test_that("S3 degree functions work as expected", { x <- c(0, 90, 180, 360) y <- c(0, pi / 2, pi, pi * 2) x1 <- as_degree(x) expect_s3_class(x1, "circumplex_degree") expect_equal(as.numeric(x1), x) x2 <- as_degree(as_degree(x)) expect_s3_class(x2, "circumplex_degree") expect_equal(as.numeric(x2), x) x3 <- as_radian(as_degree(x)) expect_s3_class(x3, "circumplex_radian") expect_equal(as.numeric(x3), y) y1 <- as_radian(y) expect_s3_class(y1, "circumplex_radian") expect_equal(as.numeric(y1), y) y2 <- as_radian(as_radian(y)) expect_s3_class(y2, "circumplex_radian") expect_equal(as.numeric(y2), y) y3 <- as_degree(as_radian(y)) expect_s3_class(y3, "circumplex_degree") expect_equal(as.numeric(y3), x) }) test_that("The ssm display methods is working", { skip_on_cran() data("aw2009") res <- ssm_analyze(aw2009, scales = 1:8) expect_output(print(res), "# Profile \\[All\\]:") expect_output(summary(res), "Statistical Basis:\\t Mean Scores") expect_output(summary(res), "Bootstrap Resamples:\\t 2000") expect_output(summary(res), "Confidence Level:\\t 0\\.95") expect_output(summary(res), "Listwise Deletion:\\t TRUE") expect_output(summary(res), "Scale Displacements:\\t 90 135 180 225 270 315 360 45") data("jz2017") res <- ssm_analyze(jz2017, scales = 2:9, grouping = "Gender") expect_output(print(res), "# Profile \\[Female\\]:") expect_output(print(res), "# Profile \\[Male\\]:") res <- ssm_analyze( jz2017, scales = 2:9, grouping = "Gender", contrast = TRUE ) expect_output(print(res), "# Profile \\[Female\\]:") expect_output(print(res), "# Profile \\[Male\\]:") expect_output(print(res), "# Contrast \\[Male - Female\\]:") expect_output(print(res), "\u0394 Elevation") res <- ssm_analyze( jz2017, scales = 2:9, measures = "PARPD", grouping = "Gender", contrast = TRUE ) expect_output(print(res), "# Contrast \\[PARPD: Male - Female\\]:") expect_output(summary(res), "Statistical Basis:\\t Correlation Scores") }) test_that("unit classes are working", { expect_snapshot(octants()) expect_snapshot(as_radian(octants())) })