Nothing
##
## Tests for the Gompertz 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("Gompertz growth model")
MAXERROR <- 1e-6
test_that("Gompertz growth model values", {
expected <- c(0, 6.488035e-079, 3.580340e-018, 1.280131e-004, 1.353353e-001,
6.400171e-001, 9.052228e-001, 9.780270e-001, 9.950548e-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(gompertz(time, parameters[1], parameters[2], parameters[3]),
equals(expected, tolerance = MAXERROR))
expected <- c(2.330805e-023, 2.270614e-008, 7.415748e-003, 7.918564e-001,
4.414553e+000, 8.306408e+000, 1.048108e+001, 1.141718e+001,
1.178221e+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(gompertz(time, parameters[1], parameters[2], parameters[3]),
equals(expected, tolerance = MAXERROR))
})
test_that("Inverse Gompertz growth model values", {
parameters <- c(1, 2, 3)
time <- c(-1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0)
size <- gompertz(time, parameters[1], parameters[2], parameters[3])
expect_that(gompertz.inverse(size, parameters[1], parameters[2], parameters[3]),
equals(time, tolerance = MAXERROR))
parameters <- c(12, 1, 2)
size <- gompertz(time, parameters[1], parameters[2], parameters[3])
expect_that(gompertz.inverse(size, parameters[1], parameters[2], parameters[3]),
equals(time, tolerance = MAXERROR))
})
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