test_that("Function returns correct values", { # starting values fuzzyValuesA <- matrix(c(0.25,0.5,1,1.25,0.75,1,1.5,2.2,-1,0,0,2,0,1,2,2.2),ncol = 4,byrow = TRUE) fuzzyValuesIncA <- matrix(c(0.25,0.5,1,0.25,0.25,1,1.5,0.7,1,0,0,2,1,1,2,0.2), ncol = 4,byrow = TRUE) # snapshots tests expect_snapshot( {set.seed(1234567) DMethod(fuzzyValuesA)} ) expect_snapshot( {set.seed(1234567) DMethod(fuzzyValuesA, b=5)} ) expect_snapshot( {set.seed(1234567) DMethod(fuzzyValuesIncA, increases = TRUE)} ) expect_snapshot( {set.seed(1234567) DMethod(fuzzyValuesIncA, b=5, increases = TRUE)} ) }) test_that("Function reports errors", { # starting values fuzzyValuesA <- matrix(c(0.25,0.5,1,1.25,0.75,1,1.5,2.2,-1,0,0,2,0,1,2,2.2),ncol = 4,byrow = TRUE) fuzzyValuesNA <- matrix(c(NA,0.5,1,1.25,0.75,1,1.5,2.2,-1,0,0,2),ncol = 4,byrow = TRUE) fuzzyValuesNotFuzzy <- matrix(c(7,0.5,1,1.25,0.75,1,1.5,2.2,-1,0,0,2),ncol = 4,byrow = TRUE) fuzzyValues5Elem <- matrix(c(0.25,0.5,1,0.25,0.25,1,1.5,0.7,1,0), ncol = 5,byrow = TRUE) strangeValues <- c("c", TRUE, 4, -3) arrNotMatrix <- array(c(5,9,3,10,11,12,13,14,15),dim = c(3,3,2)) InfInVector <- c(Inf,0,2,3) # tests expect_error(DMethod(fuzzyValuesNA), "There are some NA in initial sample") expect_error(DMethod(fuzzyValuesNotFuzzy), "Some values in initial sample are not correct fuzzy numbers") expect_error(DMethod(fuzzyValues5Elem), "There should be 4 columns in initial sample") expect_error(DMethod(strangeValues), "Some values in initial sample are not numeric ones") expect_error(DMethod(arrNotMatrix), "Values in initialSample are not given as a matrix/vector") expect_error(DMethod(InfInVector), "Some values in initial sample are not correct fuzzy numbers") expect_error(DMethod(fuzzyValuesA,increases = "15"), "Parameter increases should have logical value") expect_error(DMethod(fuzzyValuesA, b = -4), "Parameter b should be integer value and > 0") expect_error(DMethod(fuzzyValuesA, b = 4.3), "Parameter b should be integer value and > 0") })