if (!.Call(`_rxode2_isIntel`)) { test_that("v1 rate constants", { p1 <- rxDerived(v1 = 8, k = 0.5, digits = 3) expect_equal( p1, structure(list( vc = 8, kel = 0.5, vss = 8, cl = 4, t12alpha = 1.39, alpha = 0.5, A = 0.125, fracA = 1 ), class = "data.frame", row.names = c(NA, -1L) ) ) p1 <- rxDerived(v1 = 5, k = 0.7, k12 = 0.5, k21 = 0.05, digits = 3) expect_equal( p1, structure(list( vc = 5, kel = 0.7, k12 = 0.5, k21 = 0.05, vp = 50, vss = 55, cl = 3.5, q = 2.5, t12alpha = 0.568, t12beta = 24.2, alpha = 1.22, beta = 0.0287, A = 0.196, B = 0.00358, fracA = 0.982, fracB = 0.0179 ), class = "data.frame", row.names = c(NA, -1L) ) ) p1 <- rxDerived(v1 = 10, k = 0.3, k12 = 0.2, k13 = 0.1, k21 = 0.02, k31 = 0.001, digits = 3) expect_equal(p1, structure(list( vc = 10, kel = 0.3, k12 = 0.2, k21 = 0.02, k13 = 0.1, k31 = 0.001, vp = 100, vp2 = 1000, vss = 1110, cl = 3, q = 2, q2 = 1, t12alpha = 1.14, t12beta = 52.2, t12gamma = 931, alpha = 0.607, beta = 0.0133, gamma = 0.000745, A = 0.0988, B = 0.00111, C = 6.47e-05, fracA = 0.988, fracB = 0.0111, fracC = 0.000647 ), class = "data.frame", row.names = c(NA, -1L) )) }) test_that("Volumes and clearances", { p1 <- rxDerived(v1 = 8.0, cl = 4.0, digits = 3) expect_equal(p1, structure(list( vc = 8, kel = 0.5, vss = 8, cl = 4, t12alpha = 1.39, alpha = 0.5, A = 0.125, fracA = 1 ), class = "data.frame", row.names = c(NA, -1L) )) p1 <- rxDerived(v1 = 5.0, v2 = 50, cl = 3.5, q = 2.5, digits = 3) expect_equal(p1, structure(list( vc = 5, kel = 0.7, k12 = 0.5, k21 = 0.05, vp = 50, vss = 55, cl = 3.5, q = 2.5, t12alpha = 0.568, t12beta = 24.2, alpha = 1.22, beta = 0.0287, A = 0.196, B = 0.00358, fracA = 0.982, fracB = 0.0179 ), class = "data.frame", row.names = c(NA, -1L) )) p1 <- rxDerived( v1 = 10, v2 = 100, v3 = 1000, cl = 3, q = 2, q2 = 1, digits = 3 ) expect_equal(p1, structure(list( vc = 10, kel = 0.3, k12 = 0.2, k21 = 0.02, k13 = 0.1, k31 = 0.001, vp = 100, vp2 = 1000, vss = 1110, cl = 3, q = 2, q2 = 1, t12alpha = 1.14, t12beta = 52.2, t12gamma = 931, alpha = 0.607, beta = 0.0133, gamma = 0.000745, A = 0.0988, B = 0.00111, C = 6.47e-05, fracA = 0.988, fracB = 0.0111, fracC = 0.000647 ), class = "data.frame", row.names = c(NA, -1L) )) }) }