context("evans_king works for two lm examples across all argument permutations") # theargs <- formals(evans_king) carslm <- lm(dist ~ speed, data = cars) bostonlm <- lm(medv ~ crim + zn + indus + chas + nox + rm + age + dis + rad + tax + ptratio + b + lstat, data = BostonHousing) theargs_GLS1 <- list("deflator" = c(NA, "speed", "2"), "qfmethod" = c("imhof", "davies", "integrate"), "method" = c("GLS"), "lambda_star" = c(2.5, 5), "mainlm" = list(carslm)) theargs_GLS2 <- list("deflator" = c(NA, "crim", "2"), "qfmethod" = c("imhof", "davies", "integrate"), "method" = c("GLS"), "lambda_star" = c(2.5, 5), "mainlm" = list(bostonlm)) theargs_LM1 <- list("deflator" = c(NA, "speed", "2"), "qfmethod" = c("imhof", "davies", "integrate"), "method" = c("LM"), "lambda_star" = c(2.5, 5), "mainlm" = list(carslm)) theargs_LM2 <- list("deflator" = c(NA, "crim", "2"), "qfmethod" = c("imhof", "davies", "integrate"), "method" = c("LM"), "lambda_star" = c(2.5, 5), "mainlm" = list(bostonlm)) allargs_GLS1 <- expand.grid(theargs_GLS1, stringsAsFactors = FALSE) allargs_GLS2 <- expand.grid(theargs_GLS2, stringsAsFactors = FALSE) allargs_LM1 <- expand.grid(theargs_LM1, stringsAsFactors = FALSE) allargs_LM2 <- expand.grid(theargs_LM2, stringsAsFactors = FALSE) test_that("evans_king GLS method works with all combinations of formals; carslm", { pvals <- vapply(1:nrow(allargs_GLS1), function(i) do.call(what = evans_king, args = append(list("statonly" = FALSE), unlist(allargs_GLS1[i, ], recursive = FALSE)))$p.value, NA_real_) lapply(pvals, function(p) expect_true(is.btwn01(p))) }) test_that("evans_king GLS method works with all combinations of formals; bostonlm", { skip_on_cran() pvals <- vapply(1:nrow(allargs_GLS2), function(i) do.call(what = evans_king, args = append(list("statonly" = FALSE), unlist(allargs_GLS2[i, ], recursive = FALSE)))$p.value, NA_real_) lapply(pvals, function(p) expect_true(is.btwn01(p))) }) test_that("evans_king LM1 method works with all combinations of formals; carslm", { pvals <- vapply(1:nrow(allargs_LM1), function(i) do.call(what = evans_king, args = append(list("statonly" = FALSE), unlist(allargs_LM1[i, ], recursive = FALSE)))$p.value, NA_real_) lapply(pvals, function(p) expect_true(is.btwn01(p))) }) test_that("evans_king LM2 method works with all combinations of formals; carslm", { skip_on_cran() pvals <- vapply(1:nrow(allargs_LM1), function(i) do.call(what = evans_king, args = append(list("statonly" = FALSE), unlist(allargs_LM2[i, ], recursive = FALSE)))$p.value, NA_real_) lapply(pvals, function(p) expect_true(is.btwn01(p))) })