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##
## Tests for the negative exponential growth model
##
## Created by Daniel Rodríguez Pérez on 27/7/2013.
##
## Copyright (c) 2013 Daniel Rodríguez Pérez.
##
## This program is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## (at your option) any later version.
##
## This program 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 for more details.
##
## You should have received a copy of the GNU General Public License
## along with this program. If not, see <http://www.gnu.org/licenses/>
##
context("Negative exponential growth model")
MAXERROR <- 1e-6
test_that("Negative exponential growth model values", {
expected <- c(-5.359815e+001, -1.908554e+001, -6.389056e+000,
-1.718282e+000, 0, 6.321206e-001, 8.646647e-001,
9.502129e-001, 9.816844e-001)
parameters <- c(1, 2)
time <- c(-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0)
expect_that(negativeExponential(time, parameters[1], parameters[2]),
equals(expected, tolerance = MAXERROR))
expected <- c(-7.666867e+001, -4.178027e+001, -2.061938e+001,
-7.784655e+000, 0, 4.721632e+000, 7.585447e+000,
9.322438e+000, 1.037598e+001)
parameters <- c(12, 1)
time <- c(-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0)
expect_that(negativeExponential(time, parameters[1], parameters[2]),
equals(expected, tolerance = MAXERROR))
})
test_that("Inverse negative exponentia growth model values", {
parameters <- c(1, 2)
time <- c(-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0)
size <- negativeExponential(time, parameters[1], parameters[2])
expect_that(negativeExponential.inverse(size, parameters[1], parameters[2]),
equals(time, tolerance = MAXERROR))
parameters <- c(12, 1)
size <- negativeExponential(time, parameters[1], parameters[2])
expect_that(negativeExponential.inverse(size, parameters[1], parameters[2]),
equals(time, tolerance = MAXERROR))
})
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