dpjr comes bundled with various data files in its `inst/extdata` directory. This function make them easy to access.
Examples
# return a list of all the files in the package
dpjr_data()
#> [1] "JCUSH.txt"
#> [2] "Video_SPSS.sav"
#> [3] "authors2_fwf.txt"
#> [4] "authors_count_fwf.txt"
#> [5] "authors_fwf.txt"
#> [6] "badpenguins.rds"
#> [7] "bcferries_2021.pdf"
#> [8] "canpop.csv"
#> [9] "census2021firstresultsenglandwales1.xlsx"
#> [10] "cr25"
#> [11] "date.xlsx"
#> [12] "gapminder.csv"
#> [13] "intl_tuition_fees_bc.xlsx"
#> [14] "lahman_2020.zip"
#> [15] "lfs_canada_employment.rds"
#> [16] "mpg.csv"
#> [17] "mtcars.csv"
#> [18] "noc_table.rds"
#> [19] "nycflights13_sql.zip"
#> [20] "penguin_summary.pdf"
#> [21] "penguins.csv"
#> [22] "penguins.dta"
#> [23] "penguins.sas"
#> [24] "penguins.sav"
#> [25] "penguins_fwf.txt"
#> [26] "penguins_fwf_code.txt"
#> [27] "penguins_labelled.xlsx"
#> [28] "penguins_spss_output.xlsx"
#> [29] "seph_naics721_bc_sal.rds"
#> [30] "us_bls_employment_2010-2020.csv"
#
# return the full path of the named file
dpjr_data("mpg.csv")
#> [1] "/home/runner/work/_temp/Library/dpjr/extdata/mpg.csv"
#
# return the head (first 6 rows) of the named file
head(read.csv(dpjr_data("mpg.csv")))
#> manufacturer model displ year cyl trans drv cty hwy fl class
#> 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact
#> 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact
#> 3 audi a4 2.0 2008 4 manual(m6) f 20 31 p compact
#> 4 audi a4 2.0 2008 4 auto(av) f 21 30 p compact
#> 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact
#> 6 audi a4 2.8 1999 6 manual(m5) f 18 26 p compact