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Random username (+other useful info) generator
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README.md

Random names

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The package provides a programmatic interface to the Random Names API and returns 'sample' user data including fake first/last names, emails, SSNs, addresses, avatars and more. Search queries can be further filtered by gender and nationality.

Installation

install.packages("randNames")

or for the development version

devtools::install_github("karthik/randNames")

It queries a random name API and returns a whole bunch of useful fields.

library(dplyr)
library(randNames)
20 %>%
  rand_names %>%
  select(first = name.first, last = name.last)
#> Source: local data frame [20 x 2]
#> 
#>       first        last
#>       (chr)       (chr)
#> 1     nalan    demirbaş
#> 2  danielle        lord
#> 3    nurdan     sepetçi
#> 4     julie       miles
#> 5     vedat     akyürek
#> 6     doris     jimenez
#> 7    cícero       pinto
#> 8  salvador      brooks
#> 9   florian    leclercq
#> 10    wyatt      harris
#> 11 caroline christensen
#> 12  علی رضا     نكو نظر
#> 13    megan    mitchell
#> 14  anthony       ennis
#> 15    bryan        cook
#> 16   jessie      tucker
#> 17      mia        ryan
#> 18     luis     legrand
#> 19   iolene     barbosa
#> 20     line       david

Filter by nationality

15 %>% 
# Available nationalities: AU, BR, CA, CH, DE, DK, ES, FI, FR, GB, IE, IR, NL, NZ, TR, US
# You can specify multiple nationalities. e.g. "gb,us"
  rand_names(nationality = "GB") %>%  
  select(name.first, name.last)
#> Source: local data frame [15 x 2]
#> 
#>    name.first name.last
#>         <chr>     <chr>
#> 1       emily    brooks
#> 2     lillian   stanley
#> 3      gerald henderson
#> 4      alison   gilbert
#> 5       henry   simpson
#> 6      albert robertson
#> 7       nolan  reynolds
#> 8       sarah    palmer
#> 9       molly rodriquez
#> 10      peter   walters
#> 11   benjamin    larson
#> 12     sheryl     payne
#> 13      eliza       kim
#> 14       kent mitchelle
#> 15     tyrone    holmes

Filter by gender

library(randNames)
15 %>% 
  rand_names(gender = "female") %>% 
  select(name.first, name.last)
#> Source: local data frame [15 x 2]
#> 
#>    name.first       name.last
#>         <chr>           <chr>
#> 1     abigail           price
#> 2       sofia         ylitalo
#> 3      marika           dobbe
#> 4        ella        andersen
#> 5    fransien van plateringen
#> 6      séléna          dubois
#> 7       tansu          potman
#> 8       megan        bouchard
#> 9       lotta          kallio
#> 10       lily        williams
#> 11      anaïs         leclerc
#> 12       iida           kokko
#> 13      laura       rodriguez
#> 14        غزل           پارسا
#> 15       emma         douglas

Set seed

15 %>% 
  rand_names(seed = 'foobar') %>% 
  select(name.first, name.last)
#> Source: local data frame [15 x 2]
#> 
#>    name.first  name.last
#>         <chr>      <chr>
#> 1       becky       sims
#> 2      amelia   anderson
#> 3       vilho   lampinen
#> 4      maëlle     robert
#> 5      kasper       palo
#> 6       macit    kılıççı
#> 7      alexis     walker
#> 8        cléa   rousseau
#> 9      allert    thielen
#> 10     jasper         li
#> 11      çetin       adan
#> 12        ray cunningham
#> 13      lewis     morris
#> 14       yann      roche
#> 15       elli   niskanen

Additional fields beyond first and last name

gender  
email  
registered"        
dob  
phone  
cell  
nat  
name.title  
name.first       
name.last  
location.street  
location.city  
location.state  
location.postcode  
login.username"    
login.password  
login.salt  
login.md5  
login.sha1  
login.sha256  
id.name  
id.value  
picture.large  
picture.medium     
picture.thumbnail 
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