testSampData <- data.frame(compA = c(0.3,0.4,0.1,0.2), compB = c(0.4,0.3,0.4,0.4), compC = c(0.3,0.3,0.5,0.4)) testCompDis <- matrix(data = c(0,0.6,0.7, 0.6,0,0.3, 0.7,0.3,0), nrow = 3) colnames(testCompDis) <- c("compA", "compB", "compC") rownames(testCompDis) <- c("compA", "compB", "compC") testCompDis2 <- testCompDis colnames(testCompDis2) <- c("compA", "compB", "compX") test_that("beta diversity is calculated", { expect_equal(nrow(calcBetaDiv(sampleData = testSampData)), 1) expect_equal(nrow(calcBetaDiv(sampleData = testSampData, compDisMat = testCompDis, type = "FuncHillDiv", q = 3)), 1) expect_equal(nrow(calcBetaDiv(sampleData = testSampData, compDisMat = testCompDis, type = c("HillDiv", "FuncHillDiv"), q = 3)), 2) expect_false(any(is.na(calcBetaDiv(sampleData = testSampData)))) expect_false(any(is.na(calcBetaDiv(sampleData = testSampData, compDisMat = testCompDis, type = "FuncHillDiv", q = 3)))) }) test_that("wrong/non-logical input is detected and gives error/message", { expect_error(calcBetaDiv(sampleData = testSampData, q = -1)) expect_error(calcBetaDiv(sampleData = testSampData, type = "NotAnIndex")) expect_error(calcBetaDiv(sampleData = testSampData, type = "FuncHillDiv")) expect_error(calcBetaDiv(sampleData = testSampData, compDisMat = testCompDis[3:1,3:1], type = c("FuncHillDiv"))) expect_error(calcBetaDiv(sampleData = testSampData, compDisMat = testCompDis2, type = c("FuncHillDiv"))) expect_message(calcBetaDiv(sampleData = testSampData, compDisMat = testCompDis, type = c("HillDiv"))) })