Nothing
x_mat <- as.matrix(pbc_orsf[, c('bili',
'age',
'protime',
'chol')])
head(x_mat)
x_scaled <- orsf_scale_cph(x_mat)
test_that(
desc = 'dimensions and names are conserved',
code = {
expect_equal(dim(x_mat), dim(x_scaled))
expect_equal(colnames(x_mat), colnames(x_scaled))
}
)
test_that(
desc = 'transforms are stored as an attribute',
code = {
expect_false(is.null(attr(x_scaled, 'transforms')))
expect_type(attr(x_scaled, 'transforms'), 'double')
}
)
x_unscaled <- orsf_unscale_cph(x_scaled)
test_that(
desc = 'inverse transform is equivalent to initial data',
code = {
expect_lt(max(abs(x_mat - x_unscaled)), 1e-8)
}
)
bad_mat <- as.matrix(pbc_orsf[, c('sex',
'age',
'protime',
'chol')])
bad_vec_1 <- c(1)
bad_vec_2 <- rep(-1, nrow(x_mat))
bad_vec_3 <- rep('a', nrow(x_mat))
test_that(
desc = 'unexpected inputs trigger informative error',
code = {
expect_error(orsf_scale_cph(bad_mat), regexp = 'should have type')
expect_error(orsf_scale_cph(pbc_orsf),'should inherit from')
expect_error(orsf_scale_cph(x_mat, bad_vec_1), 'length')
expect_error(orsf_scale_cph(x_mat, bad_vec_2), 'should be > 0')
expect_error(orsf_scale_cph(x_mat, bad_vec_3), 'should have type')
expect_error(orsf_unscale_cph(x_mat), 'transforms')
}
)
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