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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.
Health stats visible at Monitor.