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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