fem <- FixedEffectsModel( response = list( vsia = units::as_units("ft^3") ), covariates = list( dsob = units::as_units("in"), hst = units::as_units("ft") ), parameters = list(a = 1), predict_fn = function(dsob, hst) { a * dsob * hst } ) test_that("units convert when different covariate units are specified", { vals1 <- c(5, 10) vals2 <- c(5, 10) units(vals1) <- c("cm") units(vals2) <- c("m") covariates <- list( dsob = units::as_units("in"), hst = units::as_units("ft") ) conv_out <- convert_units(vals1, vals2, units_list = covariates) u11 <- 1.968504 u12 <- 3.937008 u21 <- 16.4042 u22 <- 32.8074 units(u11) <- "in" units(u12) <- "in" units(u21) <- "ft" units(u22) <- "ft" expect_equal(length(conv_out), 2) expect_equal(conv_out[[1]][[1]], u11, tolerance = 0.001) expect_equal(conv_out[[1]][[2]], u12, tolerance = 0.001) expect_equal(conv_out[[2]][[1]], u21, tolerance = 0.001) expect_equal(conv_out[[2]][[2]], u22, tolerance = 0.001) }) test_that("correct prediction is obtained when covt units are converted", { vals1 <- c(5, 10) vals2 <- c(5, 10) units(vals1) <- c("cm") units(vals2) <- c("m") preds <- predict(fem, vals1, vals2) u1 <- 32.29173 u2 <- 129.16693 units(u2) <- "ft^3" units(u1) <- "ft^3" expect_equal(preds[[1]], u1, tolerance = 0.001) expect_equal(preds[[2]], u2, tolerance = 0.001) }) test_that("correct prediction is obtained when response units are converted", { vals1 <- c(5, 10) vals2 <- c(5, 10) units(vals1) <- c("cm") units(vals2) <- c("m") preds <- predict(fem, vals1, vals2, output_units = "m^3") u1 <- 0.9144 u2 <- 3.6576 units(u1) <- "m^3" units(u2) <- "m^3" expect_equal(preds[[1]], u1, tolerance = 0.001) expect_equal(preds[[2]], u2, tolerance = 0.001) }) test_that("predictions are made even if covt units are not specified", { vals1 <- c(5, 10) vals2 <- c(5, 10) u1 <- 0.7079212 u2 <- 2.8316847 units(u1) <- "m^3" units(u2) <- "m^3" preds <- predict(fem, vals1, vals2, output_units = "m^3") expect_equal(preds[[1]], u1, tolerance = 0.001) expect_equal(preds[[2]], u2, tolerance = 0.001) })