2019-08-25 22:53:22 +02:00
|
|
|
# ==================================================================== #
|
|
|
|
|
# TITLE #
|
2021-02-02 23:57:35 +01:00
|
|
|
# Antimicrobial Resistance (AMR) Data Analysis for R #
|
2019-08-25 22:53:22 +02:00
|
|
|
# #
|
|
|
|
|
# SOURCE #
|
2020-07-08 14:48:06 +02:00
|
|
|
# https://github.com/msberends/AMR #
|
2019-08-25 22:53:22 +02:00
|
|
|
# #
|
|
|
|
|
# LICENCE #
|
2021-12-23 18:56:28 +01:00
|
|
|
# (c) 2018-2022 Berends MS, Luz CF et al. #
|
2020-10-08 11:16:03 +02:00
|
|
|
# Developed at the University of Groningen, the Netherlands, in #
|
|
|
|
|
# collaboration with non-profit organisations Certe Medical #
|
|
|
|
|
# Diagnostics & Advice, and University Medical Center Groningen. #
|
2019-08-25 22:53:22 +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. #
|
2020-01-05 17:22:09 +01:00
|
|
|
# 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. #
|
2020-10-08 11:16:03 +02:00
|
|
|
# #
|
|
|
|
|
# Visit our website for the full manual and a complete tutorial about #
|
2021-02-02 23:57:35 +01:00
|
|
|
# how to conduct AMR data analysis: https://msberends.github.io/AMR/ #
|
2019-08-25 22:53:22 +02:00
|
|
|
# ==================================================================== #
|
|
|
|
|
|
2021-05-15 21:36:22 +02:00
|
|
|
expect_equal(kurtosis(example_isolates$age),
|
|
|
|
|
5.227999,
|
|
|
|
|
tolerance = 0.00001)
|
2019-08-25 22:53:22 +02:00
|
|
|
|
2021-05-15 21:36:22 +02:00
|
|
|
expect_equal(unname(kurtosis(data.frame(example_isolates$age))),
|
|
|
|
|
5.227999,
|
|
|
|
|
tolerance = 0.00001)
|
|
|
|
|
expect_equal(unname(kurtosis(data.frame(example_isolates$age), excess = TRUE)),
|
|
|
|
|
2.227999,
|
|
|
|
|
tolerance = 0.00001)
|
|
|
|
|
|
|
|
|
|
expect_equal(kurtosis(matrix(example_isolates$age)),
|
|
|
|
|
5.227999,
|
|
|
|
|
tolerance = 0.00001)
|
|
|
|
|
expect_equal(kurtosis(matrix(example_isolates$age), excess = TRUE),
|
|
|
|
|
2.227999,
|
|
|
|
|
tolerance = 0.00001)
|
