A collection of functions to make R work at BHHI easier.
bhhitools simplifies downloading data from REDCap and running Stata
code from R.
You can install bhhitools from GitHub with:
# install.packages("remotes")
remotes::install_github("ucsf-bhhi/bhhitools")bhhitools can download data from REDCap and automatically convert
categorical variables to factor variables while leaving text fields
alone. (Note: All data below is randomly generated and does not
correspond to any real person.)
library(bhhitools)
bhhi_rc_read("BHHITOOLS_DEMO")
#> # A tibble: 103 × 35
#> record_id record_id_cf6e98 first_name last_name address dob age
#> <int> <chr> <chr> <chr> <chr> <date> <chr>
#> 1 1 <NA> Fulton Corkery 351 7th S… 2010-11-05 12
#> 2 2 <NA> Buck Ankunding 745 9th S… 1959-08-23 63
#> 3 3 <NA> Madelynn Witting 140 Main … 1981-01-16 42
#> 4 4 <NA> Parlee Macejkovic 286 7th S… 1990-03-26 33
#> 5 5 <NA> Eliezer Brakus 361 8th S… 1951-05-24 72
#> 6 6 <NA> Jermain Jerde 405 4th S… 1969-11-25 53
#> 7 7 <NA> Georgie Brown 461 4th S… 1970-12-28 52
#> 8 8 <NA> Armani Schamberger 123 3rd S… 1983-06-24 40
#> 9 9 <NA> Watson Hettinger 410 3rd S… 1984-04-15 39
#> 10 10 <NA> Rosia Hettinger 344 3rd S… 1962-02-10 61
#> # ℹ 93 more rows
#> # ℹ 28 more variables: ethnicity <fct>, race <fct>, sex <fct>, height <dbl>,
#> # weight <int>, bmi <chr>, comments <chr>, venue <fct>,
#> # gender_identity___0 <lgl>, gender_identity___1 <lgl>,
#> # gender_identity___2 <lgl>, yes_no <fct>, true_false <fct>,
#> # demographics_complete <fct>, second_yes_no <fct>, date_dmy <date>,
#> # date_mdy <date>, date_ymd <date>, datetime_dmy_hm <dttm>, …bhhitools also makes it easy to securely store API tokens in your
operating system credential vault:
bhhi_store_token("EXAMPLE_TOKEN")