Initial CRAN release.
dplyr interface for manipulating data in
JavaScript with tbl(), copy_to(),
collect(), compute(), and
show_query().collect() decoupled from
shiny’s reactive input system. compute() uses
session$registerDataObj() to create a session-scoped HTTP
callback; the JS side POSTs the result to it, resolving a
promise. collect() does not require a reactive
context.compute() within collect() so it
runs automatically when not called earlier in the pipeline.%...>%,
%...!%, and %...T>% from
promises, so collect() results can be consumed
in reactive contexts without attaching promises.filter() verb to subset rows by predicate
expressions, evaluated client-side. Comparisons (==,
>, <, etc.) combined with
&/| are supported. Values referenced from
input or the calling environment are resolved on the R
side; column references are evaluated in the browser.select() verb to choose columns by name.distinct() verb to keep unique rows. When
columns are supplied in ... only those determine uniqueness
and the first row per unique combination is kept; with no columns all
columns are used. Supports .keep_all to retain all columns
in the output.mutate() verb for adding or modifying columns
using expressions. Supports both non-standard evaluation and character
string inputs.ifelse() support in mutate()
expressions, translated to JavaScript ternary operators. Nested
ifelse() calls are supported.if_else() as an alias for ifelse()
in mutate() expressions; both translate to JavaScript
ternary operators.case_when() support in mutate()
expressions, translated to chained JavaScript ternary operators. Clauses
without a TRUE ~ ... catch-all yield null for
unmatched rows, matching dplyr’s NA
default.group_by() and summarise() verbs
with support for mean(), sum(),
min(), max(), n(),
sd(), and median() aggregation functions.left_join(),
right_join(), inner_join(),
full_join(), semi_join(), and
anti_join(). Joining two tbl_lazy_json tables
is performed in the browser. Supports by as a natural join
(default), a shared key, or a named vector for differing key names.
Colliding non-key columns get .x/.y
suffixes.is.na(), between(), and
across()/if_all()/if_any()
support in filter() expressions. is.na() and
between() are translated to JavaScript on the browser side,
while across()/if_all()/if_any()
are expanded over the selected columns (combined with &
for across()/if_all() and | for
if_any()). Column selections accept c(...), a
bare column, a character vector, and
all_of()/any_of().across() support to mutate() and
summarise(), and
all_of()/any_of()/across() column
resolution to group_by(). across() is expanded
on the R side over the selected columns and accepts a single function, a
formula lambda (~ .x * 2), or a named list of functions,
with optional .names glue
({.col}/{.fn}).
if_any()/if_all() remain
filter()-only.ungroup() to remove grouping set by
group_by(). With no arguments all grouping is dropped;
supplying column names removes only those columns from the grouping set
(partial ungroup), matching dplyr::ungroup().arrange() to sort rows client-side by one or more
columns. Wrap a column in desc() for descending order;
multiple keys break ties left to right and the sort is stable.
NA/null values sort last.rename() to rename columns with
new = old pairs, preserving column order.slice() family: slice() (integer
positions, negative positions drop rows),
slice_head()/slice_tail() (first/last
n or prop), and
slice_min()/slice_max() (rows with the
smallest/largest values of a column). Slicing is group-aware when the
data is grouped with group_by().pull() to extract a single column as a vector.
Like collect(), it returns a
promises::promise() resolving to the vector. Supports
selection by name and by position, including negative indices counting
from the last column.count() and tally().
count() groups by the given columns and counts rows per
group; tally() counts within an existing
group_by(). Both honour the name (default
"n") and sort arguments and reuse the
group_by()/summarise() machinery.relocate() to reorder columns using
.before/.after placement, defaulting to moving
the selected columns to the front.print() method for tbl_lazy_json
that shows the JSON source, a lazy (not-yet-computed) status, and the
pending pipeline rendered as dplyr-like calls. Mirrors
dbplyr’s lazy tbl print, without retrieving
data from the browser.vignette("collect-with-promises") covering how
to handle collect() promises inside
reactive(), eventReactive(),
observeEvent() and observe().inst/example_apps/ showcasing
jsplyr usage, including app_showcase.R and
app_update_select.R.lintr::lint_package()), a standalone testthat
run for fast PR feedback, test coverage reporting via covr
with Codecov upload, and a version-bump check that fails PRs which do
not bump the DESCRIPTION Version.pkgdown workflow that builds the documentation
site and deploys it to GitHub Pages.