| dtable_list | R Documentation | 
create descriptive table
dtable_list(data, types, ...)
dtable(
  data,
  type = NULL,
  guide = NULL,
  desc = NULL,
  desc.flist = NULL,
  comp = NULL,
  comp.flist = NULL,
  test = NULL,
  test.flist = NULL,
  glist = NULL,
  w = NULL,
  useNA = "ifany",
  ...
)
| data | a  | 
| types | a vector of the types wanted | 
| ... | arguments passed | 
| type | what kind of variables to you want to describe? 'real', 'bnry', 'cat', 'date' and 'surv' are available | 
| guide | point to guide or get the default | 
| desc | if, and how, to describe variables | 
| desc.flist | list of describers, i.e. describing functions | 
| comp | if, and how, to compare variables (requires a glist) | 
| comp.flist | list of comparers, i.e. comparing functions | 
| test | if to test variables | 
| test.flist | list of testers, i.e. testing functions | 
| glist | grouping list, if wanted. This can either be a list of logical vectors equal in length to the numbers of rows (i.e. logical indexes), in which case overlapping groups can be made, or the name of a variable in the data frame (in which case that variable will be removed from output) or just any variable in the global workspace | 
| w | weights, if wanted | 
| useNA | how to handle  | 
create a description of variables of a given type in your data. see the vignette for examples
dtable_list(): create a list of dtable, one for each type wanted
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