as_cr_tibble()
and as_tibble()
always returns an actual tibble.autoplot()
methods make it easy to plot crunch variables and cubes as well as cube calculations (proportions from prop.table()
margins from margin.table()
, etc.). See vignette("plotting", package="crplyr")
for discussion and examples.as_tibble()
and summarize()
return full underlying cube representations, where multiple-response items are represented as an array of multiple dichotomous choices (selected, not-selected, missing) for each item.select()
, group_by()
, and collect()
now correctly support taking hidden variables (#6, #13)collect()
uses crunch::as.data.frame()
export, which should be faster especially for larger data pulls.summarize_()
, select_()
, and group_by_()
, deprecated in dplyr
, now error.collect()
method, which pulls the requested columns of data from the server.summarize()
and as_tibble.CrunchCube()
methods now better handle array and multiple-response data and include metadata on which dimension values should be interpreted as missing.unweighted_n()
aggregation method for summarize()
, which returns the unweighted counts even when the dataset has a weight applied.crunch
1.18.0.crunch
1.17.0.Initial implementation of dplyr
interface for Crunch, including
select()
, filter()
, group_by()
, and summarize()
methods for crunch::CrunchDataset()
objectsas_tibble()
method for crunch::CrunchCube()
objects