Nothing
##
## Tests for the monomolecular 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("Monomolecular growth model")
MAXERROR <- 1e-6
test_that("Monomolecular growth model values", {
expected <- c(-8.058576e+002, -1.790343e+002, -3.917107e+001,
-7.963378e+000, -1, 5.537397e-001, 9.004259e-001,
9.777820e-001, 9.950425e-001)
parameters <- c(1, 2, 3)
time <- c(-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0)
expect_that(monomolecular(time, parameters[1], parameters[2], parameters[3]),
equals(expected, tolerance = MAXERROR))
expected <- c(-6.431778e+002, -2.290264e+002, -7.666867e+001,
-2.061938e+001, 0, 7.585447e+000, 1.037598e+001,
1.140256e+001, 1.178021e+001)
parameters <- c(12, 1, 2)
time <- c(-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0)
expect_that(monomolecular(time, parameters[1], parameters[2], parameters[3]),
equals(expected, tolerance = MAXERROR))
})
test_that("Inverse Monomolecular growth model values", {
parameters <- c(1, 2, 3)
time <- c(-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0)
size <- monomolecular(time, parameters[1], parameters[2], parameters[3])
expect_that(monomolecular.inverse(size, parameters[1], parameters[2], parameters[3]),
equals(time, tolerance = MAXERROR))
parameters <- c(12, 1, 2)
size <- monomolecular(time, parameters[1], parameters[2], parameters[3])
expect_that(monomolecular.inverse(size, parameters[1], parameters[2], parameters[3]),
equals(time, tolerance = MAXERROR))
})
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