Nothing
##
## Tests for the Schnute growth model
##
## Created by Daniel Rodríguez Pérez on 30/8/2013.
##
## 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("Schnute growth model")
MAXERROR <- 1e-6
test_that("Schnute growth model values", {
expected <- c(1.002476, 1.011048, 1.048606, 1.202606, 1.732051,
3.156482, 6.416469, 13.454897, 28.422836, 570.535348)
parameters <- c(1, 2, 3, 0.5)
time <- c(-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0, 4.0)
expect_that(schnute(time, parameters[1], parameters[2], parameters[3], parameters[4]),
equals(expected, tolerance = MAXERROR))
expected <- c(1.643888, 1.644360, 1.646471, 1.655800, 1.695218,
1.837775, 2.205393, 2.862040, 3.825090, 12.662398)
parameters <- c(12, 2, 3, .20)
time <- c(-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0, 4.0)
expect_that(schnute(time, parameters[1], parameters[2], parameters[3], parameters[4]),
equals(expected, tolerance = MAXERROR))
})
test_that("Inverse Schnute growth model values", {
parameters <- c(1, 2, 3, 0.5)
time <- c(-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0, 4.0)
size <- schnute(time, parameters[1], parameters[2], parameters[3], parameters[4])
expect_that(schnute.inverse(size, parameters[1], parameters[2], parameters[3], parameters[4]),
equals(time, tolerance = MAXERROR))
parameters <- c(12, 2, 3, .20)
size <- schnute(time, parameters[1], parameters[2], parameters[3], parameters[4])
expect_that(schnute.inverse(size, parameters[1], parameters[2], parameters[3], parameters[4]),
equals(time, tolerance = MAXERROR))
})
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