testthat::test_that("ricker_test", {
# Here we create a vecotr with known results
input_vector <- list(A0=10, J0=10, u=0.2, y0=10, a=5, b=5, c11=0.1, c12=0.1, c21=0.12, c22=0.1)
#this is the fake test data to be checked
test_data <- ricker( input_vector$A0, input_vector$J0 , input_vector$u, input_vector$y0 , input_vector$a, input_vector$b, input_vector$c11, input_vector$c12, input_vector$c21, input_vector$c22 )
# Check that the dimensions of the dataframe are as required
testthat::expect_equal(dim(test_data)[1],1001)
#check the outcome of the population model
testthat::expect_equal(round(test_data$xn[1000]),31)
testthat::expect_equal(round(test_data$yn[1000]),0)
})
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