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autoplot
and
plotCategorical
functions is renamed from x
to
object
, for consistency with ggplot2’s
autoplot
generic.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()
objectsThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.