test_that("plot.tune_vlmc works as expected", { pc <- powerconsumption[powerconsumption$week == 10, ] dts <- cut(pc$active_power, breaks = c(0, quantile(pc$active_power, probs = c(0.5, 1)))) tune_result <- tune_vlmc(dts) vdiffr::expect_doppelganger("Bic base plot", \() plot(tune_result)) vdiffr::expect_doppelganger( "Log likelihood base plot", \() plot(tune_result, value = "likelihood") ) tune_result_aic <- tune_vlmc(dts, criterion = "AIC") vdiffr::expect_doppelganger( "Aic native base plot", \() plot(tune_result_aic, cutoff = "native") ) vdiffr::expect_doppelganger( "Custom plot", \() plot(tune_result_aic, cutoff = "native", lwd = 2, type = "b", col = 2, xlab = "Something", ylab = "Something else", main = "Full custom plot" ) ) }) test_that("plot.tune_covlmc works as expected", { pc <- powerconsumption[powerconsumption$week == 10, ] dts <- cut(pc$active_power, breaks = c(0, quantile(pc$active_power, probs = c(0.5, 1)))) dts_cov <- data.frame(day_night = (pc$hour >= 7 & pc$hour <= 17)) tune_result <- tune_covlmc(dts, dts_cov) vdiffr::expect_doppelganger("COVLMC Bic base plot", \() plot(tune_result)) vdiffr::expect_doppelganger( "COVLMC Log likelihood base plot", \() plot(tune_result, value = "likelihood") ) tune_result_aic <- tune_covlmc(dts, dts_cov, criterion = "AIC") vdiffr::expect_doppelganger( "COVLMC Aic base plot", \() plot(tune_result_aic) ) vdiffr::expect_doppelganger( "COVLMC Custom plot", \() plot(tune_result_aic, lwd = 2, type = "b", col = 2, xlab = "Something", ylab = "Something else", main = "Full custom plot" ) ) }) test_that("plot.tune_covlmc rejects native scale", { pc <- powerconsumption[powerconsumption$week == 10, ] dts <- cut(pc$active_power, breaks = c(0, quantile(pc$active_power, probs = c(0.5, 1)))) dts_cov <- data.frame(day_night = (pc$hour >= 7 & pc$hour <= 17)) tune_result <- tune_covlmc(dts, dts_cov) expect_error(plot(tune_result, cutoff = "native")) })