Swimmer plot of all dates columns — edc

Join all tables from .lookup$dataset on id

Usage

edc_swimmerplot(
  .lookup = edc_lookup(),
  ...,
  id = get_subjid_cols(),
  group = NULL,
  origin = NULL,
  id_lim = NULL,
  exclude = NULL,
  time_unit = c("days", "weeks", "months", "years"),
  aes_color = c("variable", "label"),
  plotly = getOption("edc_plotly", FALSE)
)

Arguments

.lookup: the lookup table, default to edc_lookup()
...: not used
id: the patient identifier. Will be coerced as numeric.
group: a grouping variable, given as "dataset$column"
origin: a variable to consider as time 0, given as "dataset$column"
id_lim: a numeric vector of length 2 providing the minimum and maximum id to subset on.
exclude: a character vector of variables to exclude, in the form dataset$column. Can be a regex, but $ symbols don't count. Case-insensitive.
time_unit: if origin!=NULL, the unit to measure time. One of c("days", "weeks", "months", "years").
aes_color: either variable ("{dataset} - {column}") or label (the column label)
plotly: whether to use {plotly} to get an interactive plot

Value

either a plotly or a ggplot

Examples

#tm = read_trialmaster("filename.zip", pw="xx")
tm = edc_example_plot()
#> Warning: Option "edc_lookup" has been overwritten.
load_list(tm)
p = edc_swimmerplot(.lookup, id_lim=c(5,45))
p2 = edc_swimmerplot(.lookup, origin="db0$date_naissance", time_unit="weeks", 
                     exclude=c("DB1$DATE2", "db3$.*"))
p3 = edc_swimmerplot(.lookup, group="db0$group", aes_color="label")
if (FALSE) { # \dontrun{
#save the plotly plot as HTML to share it
save_plotly(p, "edc_swimmerplot.html")
} # }