crosstabs | R Documentation |
crosstabs
produces Toplines (one-way frequency tables) or Crosstabs (cross tabulations)
summaries of a Cruch dataset.
crosstabs(
dataset,
vars = names(dataset),
weight = crunch::weight(dataset),
banner = NULL,
codebook = FALSE,
include_numeric = FALSE,
include_datetime = FALSE,
include_verbatims = FALSE,
num_verbatims = 10,
include_original_weighted = TRUE,
filter = NULL
)
toplines(
dataset,
vars = names(dataset),
weight = crunch::weight(dataset),
banner = NULL,
codebook = FALSE,
include_numeric = FALSE,
include_datetime = FALSE,
include_verbatims = FALSE,
num_verbatims = 10,
include_original_weighted = TRUE,
filter = NULL
)
dataset |
A Crunch dataset. |
vars |
An optional vector of aliases of the non-hidden variables that shoulds be used. Defaults to all non-hidden variables. |
weight |
The alias of a numeric variable that should be used for data
weighting. Alternatively a named list where the name is the alias of the weight
and the contents of the list component are a character vector of aliases to
which that weight should apply. Defaults to current weight variable. For
unweighted, set to |
banner |
An optional object of class |
codebook |
If |
include_numeric |
Logical. Should we include numeric questions? Defaults to FALSE. Implemented for Toplines only. |
include_datetime |
Logical. Should we include date time questions? Defaults to FALSE. Implemented for Toplines only. |
include_verbatims |
Logical. Should we include a sample text varaibles? Defaults to FALSE. Implemented for Toplines only. |
num_verbatims |
An integer identifying the number of examples to extract from a text variable. Defaults to 10. Implemented for Toplines only. |
include_original_weighted |
Logical. When providing list of weights to apply, should we include the default weighted vars? Defaults to TRUE. |
filter |
A list of 'CrunchExpression's, 'CrunchFilter's, or string names of filters to be combined with the filter applied to dataset passed into the 'dataset' argument. |
A Toplines (when no banner is provided) or Crosstabs (when a banner is provided) summary of the input dataset.
toplines()
: An alias for crosstabs
## Not run:
toplines_summary <- crosstabs(crunch_dataset, weight = "weight")
crosstabs_summary <- crosstabs(crunch_dataset,
vars = c("alias1", "alias2"),
weight = "weight", banner = banner_object
)
## End(Not run)
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