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ROAM_exampleData.R
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ROAM_exampleData.R
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# ROAM
# R Open Abstraction Module Example Datasets
############################################
# ofp_Figure
ex01_Figure<-structure(list(word1 = c("no", "not", "not", "no", "not", "not",
"not", "not", "no", "not", "no", "not", "not", "not", "no", "not",
"no", "no", "not", "not", "not", "no", "not", "without", "never",
"no", "not", "no", "no", "not", "not", "not", "no", "no", "no",
"not", "not", "without", "never", "no", "not", "not", "not",
"not", "not", "never", "no", "no", "not", "not", "not", "not",
"not", "not", "not", "without", "no", "no", "no", "no", "no",
"not", "not", "not", "not", "not", "not", "never", "no", "no",
"no", "no", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "without", "never", "never", "never", "no", "no",
"no", "no", "no", "no", "no", "no", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"without", "without", "never", "never", "no", "no", "no", "no",
"no", "no", "no", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "without",
"without", "without", "without", "without", "without", "never",
"never", "never", "never", "never", "never", "never", "never",
"never", "never", "never", "never", "no", "no", "no", "no", "no",
"no", "no", "no", "no", "no", "no", "no", "no", "no", "no", "no",
"no", "no", "no", "no", "no", "no", "no", "no", "no", "no", "no",
"no", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "without", "without",
"without", "without", "without", "without", "without", "without",
"without", "without", "without", "without", "without", "never",
"never", "never", "never", "never", "never", "never", "never",
"never", "never", "never", "never", "never", "never", "never",
"never", "never", "never", "never", "never", "never", "never",
"never", "never", "never", "never", "never", "never", "never",
"never", "never", "never", "never", "never", "never", "never",
"never", "never", "never", "never", "never", "never", "never",
"never", "no", "no", "no", "no", "no", "no", "no", "no", "no",
"no", "no", "no", "no", "no", "no", "no", "no", "no", "no", "no",
"no", "no", "no", "no", "no", "no", "no", "no", "no", "no", "no",
"no", "no", "no", "no", "no", "no", "no", "no", "no", "no", "no",
"no", "no", "no", "no", "no", "no", "no", "no", "no", "no", "no",
"no", "no", "no", "no", "no", "no", "no", "no", "no", "no", "no",
"no", "no", "no", "no", "no", "no", "no", "no", "no", "no", "no",
"no", "no", "no", "no", "no", "no", "no", "no", "no", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "not", "not", "not", "not", "not", "not", "not", "not",
"not", "without", "without", "without", "without", "without",
"without", "without", "without", "without", "without", "without",
"without", "without", "without", "without", "without", "without",
"without", "without", "without", "without", "without", "without",
"without", "without", "without", "without", "without", "without",
"without", "without", "without", "without", "without", "without",
"without", "without", "without", "without", "without", "without",
"without", "without"), word2 = c("doubt", "like", "help", "no",
"want", "wish", "allow", "care", "harm", "sorry", "great", "leave",
"pretend", "worth", "pleasure", "love", "danger", "want", "afraid",
"doubt", "fail", "good", "forget", "feeling", "forget", "matter",
"avoid", "chance", "hope", "forgotten", "miss", "perfectly",
"bad", "better", "opportunity", "admit", "fair", "delay", "failed",
"wish", "dislike", "distress", "refuse", "regret", "trust", "want",
"evil", "greater", "better", "blame", "deny", "escape", "fit",
"hope", "suffer", "interruption", "affection", "apology", "cried",
"help", "trouble", "deceive", "deceived", "despair", "envy",
"ill", "prevent", "allow", "fear", "injury", "loss", "share",
"agree", "certain", "disturb", "fond", "happy", "lost", "satisfied",
"stop", "strike", "betraying", "agree", "failing", "loved", "advantage",
"comfort", "confidence", "delay", "denying", "desire", "doubts",
"positive", "comfortable", "daring", "detain", "fear", "forgive",
"pay", "pleasant", "please", "strong", "suspect", "thank", "trouble",
"wrong", "losing", "wishing", "liked", "wish", "fresh", "humour",
"ill", "inconvenience", "interest", "natural", "pain", "accept",
"adopt", "betray", "blind", "complain", "convinced", "cried",
"disappoint", "disappointed", "excuse", "good", "join", "offend",
"offended", "pain", "pity", "pleased", "promise", "reach", "share",
"tired", "true", "unworthy", "wishing", "affection", "great",
"hope", "hopes", "loss", "pain", "consent", "disgrace", "doubted",
"forgive", "happy", "hope", "leave", "like", "safe", "suspected",
"tired", "worth", "charm", "defect", "demand", "disguise", "dread",
"encouragement", "escaping", "faith", "feeling", "hardship",
"hindrance", "hopes", "importance", "kind", "leave", "limits",
"love", "miss", "nonsense", "peace", "preventing", "promise",
"remarkable", "smile", "thanks", "true", "waste", "worse", "accuse",
"acquit", "adequate", "admire", "admiring", "alarm", "capable",
"clever", "commit", "consent", "courage", "cut", "delay", "desirable",
"detained", "discouraged", "disdain", "disgrace", "disgust",
"easy", "encourage", "engage", "enjoy", "expose", "forced", "great",
"hesitate", "impose", "inconvenient", "injured", "interest",
"interrupt", "inviting", "kill", "mistake", "nerves", "perfect",
"positively", "prepared", "promoted", "recommend", "relieve",
"rich", "scold", "smile", "stopped", "struck", "suffering", "superior",
"wonderful", "accident", "anger", "disguise", "disturbing", "falling",
"fear", "gaining", "help", "love", "risk", "stopping", "success",
"tears", "admit", "admitted", "alone", "appeased", "betrayed",
"better", "bless", "bold", "brilliant", "complains", "dear",
"desired", "discarded", "doubt", "dull", "easy", "encouraged",
"esteemed", "excited", "fails", "fair", "fallen", "forgotten",
"indifferent", "insult", "insulted", "killed", "love", "miss",
"no", "offend", "pay", "pitied", "promised", "reach", "reached",
"recommend", "rejoiced", "respected", "satisfied", "saved", "struck",
"weary", "worn", "accusation", "active", "admitted", "advantages",
"affectionate", "alarm", "amusement", "attraction", "authority",
"benefit", "care", "cautious", "cheerful", "comfortable", "comforts",
"contemptuous", "courage", "defects", "demands", "difficult",
"disgrace", "dislike", "disputing", "distrust", "embarrassing",
"embarrassment", "enemy", "envy", "excellence", "excuse", "fair",
"feeble", "fine", "fire", "fond", "free", "grief", "happiness",
"harsher", "important", "increase", "indifference", "indignant",
"insignificant", "interruption", "laughing", "lurking", "mercy",
"mistaking", "novel", "pity", "poverty", "pray", "pretty", "prospect",
"regret", "regrets", "revenge", "risks", "scandalous", "selfish",
"sigh", "smiles", "sorrow", "spirit", "stop", "strong", "success",
"sullen", "superior", "support", "suspicious", "sweet", "tears",
"thank", "triumph", "triumphant", "unacceptable", "unhappy",
"unworthy", "useful", "violent", "warning", "yes", "abuse", "advanced",
"affection", "affronted", "agreeable", "alarmed", "anger", "angry",
"apologize", "ashamed", "astonished", "attack", "beloved", "betrayed",
"calm", "cherish", "clash", "clear", "competent", "conciliating",
"contend", "cruel", "danger", "dear", "deceiving", "defer", "demanding",
"desire", "desperate", "destroy", "determined", "die", "disgusted",
"disgusting", "displeased", "disregard", "distressed", "disturbed",
"doomed", "dream", "encouragement", "entitled", "expel", "extend",
"fallen", "fatigue", "foolish", "fortunate", "frightened", "granted",
"growing", "hate", "helpless", "hopeless", "humour", "hurt",
"improved", "increase", "inferior", "interrupted", "intimidate",
"invite", "irritate", "kind", "laugh", "loving", "luckily", "mad",
"misleading", "missed", "missing", "mistaken", "misunderstand",
"neglect", "no", "nonsense", "pained", "pardon", "pleasure",
"praise", "pretty", "prevented", "protect", "protest", "punish",
"recommended", "remarkable", "resolve", "reward", "ruin", "safe",
"safely", "shame", "smart", "strange", "stronger", "struggle",
"suspected", "sympathy", "torture", "tragic", "ugly", "undesirable",
"unfair", "warm", "waste", "welcomed", "win", "winning", "yes",
"accepting", "admiring", "anguish", "apology", "attacking", "benefit",
"chance", "contempt", "crying", "danger", "daring", "debt", "delight",
"depressing", "elation", "embarrassment", "encouragement", "enjoying",
"error", "exaggerated", "excuse", "fatigue", "fearing", "good",
"ill", "improvement", "laughing", "loving", "mercy", "neglecting",
"no", "obstacle", "offending", "poor", "praise", "regretting",
"resolving", "selfishness", "strong", "suffering", "trembling",
"violence", "warmth"), score = c(-1L, 2L, 2L, -1L, 1L, 1L, 1L,
2L, -2L, -1L, 3L, -1L, -1L, 2L, 3L, 3L, -2L, 1L, -2L, -1L, -2L,
3L, -1L, 1L, -1L, 1L, -1L, 2L, 2L, -1L, -2L, 3L, -3L, 2L, 2L,
-1L, 2L, -1L, -2L, 1L, -2L, -2L, -2L, -2L, 1L, 1L, -3L, 3L, 2L,
-2L, -2L, -1L, 1L, 2L, -2L, -2L, 3L, -1L, -2L, 2L, -2L, -3L,
-3L, -3L, -1L, -2L, -1L, 1L, -2L, -2L, -3L, 1L, 1L, 1L, -2L,
2L, 3L, -3L, 2L, -1L, -1L, -3L, 1L, -2L, 3L, 2L, 2L, 2L, -1L,
-2L, 1L, -1L, 2L, 2L, 2L, -2L, -2L, 1L, -1L, 3L, 1L, 2L, -1L,
2L, -2L, -2L, -3L, 1L, 2L, 1L, 1L, 2L, -2L, -2L, 1L, 1L, -2L,
1L, 1L, -3L, -1L, -2L, 1L, -2L, -2L, -2L, -1L, 3L, 1L, -2L, -2L,
-2L, -2L, 3L, 1L, 1L, 1L, -2L, 2L, -2L, 1L, 3L, 3L, 2L, 2L, -3L,
-2L, 2L, -2L, -1L, 1L, 3L, 2L, -1L, 2L, 1L, -1L, -2L, 2L, 3L,
-3L, -1L, -1L, -2L, 2L, -1L, 1L, 1L, -2L, -2L, 2L, 2L, 2L, -1L,
-1L, 3L, -2L, -2L, 2L, -1L, 1L, 2L, 2L, 2L, 2L, -1L, -3L, -2L,
2L, 1L, 3L, 3L, -2L, 1L, 2L, 1L, 2L, 2L, -1L, -1L, 2L, -2L, -2L,
-2L, -2L, -3L, 1L, 2L, 1L, 2L, -1L, -1L, 3L, -2L, -1L, -2L, -2L,
1L, -2L, 1L, -3L, -2L, -1L, 3L, 2L, 1L, 1L, 2L, 1L, 2L, -2L,
2L, -1L, -1L, -2L, 2L, 4L, -2L, -3L, -1L, -2L, -1L, -2L, 2L,
2L, 3L, -2L, -1L, 2L, -2L, -1L, -1L, -2L, 2L, -3L, 2L, 2L, 2L,
4L, -2L, 2L, 2L, -1L, -1L, -2L, 1L, 2L, 2L, 3L, -2L, 2L, -2L,
-1L, -2L, -2L, -2L, -3L, 3L, -2L, -1L, -2L, -1L, -1L, 1L, 1L,
1L, 2L, 4L, 2L, 2L, 2L, -1L, -2L, -1L, -2L, 1L, -1L, 2L, 3L,
-2L, 3L, 2L, 1L, 2L, 2L, -1L, 2L, 2L, 2L, -2L, 2L, -3L, -1L,
-1L, -2L, -2L, -2L, -3L, -2L, -2L, -2L, -1L, 3L, -1L, 2L, -2L,
2L, -2L, 2L, 1L, -2L, 3L, -2L, 2L, 1L, -2L, -2L, -2L, -2L, 1L,
-1L, 2L, -2L, 2L, -2L, -1L, 1L, 1L, 1L, -2L, -2L, -2L, -2L, -3L,
-3L, -2L, 2L, -2L, 1L, -1L, 2L, 2L, -2L, 2L, 2L, -2L, 2L, -2L,
2L, 4L, 4L, -2L, -2L, -2L, 2L, -3L, -3L, 1L, -3L, 1L, 3L, -1L,
2L, -2L, -3L, -3L, -1L, -2L, 2L, -1L, 3L, -3L, 2L, 2L, -2L, 1L,
2L, 2L, -1L, -3L, -2L, 2L, -3L, -1L, -1L, 1L, -3L, -3L, 2L, -3L,
-3L, -3L, -2L, -2L, -2L, -2L, -2L, 1L, 2L, 1L, -2L, 1L, -2L,
-2L, -2L, 2L, -2L, 1L, 1L, -3L, -2L, -2L, 2L, -2L, 2L, 1L, -2L,
-2L, -2L, 1L, -3L, 2L, 1L, 2L, 3L, -3L, -3L, -2L, -2L, -2L, -2L,
-2L, -1L, -2L, -2L, 2L, 3L, 3L, 1L, -1L, 1L, -2L, -2L, 2L, 2L,
2L, 2L, -2L, 1L, 1L, -2L, 1L, -1L, 2L, -2L, -1L, 2L, -4L, -2L,
-3L, -2L, -2L, 1L, -1L, 2L, 4L, 4L, 1L, 1L, 3L, -3L, -1L, -1L,
2L, 2L, -2L, -2L, -2L, 2L, -2L, 3L, -2L, 3L, -2L, 2L, 2L, -2L,
-2L, -1L, -2L, -2L, 3L, -2L, 2L, 1L, 2L, 2L, -2L, -1L, -2L, -2L,
-2L, 3L, -2L, 2L, -3L, 2L, -2L, -2L, -3L, 2L), n = c(102L, 99L,
82L, 60L, 45L, 39L, 36L, 23L, 22L, 21L, 19L, 18L, 18L, 17L, 16L,
16L, 15L, 15L, 15L, 14L, 14L, 13L, 13L, 13L, 12L, 12L, 12L, 11L,
11L, 10L, 10L, 10L, 9L, 9L, 9L, 9L, 9L, 9L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), nr = c(-102, 99, 82, -60, 45,
39, 36, 23, -22, -21, 19, -18, -18, 17, 16, 16, -15, 15, -15,
-14, -14, 13, -13, 13, -12, 12, -12, 11, 11, -10, -10, 10, -9,
9, 9, -9, 9, -9, -8, 8, -8, -8, -8, -8, 8, 7, -7, 7, 7, -7, -7,
-7, 7, 7, -7, -7, 6, -6, -6, 6, -6, -6, -6, -6, -6, -6, -6, 5,
-5, -5, -5, 5, 5, 5, -5, 5, 5, -5, 5, -5, -5, -5, 4, -4, 4, 4,
4, 4, -4, -4, 4, -4, 4, 4, 4, -4, -4, 4, -4, 4, 4, 4, -4, 4,
-4, -4, -4, 4, 3, 3, 3, 3, -3, -3, 3, 3, -3, 3, 3, -3, -3, -3,
3, -3, -3, -3, -3, 3, 3, -3, -3, -3, -3, 3, 3, 3, 3, -3, 3, -3,
3, 3, 3, 3, 3, -3, -3, 2, -2, -2, 2, 2, 2, -2, 2, 2, -2, -2,
2, 2, -2, -2, -2, -2, 2, -2, 2, 2, -2, -2, 2, 2, 2, -2, -2, 2,
-2, -2, 2, -2, 2, 2, 2, 2, 2, -2, -2, -2, 2, 2, 2, 2, -2, 2,
2, 2, 2, 2, -2, -2, 2, -2, -2, -2, -2, -2, 2, 2, 2, 2, -2, -2,
2, -2, -2, -2, -2, 2, -2, 2, -2, -2, -2, 2, 2, 2, 2, 2, 2, 2,
-2, 2, -2, -2, -2, 2, 2, -2, -2, -2, -2, -2, -2, 2, 2, 2, -2,
-2, 2, -2, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, -1, -1,
1, 1, 1, 1, -1, 1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1,
-1, 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1,
1, 1, 1, 1, 1, -1, 1, 1, 1, -1, 1, -1, -1, -1, -1, -1, -1, -1,
-1, -1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1,
-1, -1, -1, 1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1,
-1, -1, -1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, 1,
-1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, -1, -1, -1,
1, -1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1,
-1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1,
-1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, 1, 1, -1, -1, -1, 1,
-1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1,
1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1,
-1, 1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, -1,
1, 1, -1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1,
-1, 1, -1, 1, 1, 1, 1, -1, -1, -1, -1, -1, 1, -1, 1, -1, 1, -1,
-1, -1, 1)), .Names = c("word1", "word2", "score", "n", "nr"), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -531L))