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estimate_contrasts() Fails to Accept Explicit Levels for Numeric Pred…
…ictor with Marginaleffects Backend (#415) * estimate_contrasts() Fails to Accept Explicit Levels for Numeric Predictor with Marginaleffects Backend Fixes #414 * no need for filter anymore * fix snapshot test * add test * Update test-estimate_contrasts.R * clean up * fix * Update get_marginalcontrasts.R * revert changes * fix * update tests * Update get_marginalcontrasts.R * Create test-estimate_contrasts-average.R * add test * fix test
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,71 @@ | ||
| skip_on_cran() | ||
| skip_if_not_installed("emmeans") | ||
| skip_if_not_installed("marginaleffects") | ||
| skip_on_os("mac") | ||
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| test_that("estimate_contrast, filter by numeric values", { | ||
| skip_if_not_installed("lme4") | ||
| data(iris) | ||
| mod <- lm(Sepal.Length ~ Petal.Width * Species, data = iris) | ||
| out1 <- estimate_contrasts(mod, contrast = "Species=c('versicolor','setosa')", by = "Petal.Width", estimate = "average") | ||
| expect_identical(dim(out1), c(5L, 10L)) | ||
| expect_equal(out1$Difference, c(0.13903, 0.06148, -0.01608, -0.09363, -0.17118), tolerance = 1e-4) | ||
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| data(CO2) | ||
| mod <- suppressWarnings(lme4::lmer(uptake ~ conc * Plant + (1 | Type), data = CO2)) | ||
| out1 <- estimate_contrasts(mod, contrast = "Plant", by = "conc", estimate = "average") | ||
| expect_identical(dim(out1), c(462L, 10L)) | ||
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| out1 <- estimate_contrasts(mod, contrast = "Plant=c('Qn1','Qn2','Qn3')", by = "conc", estimate = "average") | ||
| expect_identical(dim(out1), c(21L, 10L)) | ||
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| out1 <- estimate_contrasts(mod, contrast = "Plant=c('Qn1','Qn2','Qn3')", estimate = "average") | ||
| expect_identical(dim(out1), c(3L, 9L)) | ||
| expect_equal(out1$Difference, c(1.92857, 4.38571, 2.45714), tolerance = 1e-4) | ||
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| out <- estimate_contrasts(mod, contrast = "conc", by = "Plant", comparison = "b1=b2", estimate = "average") | ||
| expect_equal(out$Difference, -0.007061251, tolerance = 1e-4) | ||
| }) | ||
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| test_that("estimate_contrast, filterin in `by` and `contrast`", { | ||
| data(efc, package = "modelbased") | ||
| efc <- datawizard::to_factor(efc, c("c161sex", "c172code", "e16sex", "e42dep")) | ||
| levels(efc$c172code) <- c("low", "mid", "high") | ||
| m <- lm(neg_c_7 ~ barthtot + c172code * e42dep + c161sex, data = efc) | ||
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| out <- estimate_contrasts(m, c("e42dep", "c172code"), estimate = "average") | ||
| expect_identical(dim(out), c(66L, 9L)) | ||
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| out <- estimate_contrasts( | ||
| m, | ||
| c("e42dep=c('independent','slightly dependent','moderately dependent')"), | ||
| by = "c172code", | ||
| estimate = "average" | ||
| ) | ||
| expect_identical(dim(out), c(9L, 10L)) | ||
| expect_equal( | ||
| out$Difference, | ||
| c( | ||
| -0.56667, 0.87147, 1.43814, 1.30144, 3.00341, 1.70197, 2.78974, | ||
| 3.11667, 0.32692 | ||
| ), | ||
| tolerance = 1e-4 | ||
| ) | ||
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| out <- estimate_contrasts( | ||
| m, | ||
| "e42dep=c('independent','slightly dependent','moderately dependent')", | ||
| by = "c172code", | ||
| comparison = "b1=b4", | ||
| estimate = "average" | ||
| ) | ||
| expect_equal(out$Difference, 1.507576, tolerance = 1e-4) | ||
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| out <- estimate_contrasts(m, "e42dep", by = "c172code=c('low','mid')", estimate = "average") | ||
| expect_identical(dim(out), c(12L, 10L)) | ||
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| out <- estimate_contrasts(m, "e42dep=c('independent','slightly dependent')", by = "c172code=c('low','mid')", estimate = "average") | ||
| expect_identical(dim(out), c(2L, 10L)) | ||
| }) |
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