Show the current CRF status distribution — edc_crf

Generate a barplot showing the distribution of CRF status (Complete, Incomplete, ...) for each dataset of the database.

Usage

edc_crf_plot(
  crfstat_col = "CRFSTAT",
  ...,
  details = FALSE,
  pal = edc_pal_crf(),
  crfstat_lvls = names(pal),
  x_label = "{dataset}",
  treat_as_worst = NULL
)

edc_pal_crf()

Source

ggsci:::ggsci_db$lancet[["lanonc"]] %>% dput()

Arguments

crfstat_col: the column name of the CRF status
...: unused
details: whether to show all the CRF status levels. When FALSE (default), recode the status into "Complete", "Incomplete", or "No Data".
pal: the palette, defaulting to the helper EDCimport:::edc_pal_crf()
crfstat_lvls: the CRF status levels, from "best" to "worst". The plot is ordered by the "worst" level.
x_label: a glue pattern determining the tick label in the x axis. Available variables are c("nrow", "ncol", "n_id", "rows_per_id", "crfname"), taken from edc_lookup().
treat_as_worst: a regex for levels that should be treated as worst in the ordering

Value

a ggplot

Examples

if (FALSE) { # \dontrun{
#import a TM database and use load_list(), then:
edc_crf_plot() + ggtitle(date_extraction)
edc_crf_plot(pal=rev(edc_pal_crf()))
edc_crf_plot(details=TRUE, treat_as_worst="No Data")
edc_crf_plot(x_label="{crfname} (N={n_id}, n={nrow})")

p = edc_crf_plot(details=TRUE)
p$data$crfstat %>% unique()
#> [1] "Incomplete"        "No Data Locked"    "No Data"           "Signed"           
#> [5] "Partial Monitored" "Monitored"         "Complete Locked"   "Complete" 
} # }