2021-05-03 13:06:43 +02:00
|
|
|
# ==================================================================== #
|
|
|
|
# TITLE #
|
2022-10-05 09:12:22 +02:00
|
|
|
# AMR: An R Package for Working with Antimicrobial Resistance Data #
|
2021-05-03 13:06:43 +02:00
|
|
|
# #
|
|
|
|
# SOURCE #
|
|
|
|
# https://github.com/msberends/AMR #
|
|
|
|
# #
|
2022-10-05 09:12:22 +02:00
|
|
|
# CITE AS #
|
|
|
|
# Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C #
|
|
|
|
# (2022). AMR: An R Package for Working with Antimicrobial Resistance #
|
|
|
|
# Data. Journal of Statistical Software, 104(3), 1-31. #
|
|
|
|
# doi:10.18637/jss.v104.i03 #
|
|
|
|
# #
|
2021-05-03 13:06:43 +02:00
|
|
|
# Developed at the University of Groningen, the Netherlands, in #
|
|
|
|
# collaboration with non-profit organisations Certe Medical #
|
2022-08-28 10:31:50 +02:00
|
|
|
# Diagnostics & Advice, and University Medical Center Groningen. #
|
2021-05-03 13:06:43 +02:00
|
|
|
# #
|
|
|
|
# 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. #
|
|
|
|
# We created this package for both routine data analysis and academic #
|
|
|
|
# research and it was publicly released in the hope that it will be #
|
|
|
|
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
|
|
|
|
# #
|
|
|
|
# Visit our website for the full manual and a complete tutorial about #
|
|
|
|
# how to conduct AMR data analysis: https://msberends.github.io/AMR/ #
|
|
|
|
# ==================================================================== #
|
|
|
|
|
2022-08-28 10:31:50 +02:00
|
|
|
expect_equal(
|
|
|
|
guess_ab_col(example_isolates, "amox"),
|
|
|
|
"AMX"
|
|
|
|
)
|
|
|
|
expect_equal(
|
|
|
|
guess_ab_col(example_isolates, "amoxicillin"),
|
|
|
|
"AMX"
|
|
|
|
)
|
|
|
|
expect_equal(
|
|
|
|
guess_ab_col(example_isolates, "J01AA07"),
|
|
|
|
"TCY"
|
|
|
|
)
|
|
|
|
expect_equal(
|
|
|
|
guess_ab_col(example_isolates, "tetracycline"),
|
|
|
|
"TCY"
|
|
|
|
)
|
|
|
|
expect_equal(
|
|
|
|
guess_ab_col(example_isolates, "TETR"),
|
|
|
|
"TCY"
|
|
|
|
)
|
2021-05-03 13:06:43 +02:00
|
|
|
|
2022-08-28 10:31:50 +02:00
|
|
|
df <- data.frame(
|
|
|
|
AMP_ND10 = "R",
|
|
|
|
AMC_ED20 = "S"
|
|
|
|
)
|
|
|
|
expect_equal(
|
|
|
|
guess_ab_col(df, "ampicillin"),
|
|
|
|
"AMP_ND10"
|
|
|
|
)
|
|
|
|
expect_equal(
|
|
|
|
guess_ab_col(df, "J01CR02"),
|
|
|
|
"AMC_ED20"
|
|
|
|
)
|