test_that("nas, garg", { S1 <- c("janitor", "statistician", "midwife", "bailiff", "auctioneer", "photographer", "geologist", "shoemaker", "athlete", "cashier", "dancer", "housekeeper", "accountant", "physicist", "gardener", "dentist", "weaver", "blacksmith", "psychologist", "supervisor", "mathematician", "surveyor", "tailor", "designer", "economist", "mechanic", "laborer", "postmaster", "broker", "chemist", "librarian", "attendant", "clerical", "musician", "porter", "scientist", "carpenter", "sailor", "instructor", "sheriff", "pilot", "inspector", "mason", "baker", "administrator", "architect", "collector", "operator", "surgeon", "driver", "painter", "conductor", "nurse", "cook", "engineer", "retired", "sales", "lawyer", "clergy", "physician", "farmer", "clerk", "manager", "guard", "artist", "smith", "official", "police", "doctor", "professor", "student", "judge", "teacher", "author", "secretary", "soldier") A1 <- c("he", "son", "his", "him", "father", "man", "boy", "himself", "male", "brother", "sons", "fathers", "men", "boys", "males", "brothers", "uncle", "uncles", "nephew", "nephews") B1 <- c("she", "daughter", "hers", "her", "mother", "woman", "girl", "herself", "female", "sister", "daughters", "mothers", "women", "girls", "females", "sisters", "aunt", "aunts", "niece", "nieces" ) garg_f1 <- nas(googlenews, S1, A1, B1) expect_true("sweater" %in% class(garg_f1)) expect_true("nas" %in% class(garg_f1)) }) test_that("semaxis, garg", { S2 <- c("janitor", "statistician", "midwife", "bailiff", "auctioneer", "photographer", "geologist", "shoemaker", "athlete", "cashier", "dancer", "housekeeper", "accountant", "physicist", "gardener", "dentist", "weaver", "blacksmith", "psychologist", "supervisor", "mathematician", "surveyor", "tailor", "designer", "economist", "mechanic", "laborer", "postmaster", "broker", "chemist", "librarian", "attendant", "clerical", "musician", "porter", "scientist", "carpenter", "sailor", "instructor", "sheriff", "pilot", "inspector", "mason", "baker", "administrator", "architect", "collector", "operator", "surgeon", "driver", "painter", "conductor", "nurse", "cook", "engineer", "retired", "sales", "lawyer", "clergy", "physician", "farmer", "clerk", "manager", "guard", "artist", "smith", "official", "police", "doctor", "professor", "student", "judge", "teacher", "author", "secretary", "soldier") A2 <- c("he", "son", "his", "him", "father", "man", "boy", "himself", "male", "brother", "sons", "fathers", "men", "boys", "males", "brothers", "uncle", "uncles", "nephew", "nephews") B2 <- c("she", "daughter", "hers", "her", "mother", "woman", "girl", "herself", "female", "sister", "daughters", "mothers", "women", "girls", "females", "sisters", "aunt", "aunts", "niece", "nieces" ) garg_f1 <- semaxis(googlenews, S2, A2, B2) expect_true("sweater" %in% class(garg_f1)) expect_true("semaxis" %in% class(garg_f1)) }) test_that("ect, garg", { S2 <- c("janitor", "statistician", "midwife", "bailiff", "auctioneer", "photographer", "geologist", "shoemaker", "athlete", "cashier", "dancer", "housekeeper", "accountant", "physicist", "gardener", "dentist", "weaver", "blacksmith", "psychologist", "supervisor", "mathematician", "surveyor", "tailor", "designer", "economist", "mechanic", "laborer", "postmaster", "broker", "chemist", "librarian", "attendant", "clerical", "musician", "porter", "scientist", "carpenter", "sailor", "instructor", "sheriff", "pilot", "inspector", "mason", "baker", "administrator", "architect", "collector", "operator", "surgeon", "driver", "painter", "conductor", "nurse", "cook", "engineer", "retired", "sales", "lawyer", "clergy", "physician", "farmer", "clerk", "manager", "guard", "artist", "smith", "official", "police", "doctor", "professor", "student", "judge", "teacher", "author", "secretary", "soldier") A2 <- c("he", "son", "his", "him", "father", "man", "boy", "himself", "male", "brother", "sons", "fathers", "men", "boys", "males", "brothers", "uncle", "uncles", "nephew", "nephews") B2 <- c("she", "daughter", "hers", "her", "mother", "woman", "girl", "herself", "female", "sister", "daughters", "mothers", "women", "girls", "females", "sisters", "aunt", "aunts", "niece", "nieces" ) garg_f1 <- ect(googlenews, S2, A2, B2) expect_true("sweater" %in% class(garg_f1)) expect_true("ect" %in% class(garg_f1)) expect_equal(nrow(garg_f1$P), 2) expect_equal(ncol(garg_f1$P), length(S2)) })