P281424/AMR
1
0
Fork 0
mirror of https://github.com/msberends/AMR.git synced 2025-12-16 08:40:26 +01:00
Code Releases Activity

new MOs, cleanup

Browse Source
This commit is contained in:
dr. M.S. (Matthijs) Berends
2018-09-01 21:19:46 +02:00
parent 5965d3c794
commit 75fe4d401f
20 changed files with 166 additions and 179 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
man/septic_patients.Rd
View File

@@ -3,8 +3,8 @@
\docType{data}
\name{septic_patients}
\alias{septic_patients}
\title{Dataset with 2000 blood culture isolates of septic patients}
\format{A data.frame with 2000 observations and 49 variables:
\title{Data set with 2000 blood culture isolates of septic patients}
\format{A \code{\link{tibble}} with 2,000 observations and 49 variables:
\describe{
\item{\code{date}}{date of receipt at the laboratory}
\item{\code{hospital_id}}{ID of the hospital, from A to D}
@@ -21,20 +21,20 @@
septic_patients
}
\description{
An anonymised dataset containing 2000 microbial blood culture isolates with their full antibiograms found in septic patients in 4 different hospitals in the Netherlands, between 2001 and 2017. It is true, genuine data. This \code{data.frame} can be used to practice AMR analysis. For examples, press F1.
An anonymised data set containing 2,000 microbial blood culture isolates with their full antibiograms found in septic patients in 4 different hospitals in the Netherlands, between 2001 and 2017. It is true, genuine data. This \code{data.frame} can be used to practice AMR analysis. For examples, press F1.
}
\examples{
# ----------- #
# PREPARATION #
# ----------- #
# Save this example dataset to an object, so we can edit it:
# Save this example data set to an object, so we can edit it:
my_data <- septic_patients
# load the dplyr package to make data science A LOT easier
library(dplyr)
# Add first isolates to our dataset:
# Add first isolates to our data set:
my_data <- my_data \%>\%
mutate(first_isolates = first_isolate(my_data, "date", "patient_id", "mo"))