update, licence txt update

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dr. M.S. (Matthijs) Berends
2019-01-02 23:24:07 +01:00
parent 4255707cb7
commit 6b2d464f8c
190 changed files with 8785 additions and 66176 deletions
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29
R/first_isolate.R
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@ -2,18 +2,21 @@
# TITLE #
# Antimicrobial Resistance (AMR) Analysis #
# #
# AUTHORS #
# Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
# SOURCE #
# https://gitlab.com/msberends/AMR #
# #
# LICENCE #
# This 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. #
# (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
# #
# 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. #
# This R package is free software; you can freely use and distribute #
# it for both personal and commercial purposes under the terms of the #
# GNU General Public License version 2.0 (GNU GPL-2), as published by #
# the Free Software Foundation. #
# #
# This R package was created for academic research and was publicly #
# released in the hope that it will be useful, but it comes WITHOUT #
# ANY WARRANTY OR LIABILITY. #
# Visit our website for more info: https://msberends.gitab.io/AMR. #
# ==================================================================== #
#' Determine first (weighted) isolates
@ -71,6 +74,7 @@
#' @importFrom crayon blue bold silver
#' @return Logical vector
#' @source Methodology of this function is based on: \strong{M39 Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data, 4th Edition}, 2014, \emph{Clinical and Laboratory Standards Institute (CLSI)}. \url{https://clsi.org/standards/products/microbiology/documents/m39/}.
#' @inheritSection AMR Read more on our website!
#' @examples
#' # septic_patients is a dataset available in the AMR package. It is true, genuine data.
#' ?septic_patients
@ -419,12 +423,7 @@ first_isolate <- function(tbl,
& genus == lag(genus)
& species == lag(species),
FALSE,
TRUE)) %>% #,
# days_diff = 0) %>%
# mutate(days_diff = if_else(other_pat_or_mo == FALSE,
# as.integer((date_lab - lag(date_lab)) + lag(days_diff)),
# as.integer(0))) %>%
# mutate(r = days_diff) %>%
TRUE)) %>%
group_by_at(vars(patient_id,
genus,
species)) %>%