Nothing
# summary() and its print and as.data.frame methods
test_that("summary() builds the coefficient matrix", {
skip_if_no_x13()
s <- summary(test_model("regressors"))
expect_s3_class(s, "summary.seas")
expect_true(is.matrix(s$coefficients))
expect_equal(
colnames(s$coefficients),
c("Estimate", "Std. Error", "z value", "Pr(>|z|)")
)
# the z value is the estimate over its standard error
expect_equal(
unname(s$coefficients[, "z value"]),
unname(s$coefficients[, "Estimate"] / s$coefficients[, "Std. Error"]),
tolerance = 1e-8
)
})
test_that("summary() carries the model diagnostics", {
skip_if_no_x13()
m <- test_model("seats")
s <- summary(m)
expect_equal(s$transform.function, transformfunction(m))
expect_equal(s$nobs, nobs(m))
expect_equal(s$bic, BIC(m))
expect_length(s$qsv, length(qs(m)[1, ]))
})
test_that("print() of a summary shows the coefficients and the diagnostics", {
skip_if_no_x13()
out <- capture.output(print(summary(test_model("regressors"))))
expect_match(out, "Coefficients:", all = FALSE)
expect_match(out, "SEATS adj.|X-11 adj.|adj\\.", all = FALSE)
expect_match(out, "Box-Ljung", all = FALSE)
})
test_that("print() of a summary takes the stats option", {
skip_if_no_x13()
m <- test_model("seats")
out <- capture.output(print(summary(m, stats = c("aicc", "bic"))))
expect_true(length(out) > 0)
expect_no_error(capture.output(print(summary(m, stats = NULL))))
})
test_that("as.data.frame() of a summary is one row per coefficient", {
skip_if_no_x13()
m <- test_model("regressors")
df <- as.data.frame(summary(m))
expect_s3_class(df, "data.frame")
expect_equal(
colnames(df),
c("term", "estimate", "std.error", "statistic", "p.value")
)
expect_equal(nrow(df), length(coef(m)))
expect_equal(df$estimate, unname(coef(m)), tolerance = 1e-8)
})
test_that("as.data.frame() of a summary without coefficients is NULL", {
skip_if_no_x13()
s <- summary(test_model("seats"))
s$coefficients <- NULL
expect_null(as.data.frame(s))
})
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