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Introduction

You imported your database, but now you might want to visualize some part of it.

There are a lot of ways to do so, so EDCimport provides functions for a few concepts.

As in previous vignettes, we will be using edc_example(), but in the real world you should use EDC reading functions. See vignette("reading") to see how.

library(EDCimport) 
library(dplyr) 
db = edc_example(N=200) %>%
  edc_unify_subjid() %>%
  edc_clean_names() 
db 
#> ── EDCimport database ──────────────────────────────────────────────────────────
load_database(db)

Joins

As the primary key is almost always SUBJID, {dplyr} joins can be simplified with default by and suffix arguments.

data_xx = enrol %>% 
  edc_left_join(data2) %>% 
  edc_right_join(data1) %>% 
  edc_full_join(ae)
dim(data_xx)
#> [1] 1240   23
names(data_xx) %>% stringr::str_subset("crfname") #suffixes are automated
#> [1] "crfname"       "crfname_data2" "crfname_data1" "crfname_ae"

“Yes/No” harmonizer

Using fct_yesno(), you can harmonize “Yes/No” values into a vector with the “Yes” level first:

set.seed(42)
x = tibble(a=c("Yes", "No"), b=c("Oui", "Non"), c=0:1, d=c(TRUE, FALSE))
x
#> # A tibble: 2 × 4
#>   a     b         c d    
#>   <chr> <chr> <int> <lgl>
#> 1 Yes   Oui       0 TRUE 
#> 2 No    Non       1 FALSE
x %>% dplyr::mutate_all(fct_yesno)
#> # A tibble: 2 × 4
#>   a     b     c     d    
#>   <fct> <fct> <fct> <fct>
#> 1 Yes   Yes   No    Yes  
#> 2 No    No    Yes   No

Miscellaneous

These three helpers don’t quite fit anywhere else, but they still deserve their moment!

• save_session_info() saves the output of session_info() to a file.

• edc_warn_extraction_date() triggers a warning if the extraction date of your edc_database is older than a specified threshold.

• edc_inform_code() outputs a message indicating the amount of code written for this analysis, assuming you have one file sourcing others.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.