Created
November 20, 2025 18:16
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Compare two floating point number equivalence testing methods
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| library(testthat) | |
| # Method A: round to 6 significant digits, then compare with default tiny tolerance | |
| equal_after_signif <- function(x, y) { | |
| expect_equal(signif(x, digits = 6), signif(y, digits = 6)) | |
| } | |
| # Method B: compare with relative/absolute tolerance = 1e-6 | |
| equal_with_tolerance <- function(x, y) { | |
| expect_equal(x, y, tolerance = 1e-6) | |
| } | |
| test_that("Example 1: signif() says equal, tolerance says not equal", { | |
| x <- 1.000003 | |
| y <- 1 | |
| # Method A should succeed | |
| equal_after_signif(x, y) | |
| # Method B should fail | |
| expect_failure(equal_with_tolerance(x, y)) | |
| }) | |
| test_that("Example 2: tolerance says equal, signif() says not equal", { | |
| x <- 7.000006 | |
| y <- 7 | |
| # Method A should fail | |
| expect_failure(equal_after_signif(x, y)) | |
| # Method B should succeed | |
| equal_with_tolerance(x, y) | |
| }) |
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