nicknameR facilitates matching common English first names to common nicknames, a frequent problem when dealing with any name merging. The primary function returns a long or wide dataframe of names and nicknames. The function also allows on the fly formatting of the names. There are 580 unique names and 671 unique nicknames in the data.
The names data come from this GitHub repository: https://github.com/onyxrev/common_nickname_csv
Install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("jmccrain/nicknameR")The function nicknamer results in a dataframe formatted base on the
parameters format, transform, reverse, and opt_function.
library(nicknameR)
# standard long dataframe
names <- nicknamer()
dplyr::glimpse(names)
#> Rows: 1,431
#> Columns: 2
#> $ name <chr> "Aaron", "Aaron", "Aaron", "Abel", "Abel", "Abel", "Abel",...
#> $ nickname <chr> "Erin", "Ron", "Ronnie", "Ab", "Abe", "Eb", "Ebbie", "Ab",...
length(unique(names$name))
#> [1] 580
length(unique(names$nickname))
#> [1] 671The default output is a long dataframe, with one row per name-nickname combination. In other words, both names and nicknames will be duplicated in each column, such as Alex being a nickname for Alexander or Alexandra.
Another option is to convert the output a wide format, using the
format parameter. You can also transform the strings to either full
uppercase or full lower case with transform.
# wide dataframe transformed to lower case
names.wide <- nicknamer(format="wide", transform = "to_lower")
head(names.wide)
#> # A tibble: 6 x 17
#> # Groups: name [6]
#> name nickname_1 nickname_2 nickname_3 nickname_4 nickname_5 nickname_6
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 aaron erin ron ronnie <NA> <NA> <NA>
#> 2 abel ab abe eb ebbie <NA> <NA>
#> 3 abiel ab <NA> <NA> <NA> <NA> <NA>
#> 4 abig~ abby gail nabby <NA> <NA> <NA>
#> 5 abner ab <NA> <NA> <NA> <NA> <NA>
#> 6 abra~ ab abe <NA> <NA> <NA> <NA>
#> # ... with 10 more variables: nickname_7 <chr>, nickname_8 <chr>,
#> # nickname_9 <chr>, nickname_10 <chr>, nickname_11 <chr>, nickname_12 <chr>,
#> # nickname_13 <chr>, nickname_14 <chr>, nickname_15 <chr>, nickname_16 <chr>If you instead want to use the nicknames as the specific rows, you can
set reverse to TRUE. Now there will be one row per nickname, so the
name Alex will now have one row with two full names associated with it
(Alexander and Alexandra).
# wide dataframe with nickname as the row
names.wide <- nicknamer(format="wide", transform = "to_lower", reverse=T)Finally, the opt_function parameter allows you to pass any custom
function to resulting dataframe. This transforms each name and nickname
column.:
# optional function applied to names:
short.names <- nicknamer(
format="wide",
transform = "to_lower",
opt_function = function(x) { str_sub(x, 1, 3) }
)
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