Nothing
R/person-provider-en_GB.R
In charlatan: Make Fake Data
# modified from the python library faker:
# https://github.com/joke2k/faker/blob/master/faker/providers/person/en_GB/__init__.py
person_formats_en_gb <- c(
"{{first_names_male}} {{last_names}}",
"{{first_names_male}} {{last_names}}",
"{{first_names_male}} {{last_names}}",
"{{first_names_male}} {{last_names}}",
"{{first_names_male}} {{last_names1}}-{{last_names2}}",
"{{first_names_female}} {{last_names}}",
"{{first_names_female}} {{last_names}}",
"{{first_names_female}} {{last_names}}",
"{{first_names_female}} {{last_names}}",
"{{first_names_female}} {{last_names1}}-{{last_names2}}",
"{{prefixes_male}} {{first_names_male}} {{last_names}}",
"{{prefixes_female}} {{first_names_female}} {{last_names}}",
"{{prefixes_male}} {{first_names_male}} {{last_names}}",
"{{prefixes_female}} {{first_names_female}} {{last_names}}"
)
person_first_names_male_en_gb <- c(
"David", "Paul", "Christopher", "Thomas", "John", "Mark", "James",
"Stephen", "Andrew", "Jack", "Michael", "Daniel", "Peter", "Richard",
"Matthew", "Robert", "Ryan", "Joshua", "Alan", "Ian", "Simon", "Luke",
"Samuel", "Jordan", "Anthony", "Adam", "Lee", "Alexander", "William",
"Kevin", "Darren", "Benjamin", "Philip", "Gary", "Joseph", "Brian",
"Steven", "Liam", "Keith", "Martin", "Jason", "Jonathan", "Jake",
"Graham", "Nicholas", "Craig", "George", "Colin", "Neil", "Lewis",
"Nigel", "Oliver", "Timothy", "Stuart", "Kenneth", "Raymond", "Jamie",
"Nathan", "Geoffrey", "Connor", "Terence", "Trevor", "Adrian", "Harry",
"Malcolm", "Scott", "Callum", "Wayne", "Aaron", "Barry", "Ashley",
"Bradley", "Patrick", "Gareth", "Jacob", "Sean", "Kieran", "Derek",
"Carl", "Dean", "Charles", "Sam", "Shaun", "Ben", "Roger", "Mohammed",
"Leslie", "Ronald", "Kyle", "Clive", "Edward", "Antony", "Jeremy",
"Justin", "Jeffrey", "Christian", "Roy", "Karl", "Alex", "Gordon",
"Dominic", "Joe", "Marc", "Reece", "Dennis", "Russell", "Gavin", "Rhys",
"Phillip", "Allan", "Robin", "Charlie", "Gerald", "Ross", "Francis",
"Eric", "Julian", "Bernard", "Dale", "Donald", "Damian", "Frank",
"Shane", "Cameron", "Norman", "Duncan", "Louis", "Frederick", "Tony",
"Howard", "Conor", "Douglas", "Garry", "Elliot", "Marcus", "Arthur",
"Vincent", "Max", "Mathew", "Abdul", "Henry", "Martyn", "Ricky",
"Leonard", "Lawrence", "Glen", "Mitchell", "Gerard", "Gregory", "Iain",
"Billy", "Bryan", "Joel", "Clifford", "Josh", "Leon", "Stewart",
"Mohammad", "Dylan", "Graeme", "Terry", "Guy", "Elliott", "Stanley",
"Danny", "Brandon", "Victor", "Toby", "Hugh", "Mohamed", "Brett",
"Albert", "Tom", "Declan", "Maurice", "Glenn", "Leigh", "Denis",
"Damien", "Bruce", "Jay", "Owen"
)
person_first_names_female_en_gb <- c(
"Susan", "Sarah", "Rebecca", "Linda", "Julie", "Claire", "Laura",
"Lauren", "Christine", "Karen", "Nicola", "Gemma", "Jessica",
"Margaret", "Jacqueline", "Emma", "Charlotte", "Janet", "Deborah",
"Lisa", "Hannah", "Patricia", "Tracey", "Joanne", "Sophie", "Carol",
"Jane", "Michelle", "Victoria", "Amy", "Elizabeth", "Helen", "Samantha",
"Emily", "Mary", "Diane", "Rachel", "Anne", "Sharon", "Ann", "Tracy",
"Amanda", "Jennifer", "Chloe", "Angela", "Louise", "Katie", "Lucy",
"Barbara", "Alison", "Sandra", "Caroline", "Clare", "Kelly", "Bethany",
"Gillian", "Natalie", "Jade", "Pauline", "Megan", "Elaine", "Alice",
"Lesley", "Catherine", "Hayley", "Pamela", "Danielle", "Holly", "Wendy",
"Abigail", "Valerie", "Olivia", "Jean", "Dawn", "Donna", "Stephanie",
"Leanne", "Kathleen", "Natasha", "Denise", "Sally", "Katherine",
"Georgia", "Maureen", "Maria", "Zoe", "Judith", "Kerry", "Debra",
"Melanie", "Stacey", "Eleanor", "Paula", "Shannon", "Sheila", "Joanna",
"Paige", "Janice", "Lorraine", "Georgina", "Lynn", "Andrea", "Suzanne",
"Nicole", "Yvonne", "Chelsea", "Lynne", "Anna", "Kirsty", "Shirley",
"Alexandra", "Marion", "Beverley", "Melissa", "Rosemary", "Kimberley",
"Carole", "Fiona", "Kate", "Joan", "Marie", "Jenna", "Marilyn", "Jodie",
"June", "Grace", "Mandy", "Rachael", "Lynda", "Tina", "Kathryn",
"Molly", "Jayne", "Amber", "Marian", "Jasmine", "Brenda", "Sara",
"Kayleigh", "Teresa", "Harriet", "Julia", "Ashleigh", "Heather", "Kim",
"Ruth", "Jemma", "Carly", "Leah", "Eileen", "Francesca", "Naomi",
"Hilary", "Abbie", "Sylvia", "Katy", "Irene", "Cheryl", "Rosie",
"Dorothy", "Aimee", "Vanessa", "Ellie", "Frances", "Sian", "Josephine",
"Gail", "Jill", "Lydia", "Joyce", "Charlene", "Hollie", "Hazel",
"Annette", "Bethan", "Amelia", "Beth", "Rita", "Geraldine", "Diana",
"Lindsey", "Carolyn"
)
person_first_names_en_gb <- c(person_first_names_male_en_gb, person_first_names_female_en_gb)
person_last_names_en_gb <- list(
Savage = 0.04,
Winter = 0.03,
Metcalfe = 0.03,
Harper = 0.06,
Burgess = 0.06,
Bailey = 0.15,
Potts = 0.03,
Boyle = 0.03,
Brown = 0.51,
Jennings = 0.05,
Payne = 0.09,
Day = 0.09,
Holland = 0.07,
Higgins = 0.05,
Rhodes = 0.04,
Hancock = 0.04,
Howells = 0.03,
Fowler = 0.04,
Sims = 0.03,
Thomas = 0.35,
Parker = 0.17,
Bentley = 0.04,
Barnett = 0.05,
Manning = 0.03,
Collier = 0.03,
Holloway = 0.03,
Hartley = 0.04,
George = 0.05,
Tomlinson = 0.04,
Howard = 0.09,
Long = 0.06,
Farmer = 0.03,
Collins = 0.15,
Rice = 0.03,
Townsend = 0.04,
Rees = 0.07,
Bruce = 0.03,
Hammond = 0.05,
Ford = 0.09,
Tucker = 0.05,
Wallis = 0.03,
Hamilton = 0.06,
Ferguson = 0.04,
Hooper = 0.03,
Francis = 0.07,
Reeves = 0.04,
Barlow = 0.04,
Short = 0.04,
Cunningham = 0.05,
Hopkins = 0.06,
Nicholson = 0.06,
Archer = 0.04,
Green = 0.25,
Glover = 0.04,
Gibson = 0.09,
Spencer = 0.08,
Warner = 0.04,
Webb = 0.12,
Whitehouse = 0.03,
Dean = 0.06,
Griffiths = 0.16,
Clark = 0.2,
Hardy = 0.05,
Iqbal = 0.03,
Baldwin = 0.04,
"O'Neill" = 0.06,
Blake = 0.05,
Lees = 0.03,
Harvey = 0.1,
Clarke = 0.24,
Daniels = 0.04,
Browne = 0.03,
Macdonald = 0.04,
Kirk = 0.04,
Khan = 0.14,
Davidson = 0.05,
Dale = 0.04,
Sanders = 0.04,
Wilkins = 0.04,
Connor = 0.03,
Daly = 0.03,
Lane = 0.06,
Kennedy = 0.06,
Bray = 0.03,
Burrows = 0.04,
Hayes = 0.07,
Wyatt = 0.03,
Gould = 0.03,
Dyer = 0.03,
Nash = 0.05,
Bryan = 0.03,
Pope = 0.03,
Fraser = 0.04,
Steele = 0.03,
Walsh = 0.09,
Wade = 0.04,
Marsden = 0.03,
Humphries = 0.03,
"O'Brien" = 0.08,
Thompson = 0.28,
Lord = 0.03,
Coleman = 0.06,
Jarvis = 0.04,
Noble = 0.03,
Williamson = 0.06,
Carpenter = 0.03,
Gardner = 0.06,
Farrell = 0.04,
Clayton = 0.05,
Akhtar = 0.05,
Gallagher = 0.05,
Skinner = 0.04,
Birch = 0.04,
Kay = 0.04,
Barrett = 0.07,
Bates = 0.06,
Lucas = 0.04,
"O'Connor" = 0.06,
Chamberlain = 0.03,
Chapman = 0.12,
Ryan = 0.08,
Thorpe = 0.04,
Lawson = 0.04,
Howell = 0.04,
Martin = 0.23,
Kelly = 0.16,
Dobson = 0.04,
Stevens = 0.1,
Brennan = 0.04,
Lloyd = 0.11,
Quinn = 0.05,
Morton = 0.04,
Wilson = 0.35,
Barnes = 0.11,
Henry = 0.03,
Smith = 1.15,
Pritchard = 0.05,
Phillips = 0.18,
Dixon = 0.1,
Sharpe = 0.03,
Robertson = 0.07,
White = 0.27,
Bird = 0.06,
Abbott = 0.04,
Kirby = 0.04,
Hussain = 0.11,
Barber = 0.05,
Harris = 0.25,
Doyle = 0.05,
Jordan = 0.05,
Burns = 0.06,
Hodgson = 0.06,
Atkins = 0.04,
Stokes = 0.05,
Rogers = 0.12,
Parkes = 0.03,
Brookes = 0.04,
Herbert = 0.03,
Gordon = 0.05,
Kemp = 0.05,
Webster = 0.07,
Sinclair = 0.03,
McLean = 0.03,
Saunders = 0.09,
Stephens = 0.05,
Newton = 0.07,
Potter = 0.05,
Storey = 0.03,
Stanley = 0.04,
Turnbull = 0.03,
Duncan = 0.03,
Rose = 0.08,
Mills = 0.11,
Sheppard = 0.03,
Butcher = 0.03,
Fry = 0.03,
Ross = 0.06,
Shepherd = 0.06,
Goodwin = 0.05,
Holt = 0.05,
Haynes = 0.04,
Cook = 0.15,
Ward = 0.21,
Godfrey = 0.03,
Stone = 0.07,
Dodd = 0.04,
Parsons = 0.07,
Ingram = 0.03,
Nixon = 0.03,
Evans = 0.39,
Hargreaves = 0.03,
Owen = 0.11,
Chan = 0.03,
Connolly = 0.03,
Charlton = 0.03,
Middleton = 0.04,
Hyde = 0.03,
Patel = 0.24,
Owens = 0.03,
Lamb = 0.04,
Palmer = 0.11,
Cooper = 0.22,
McCarthy = 0.06,
Black = 0.04,
Dickinson = 0.04,
Gilbert = 0.05,
Leach = 0.03,
North = 0.03,
Byrne = 0.06,
Frost = 0.05,
Simmons = 0.04,
Matthews = 0.11,
Alexander = 0.04,
Ahmed = 0.1,
Gibbons = 0.03,
Stevenson = 0.05,
Rowley = 0.03,
Miles = 0.05,
Hanson = 0.03,
Bolton = 0.03,
Craig = 0.03,
Ali = 0.12,
Carroll = 0.04,
Allan = 0.03,
Sanderson = 0.03,
Fletcher = 0.1,
Burton = 0.08,
Oliver = 0.07,
Davison = 0.04,
Douglas = 0.04,
Field = 0.04,
Pickering = 0.03,
Pugh = 0.04,
Rowe = 0.05,
Mahmood = 0.03,
Sykes = 0.03,
Crawford = 0.03,
Williams = 0.66,
Parkin = 0.03,
Patterson = 0.04,
Power = 0.03,
Price = 0.17,
Murphy = 0.14,
Hale = 0.03,
Nicholls = 0.06,
Hall = 0.25,
Jones = 0.94,
Hughes = 0.26,
Stephenson = 0.05,
Morley = 0.04,
Knight = 0.11,
Kerr = 0.03,
Heath = 0.04,
Pollard = 0.03,
Lowe = 0.07,
"O'Sullivan" = 0.04,
Buckley = 0.05,
Bond = 0.05,
Dennis = 0.03,
Lewis = 0.25,
Weston = 0.04,
Joyce = 0.03,
Reynolds = 0.09,
Bishop = 0.06,
Norris = 0.04,
Barry = 0.03,
Whittaker = 0.04,
Carey = 0.03,
Hill = 0.22,
Kent = 0.04,
Ashton = 0.04,
Wilkinson = 0.13,
Powell = 0.12,
Henderson = 0.06,
Freeman = 0.06,
Dunn = 0.07,
Kaur = 0.09,
French = 0.04,
Parry = 0.06,
Walton = 0.06,
Fisher = 0.1,
Naylor = 0.03,
Duffy = 0.04,
Humphreys = 0.04,
Randall = 0.03,
Bevan = 0.03,
Doherty = 0.03,
Moore = 0.21,
Armstrong = 0.07,
Sullivan = 0.05,
Swift = 0.03,
Pearce = 0.09,
Tyler = 0.03,
Bradshaw = 0.04,
Allen = 0.19,
Mellor = 0.03,
Whitehead = 0.05,
Jackson = 0.24,
Grant = 0.07,
Fox = 0.09,
Wright = 0.28,
Anderson = 0.13,
Foster = 0.13,
Gibbs = 0.04,
Butler = 0.11,
Jenkins = 0.1,
John = 0.04,
Morrison = 0.04,
Talbot = 0.03,
Blackburn = 0.03,
Osborne = 0.05,
Flynn = 0.04,
Richards = 0.14,
Hurst = 0.03,
Bibi = 0.05,
Houghton = 0.03,
Johnson = 0.34,
Yates = 0.06,
Mistry = 0.03,
Donnelly = 0.03,
Parkinson = 0.04,
Thomson = 0.05,
Woods = 0.07,
Todd = 0.04,
Dawson = 0.08,
Hart = 0.07,
Graham = 0.1,
Berry = 0.07,
Willis = 0.05,
Miah = 0.04,
Brooks = 0.09,
Horton = 0.03,
Riley = 0.07,
Lambert = 0.05,
Waters = 0.04,
Lynch = 0.05,
Moss = 0.06,
Slater = 0.05,
Knowles = 0.04,
Benson = 0.03,
Adams = 0.13,
King = 0.2,
Davies = 0.48,
Richardson = 0.15,
Vincent = 0.03,
Holmes = 0.11,
Conway = 0.03,
Marshall = 0.14,
Faulkner = 0.03,
Garner = 0.03,
Booth = 0.08,
Harrison = 0.2,
Campbell = 0.11,
Cole = 0.08,
Goddard = 0.04,
Walters = 0.05,
Ellis = 0.13,
Edwards = 0.27,
Peters = 0.04,
Atkinson = 0.08,
Wood = 0.24,
Briggs = 0.04,
Elliott = 0.09,
Chandler = 0.03,
Hope = 0.03,
Hunter = 0.07,
Newman = 0.07,
Pratt = 0.03,
Rahman = 0.03,
Hicks = 0.04,
Cox = 0.14,
Reid = 0.07,
Morris = 0.21,
Banks = 0.04,
Myers = 0.03,
Mitchell = 0.16,
Davey = 0.04,
Peacock = 0.03,
Reed = 0.07,
Carter = 0.15,
Miller = 0.14,
Perkins = 0.04,
Read = 0.05,
Hilton = 0.03,
Moran = 0.03,
Welch = 0.03,
Vaughan = 0.04,
Clements = 0.03,
Griffin = 0.05,
Russell = 0.1,
"O'Donnell" = 0.03,
Hobbs = 0.03,
Marsh = 0.07,
Porter = 0.07,
Gill = 0.08,
Leonard = 0.03,
McKenzie = 0.03,
Thornton = 0.04,
Fitzgerald = 0.03,
Greenwood = 0.05,
Pearson = 0.1,
James = 0.19,
Coles = 0.03,
Roberts = 0.33,
Nelson = 0.05,
Forster = 0.03,
Gough = 0.03,
Mann = 0.05,
Law = 0.03,
Barker = 0.1,
Cartwright = 0.04,
Bradley = 0.08,
Sharp = 0.05,
Warren = 0.06,
Summers = 0.03,
Little = 0.04,
Perry = 0.08,
Fuller = 0.04,
West = 0.09,
Mason = 0.12,
Finch = 0.03,
Norton = 0.03,
Burke = 0.05,
Holden = 0.04,
Lee = 0.2,
Smart = 0.04,
Bull = 0.04,
Bryant = 0.04,
Gray = 0.12,
Watts = 0.08,
Brady = 0.03,
Baker = 0.2,
Barton = 0.05,
Davis = 0.17,
Baxter = 0.05,
Taylor = 0.53,
Carr = 0.07,
Wong = 0.04,
Cameron = 0.03,
Gardiner = 0.03,
Hawkins = 0.07,
Shaw = 0.15,
Wallace = 0.05,
Young = 0.16,
Shah = 0.06,
Gregory = 0.07,
Ball = 0.08,
Norman = 0.04,
Lawrence = 0.09,
Bowen = 0.04,
Wheeler = 0.05,
Bartlett = 0.04,
Sutton = 0.06,
Lyons = 0.03,
Hutchinson = 0.05,
Poole = 0.05,
Cooke = 0.06,
Franklin = 0.03,
Howe = 0.04,
Walker = 0.27,
Johnston = 0.05,
Austin = 0.05,
Chadwick = 0.03,
Bell = 0.15,
Wall = 0.04,
Woodward = 0.05,
Preston = 0.04,
Bennett = 0.16,
Murray = 0.1,
Begum = 0.13,
McDonald = 0.06,
Hudson = 0.07,
Cross = 0.06,
Singh = 0.13,
Howarth = 0.03,
Hewitt = 0.05,
Curtis = 0.06,
Harding = 0.07,
May = 0.05,
Wells = 0.07,
Giles = 0.03,
Watson = 0.17,
Nolan = 0.03,
Andrews = 0.09,
Hayward = 0.04,
Schofield = 0.04,
Hunt = 0.12,
Robson = 0.06,
Arnold = 0.05,
Morgan = 0.19,
Coates = 0.03,
Page = 0.07,
Simpson = 0.13,
Stewart = 0.09,
Robinson = 0.29,
Fleming = 0.03,
Scott = 0.18,
Chambers = 0.06,
Turner = 0.23,
Watkins = 0.0
)
person_prefixes_female_en_gb <- c("Mrs.", "Ms.", "Miss", "Dr.")
person_prefixes_male_en_gb <- c("Mr.", "Dr.")
person_en_gb <- list(
first_names = person_first_names_en_gb,
first_names_male = person_first_names_male_en_gb,
first_names_female = person_first_names_female_en_gb,
last_names = person_last_names_en_gb,
prefixes_female = person_prefixes_female_en_gb,
prefixes_male = person_prefixes_male_en_gb
)
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# modified from the python library faker:
# https://github.com/joke2k/faker/blob/master/faker/providers/person/en_GB/__init__.py
person_formats_en_gb <- c(
"{{first_names_male}} {{last_names}}",
"{{first_names_male}} {{last_names}}",
"{{first_names_male}} {{last_names}}",
"{{first_names_male}} {{last_names}}",
"{{first_names_male}} {{last_names1}}-{{last_names2}}",
"{{first_names_female}} {{last_names}}",
"{{first_names_female}} {{last_names}}",
"{{first_names_female}} {{last_names}}",
"{{first_names_female}} {{last_names}}",
"{{first_names_female}} {{last_names1}}-{{last_names2}}",
"{{prefixes_male}} {{first_names_male}} {{last_names}}",
"{{prefixes_female}} {{first_names_female}} {{last_names}}",
"{{prefixes_male}} {{first_names_male}} {{last_names}}",
"{{prefixes_female}} {{first_names_female}} {{last_names}}"
)
person_first_names_male_en_gb <- c(
"David", "Paul", "Christopher", "Thomas", "John", "Mark", "James",
"Stephen", "Andrew", "Jack", "Michael", "Daniel", "Peter", "Richard",
"Matthew", "Robert", "Ryan", "Joshua", "Alan", "Ian", "Simon", "Luke",
"Samuel", "Jordan", "Anthony", "Adam", "Lee", "Alexander", "William",
"Kevin", "Darren", "Benjamin", "Philip", "Gary", "Joseph", "Brian",
"Steven", "Liam", "Keith", "Martin", "Jason", "Jonathan", "Jake",
"Graham", "Nicholas", "Craig", "George", "Colin", "Neil", "Lewis",
"Nigel", "Oliver", "Timothy", "Stuart", "Kenneth", "Raymond", "Jamie",
"Nathan", "Geoffrey", "Connor", "Terence", "Trevor", "Adrian", "Harry",
"Malcolm", "Scott", "Callum", "Wayne", "Aaron", "Barry", "Ashley",
"Bradley", "Patrick", "Gareth", "Jacob", "Sean", "Kieran", "Derek",
"Carl", "Dean", "Charles", "Sam", "Shaun", "Ben", "Roger", "Mohammed",
"Leslie", "Ronald", "Kyle", "Clive", "Edward", "Antony", "Jeremy",
"Justin", "Jeffrey", "Christian", "Roy", "Karl", "Alex", "Gordon",
"Dominic", "Joe", "Marc", "Reece", "Dennis", "Russell", "Gavin", "Rhys",
"Phillip", "Allan", "Robin", "Charlie", "Gerald", "Ross", "Francis",
"Eric", "Julian", "Bernard", "Dale", "Donald", "Damian", "Frank",
"Shane", "Cameron", "Norman", "Duncan", "Louis", "Frederick", "Tony",
"Howard", "Conor", "Douglas", "Garry", "Elliot", "Marcus", "Arthur",
"Vincent", "Max", "Mathew", "Abdul", "Henry", "Martyn", "Ricky",
"Leonard", "Lawrence", "Glen", "Mitchell", "Gerard", "Gregory", "Iain",
"Billy", "Bryan", "Joel", "Clifford", "Josh", "Leon", "Stewart",
"Mohammad", "Dylan", "Graeme", "Terry", "Guy", "Elliott", "Stanley",
"Danny", "Brandon", "Victor", "Toby", "Hugh", "Mohamed", "Brett",
"Albert", "Tom", "Declan", "Maurice", "Glenn", "Leigh", "Denis",
"Damien", "Bruce", "Jay", "Owen"
)
person_first_names_female_en_gb <- c(
"Susan", "Sarah", "Rebecca", "Linda", "Julie", "Claire", "Laura",
"Lauren", "Christine", "Karen", "Nicola", "Gemma", "Jessica",
"Margaret", "Jacqueline", "Emma", "Charlotte", "Janet", "Deborah",
"Lisa", "Hannah", "Patricia", "Tracey", "Joanne", "Sophie", "Carol",
"Jane", "Michelle", "Victoria", "Amy", "Elizabeth", "Helen", "Samantha",
"Emily", "Mary", "Diane", "Rachel", "Anne", "Sharon", "Ann", "Tracy",
"Amanda", "Jennifer", "Chloe", "Angela", "Louise", "Katie", "Lucy",
"Barbara", "Alison", "Sandra", "Caroline", "Clare", "Kelly", "Bethany",
"Gillian", "Natalie", "Jade", "Pauline", "Megan", "Elaine", "Alice",
"Lesley", "Catherine", "Hayley", "Pamela", "Danielle", "Holly", "Wendy",
"Abigail", "Valerie", "Olivia", "Jean", "Dawn", "Donna", "Stephanie",
"Leanne", "Kathleen", "Natasha", "Denise", "Sally", "Katherine",
"Georgia", "Maureen", "Maria", "Zoe", "Judith", "Kerry", "Debra",
"Melanie", "Stacey", "Eleanor", "Paula", "Shannon", "Sheila", "Joanna",
"Paige", "Janice", "Lorraine", "Georgina", "Lynn", "Andrea", "Suzanne",
"Nicole", "Yvonne", "Chelsea", "Lynne", "Anna", "Kirsty", "Shirley",
"Alexandra", "Marion", "Beverley", "Melissa", "Rosemary", "Kimberley",
"Carole", "Fiona", "Kate", "Joan", "Marie", "Jenna", "Marilyn", "Jodie",
"June", "Grace", "Mandy", "Rachael", "Lynda", "Tina", "Kathryn",
"Molly", "Jayne", "Amber", "Marian", "Jasmine", "Brenda", "Sara",
"Kayleigh", "Teresa", "Harriet", "Julia", "Ashleigh", "Heather", "Kim",
"Ruth", "Jemma", "Carly", "Leah", "Eileen", "Francesca", "Naomi",
"Hilary", "Abbie", "Sylvia", "Katy", "Irene", "Cheryl", "Rosie",
"Dorothy", "Aimee", "Vanessa", "Ellie", "Frances", "Sian", "Josephine",
"Gail", "Jill", "Lydia", "Joyce", "Charlene", "Hollie", "Hazel",
"Annette", "Bethan", "Amelia", "Beth", "Rita", "Geraldine", "Diana",
"Lindsey", "Carolyn"
)
person_first_names_en_gb <- c(person_first_names_male_en_gb, person_first_names_female_en_gb)
person_last_names_en_gb <- list(
Savage = 0.04,
Winter = 0.03,
Metcalfe = 0.03,
Harper = 0.06,
Burgess = 0.06,
Bailey = 0.15,
Potts = 0.03,
Boyle = 0.03,
Brown = 0.51,
Jennings = 0.05,
Payne = 0.09,
Day = 0.09,
Holland = 0.07,
Higgins = 0.05,
Rhodes = 0.04,
Hancock = 0.04,
Howells = 0.03,
Fowler = 0.04,
Sims = 0.03,
Thomas = 0.35,
Parker = 0.17,
Bentley = 0.04,
Barnett = 0.05,
Manning = 0.03,
Collier = 0.03,
Holloway = 0.03,
Hartley = 0.04,
George = 0.05,
Tomlinson = 0.04,
Howard = 0.09,
Long = 0.06,
Farmer = 0.03,
Collins = 0.15,
Rice = 0.03,
Townsend = 0.04,
Rees = 0.07,
Bruce = 0.03,
Hammond = 0.05,
Ford = 0.09,
Tucker = 0.05,
Wallis = 0.03,
Hamilton = 0.06,
Ferguson = 0.04,
Hooper = 0.03,
Francis = 0.07,
Reeves = 0.04,
Barlow = 0.04,
Short = 0.04,
Cunningham = 0.05,
Hopkins = 0.06,
Nicholson = 0.06,
Archer = 0.04,
Green = 0.25,
Glover = 0.04,
Gibson = 0.09,
Spencer = 0.08,
Warner = 0.04,
Webb = 0.12,
Whitehouse = 0.03,
Dean = 0.06,
Griffiths = 0.16,
Clark = 0.2,
Hardy = 0.05,
Iqbal = 0.03,
Baldwin = 0.04,
"O'Neill" = 0.06,
Blake = 0.05,
Lees = 0.03,
Harvey = 0.1,
Clarke = 0.24,
Daniels = 0.04,
Browne = 0.03,
Macdonald = 0.04,
Kirk = 0.04,
Khan = 0.14,
Davidson = 0.05,
Dale = 0.04,
Sanders = 0.04,
Wilkins = 0.04,
Connor = 0.03,
Daly = 0.03,
Lane = 0.06,
Kennedy = 0.06,
Bray = 0.03,
Burrows = 0.04,
Hayes = 0.07,
Wyatt = 0.03,
Gould = 0.03,
Dyer = 0.03,
Nash = 0.05,
Bryan = 0.03,
Pope = 0.03,
Fraser = 0.04,
Steele = 0.03,
Walsh = 0.09,
Wade = 0.04,
Marsden = 0.03,
Humphries = 0.03,
"O'Brien" = 0.08,
Thompson = 0.28,
Lord = 0.03,
Coleman = 0.06,
Jarvis = 0.04,
Noble = 0.03,
Williamson = 0.06,
Carpenter = 0.03,
Gardner = 0.06,
Farrell = 0.04,
Clayton = 0.05,
Akhtar = 0.05,
Gallagher = 0.05,
Skinner = 0.04,
Birch = 0.04,
Kay = 0.04,
Barrett = 0.07,
Bates = 0.06,
Lucas = 0.04,
"O'Connor" = 0.06,
Chamberlain = 0.03,
Chapman = 0.12,
Ryan = 0.08,
Thorpe = 0.04,
Lawson = 0.04,
Howell = 0.04,
Martin = 0.23,
Kelly = 0.16,
Dobson = 0.04,
Stevens = 0.1,
Brennan = 0.04,
Lloyd = 0.11,
Quinn = 0.05,
Morton = 0.04,
Wilson = 0.35,
Barnes = 0.11,
Henry = 0.03,
Smith = 1.15,
Pritchard = 0.05,
Phillips = 0.18,
Dixon = 0.1,
Sharpe = 0.03,
Robertson = 0.07,
White = 0.27,
Bird = 0.06,
Abbott = 0.04,
Kirby = 0.04,
Hussain = 0.11,
Barber = 0.05,
Harris = 0.25,
Doyle = 0.05,
Jordan = 0.05,
Burns = 0.06,
Hodgson = 0.06,
Atkins = 0.04,
Stokes = 0.05,
Rogers = 0.12,
Parkes = 0.03,
Brookes = 0.04,
Herbert = 0.03,
Gordon = 0.05,
Kemp = 0.05,
Webster = 0.07,
Sinclair = 0.03,
McLean = 0.03,
Saunders = 0.09,
Stephens = 0.05,
Newton = 0.07,
Potter = 0.05,
Storey = 0.03,
Stanley = 0.04,
Turnbull = 0.03,
Duncan = 0.03,
Rose = 0.08,
Mills = 0.11,
Sheppard = 0.03,
Butcher = 0.03,
Fry = 0.03,
Ross = 0.06,
Shepherd = 0.06,
Goodwin = 0.05,
Holt = 0.05,
Haynes = 0.04,
Cook = 0.15,
Ward = 0.21,
Godfrey = 0.03,
Stone = 0.07,
Dodd = 0.04,
Parsons = 0.07,
Ingram = 0.03,
Nixon = 0.03,
Evans = 0.39,
Hargreaves = 0.03,
Owen = 0.11,
Chan = 0.03,
Connolly = 0.03,
Charlton = 0.03,
Middleton = 0.04,
Hyde = 0.03,
Patel = 0.24,
Owens = 0.03,
Lamb = 0.04,
Palmer = 0.11,
Cooper = 0.22,
McCarthy = 0.06,
Black = 0.04,
Dickinson = 0.04,
Gilbert = 0.05,
Leach = 0.03,
North = 0.03,
Byrne = 0.06,
Frost = 0.05,
Simmons = 0.04,
Matthews = 0.11,
Alexander = 0.04,
Ahmed = 0.1,
Gibbons = 0.03,
Stevenson = 0.05,
Rowley = 0.03,
Miles = 0.05,
Hanson = 0.03,
Bolton = 0.03,
Craig = 0.03,
Ali = 0.12,
Carroll = 0.04,
Allan = 0.03,
Sanderson = 0.03,
Fletcher = 0.1,
Burton = 0.08,
Oliver = 0.07,
Davison = 0.04,
Douglas = 0.04,
Field = 0.04,
Pickering = 0.03,
Pugh = 0.04,
Rowe = 0.05,
Mahmood = 0.03,
Sykes = 0.03,
Crawford = 0.03,
Williams = 0.66,
Parkin = 0.03,
Patterson = 0.04,
Power = 0.03,
Price = 0.17,
Murphy = 0.14,
Hale = 0.03,
Nicholls = 0.06,
Hall = 0.25,
Jones = 0.94,
Hughes = 0.26,
Stephenson = 0.05,
Morley = 0.04,
Knight = 0.11,
Kerr = 0.03,
Heath = 0.04,
Pollard = 0.03,
Lowe = 0.07,
"O'Sullivan" = 0.04,
Buckley = 0.05,
Bond = 0.05,
Dennis = 0.03,
Lewis = 0.25,
Weston = 0.04,
Joyce = 0.03,
Reynolds = 0.09,
Bishop = 0.06,
Norris = 0.04,
Barry = 0.03,
Whittaker = 0.04,
Carey = 0.03,
Hill = 0.22,
Kent = 0.04,
Ashton = 0.04,
Wilkinson = 0.13,
Powell = 0.12,
Henderson = 0.06,
Freeman = 0.06,
Dunn = 0.07,
Kaur = 0.09,
French = 0.04,
Parry = 0.06,
Walton = 0.06,
Fisher = 0.1,
Naylor = 0.03,
Duffy = 0.04,
Humphreys = 0.04,
Randall = 0.03,
Bevan = 0.03,
Doherty = 0.03,
Moore = 0.21,
Armstrong = 0.07,
Sullivan = 0.05,
Swift = 0.03,
Pearce = 0.09,
Tyler = 0.03,
Bradshaw = 0.04,
Allen = 0.19,
Mellor = 0.03,
Whitehead = 0.05,
Jackson = 0.24,
Grant = 0.07,
Fox = 0.09,
Wright = 0.28,
Anderson = 0.13,
Foster = 0.13,
Gibbs = 0.04,
Butler = 0.11,
Jenkins = 0.1,
John = 0.04,
Morrison = 0.04,
Talbot = 0.03,
Blackburn = 0.03,
Osborne = 0.05,
Flynn = 0.04,
Richards = 0.14,
Hurst = 0.03,
Bibi = 0.05,
Houghton = 0.03,
Johnson = 0.34,
Yates = 0.06,
Mistry = 0.03,
Donnelly = 0.03,
Parkinson = 0.04,
Thomson = 0.05,
Woods = 0.07,
Todd = 0.04,
Dawson = 0.08,
Hart = 0.07,
Graham = 0.1,
Berry = 0.07,
Willis = 0.05,
Miah = 0.04,
Brooks = 0.09,
Horton = 0.03,
Riley = 0.07,
Lambert = 0.05,
Waters = 0.04,
Lynch = 0.05,
Moss = 0.06,
Slater = 0.05,
Knowles = 0.04,
Benson = 0.03,
Adams = 0.13,
King = 0.2,
Davies = 0.48,
Richardson = 0.15,
Vincent = 0.03,
Holmes = 0.11,
Conway = 0.03,
Marshall = 0.14,
Faulkner = 0.03,
Garner = 0.03,
Booth = 0.08,
Harrison = 0.2,
Campbell = 0.11,
Cole = 0.08,
Goddard = 0.04,
Walters = 0.05,
Ellis = 0.13,
Edwards = 0.27,
Peters = 0.04,
Atkinson = 0.08,
Wood = 0.24,
Briggs = 0.04,
Elliott = 0.09,
Chandler = 0.03,
Hope = 0.03,
Hunter = 0.07,
Newman = 0.07,
Pratt = 0.03,
Rahman = 0.03,
Hicks = 0.04,
Cox = 0.14,
Reid = 0.07,
Morris = 0.21,
Banks = 0.04,
Myers = 0.03,
Mitchell = 0.16,
Davey = 0.04,
Peacock = 0.03,
Reed = 0.07,
Carter = 0.15,
Miller = 0.14,
Perkins = 0.04,
Read = 0.05,
Hilton = 0.03,
Moran = 0.03,
Welch = 0.03,
Vaughan = 0.04,
Clements = 0.03,
Griffin = 0.05,
Russell = 0.1,
"O'Donnell" = 0.03,
Hobbs = 0.03,
Marsh = 0.07,
Porter = 0.07,
Gill = 0.08,
Leonard = 0.03,
McKenzie = 0.03,
Thornton = 0.04,
Fitzgerald = 0.03,
Greenwood = 0.05,
Pearson = 0.1,
James = 0.19,
Coles = 0.03,
Roberts = 0.33,
Nelson = 0.05,
Forster = 0.03,
Gough = 0.03,
Mann = 0.05,
Law = 0.03,
Barker = 0.1,
Cartwright = 0.04,
Bradley = 0.08,
Sharp = 0.05,
Warren = 0.06,
Summers = 0.03,
Little = 0.04,
Perry = 0.08,
Fuller = 0.04,
West = 0.09,
Mason = 0.12,
Finch = 0.03,
Norton = 0.03,
Burke = 0.05,
Holden = 0.04,
Lee = 0.2,
Smart = 0.04,
Bull = 0.04,
Bryant = 0.04,
Gray = 0.12,
Watts = 0.08,
Brady = 0.03,
Baker = 0.2,
Barton = 0.05,
Davis = 0.17,
Baxter = 0.05,
Taylor = 0.53,
Carr = 0.07,
Wong = 0.04,
Cameron = 0.03,
Gardiner = 0.03,
Hawkins = 0.07,
Shaw = 0.15,
Wallace = 0.05,
Young = 0.16,
Shah = 0.06,
Gregory = 0.07,
Ball = 0.08,
Norman = 0.04,
Lawrence = 0.09,
Bowen = 0.04,
Wheeler = 0.05,
Bartlett = 0.04,
Sutton = 0.06,
Lyons = 0.03,
Hutchinson = 0.05,
Poole = 0.05,
Cooke = 0.06,
Franklin = 0.03,
Howe = 0.04,
Walker = 0.27,
Johnston = 0.05,
Austin = 0.05,
Chadwick = 0.03,
Bell = 0.15,
Wall = 0.04,
Woodward = 0.05,
Preston = 0.04,
Bennett = 0.16,
Murray = 0.1,
Begum = 0.13,
McDonald = 0.06,
Hudson = 0.07,
Cross = 0.06,
Singh = 0.13,
Howarth = 0.03,
Hewitt = 0.05,
Curtis = 0.06,
Harding = 0.07,
May = 0.05,
Wells = 0.07,
Giles = 0.03,
Watson = 0.17,
Nolan = 0.03,
Andrews = 0.09,
Hayward = 0.04,
Schofield = 0.04,
Hunt = 0.12,
Robson = 0.06,
Arnold = 0.05,
Morgan = 0.19,
Coates = 0.03,
Page = 0.07,
Simpson = 0.13,
Stewart = 0.09,
Robinson = 0.29,
Fleming = 0.03,
Scott = 0.18,
Chambers = 0.06,
Turner = 0.23,
Watkins = 0.0
)
person_prefixes_female_en_gb <- c("Mrs.", "Ms.", "Miss", "Dr.")
person_prefixes_male_en_gb <- c("Mr.", "Dr.")
person_en_gb <- list(
first_names = person_first_names_en_gb,
first_names_male = person_first_names_male_en_gb,
first_names_female = person_first_names_female_en_gb,
last_names = person_last_names_en_gb,
prefixes_female = person_prefixes_female_en_gb,
prefixes_male = person_prefixes_male_en_gb
)
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