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 ) 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 )
dataset | A Crunch dataset. |
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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. |
A Toplines (when no banner is provided) or Crosstabs (when a banner is provided) summary of the input dataset.
toplines()
: An alias for crosstabs
if (FALSE) { toplines_summary <- crosstabs(crunch_dataset, weight = "weight") crosstabs_summary <- crosstabs(crunch_dataset, vars = c("alias1", "alias2"), weight = "weight", banner = banner_object ) }