Package: h2oplyr 0.2.6

Carlos Ortega

h2oplyr: Tidy Data Manipulation on Remote 'H2O' Frames

Provides selection, filtering, mutation, aggregation, joins, reshaping and window operations on remote 'H2O' frames. Data manipulation is delegated to 'H2O'; no local table backend is used. Includes an English tutorial and reproducible examples using Palmer penguin measurements.

Authors:Carlos Ortega [aut, cre]

h2oplyr_0.2.6.tar.gz
h2oplyr_0.2.6.zip(r-4.7-any)h2oplyr_0.2.6.zip(r-4.6-any)
h2oplyr_0.2.6.tar.gz(r-4.7-any)h2oplyr_0.2.6.tar.gz(r-4.6-any)
h2oplyr_0.2.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
h2oplyr/json (API)

# Install 'h2oplyr' in R:

install.packages('h2oplyr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 73 exports 4 dependencies

Last updated from:a3e7c3190c. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	142
source / vignettes	OK	227
linux-release	OK	150
windows-devel	OK	88
windows-release	OK	91
wasm-release	OK	133

Exports:%.%all_of any_of as_h2o contains desc ends_with everything h_across h_anti_join h_arrange h_between h_bind_cols h_bind_rows h_case_when h_coalesce h_collect h_count h_cummax h_cummin h_cumsum h_distinct h_drop_na h_explain h_fill h_filter h_filter_out h_full_join h_glimpse h_group_by h_group_keys h_group_vars h_if_else h_inner_join h_lag h_lead h_left_join h_mutate h_mutate_across h_na_if h_nest_by h_penguins h_pick h_pivot_longer h_pivot_wider h_relocate h_rename h_replace_na h_replace_na_cols h_right_join h_select h_semi_join h_separate h_slice_head h_slice_max h_slice_min h_slice_sample h_slice_tail h_summarise h_summarize h_summarize_across h_transmute h_ungroup h_unite h2o_available h2o_tbl last_col matches num_range starts_with when_all when_any where

Dependencies:bitops h2o jsonlite RCurl

Manipulating penguin data à la dplyr with H2O

Rendered fromh2oplyr-penguins.Rmdusingknitr::rmarkdown

Last update: 2026-10-15
Started: 2026-10-15

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Readme and manuals

Help Manual

Help page	Topics
Remote H2O Data Manipulation	h2oplyr-package h2oplyr
H2O %.%	%.%
H2O all of	all_of
H2O any of	any_of
Access the remote H2O frame	as_h2o
H2O contains	contains
H2O desc	desc
H2O ends with	ends_with
H2O everything	everything
H2O across	h_across
H2O anti join	h_anti_join
H2O arrange	h_arrange
H2O between	h_between
H2O bind cols	h_bind_cols
H2O bind rows	h_bind_rows
H2O case when	h_case_when
H2O coalesce	h_coalesce
Return the remote frame without downloading	h_collect
H2O count	h_count
H2O cummax	h_cummax
H2O cummin	h_cummin
H2O cumsum	h_cumsum
Deduplicate remote rows	h_distinct
H2O drop na	h_drop_na
H2O explain	h_explain
Fill missing values in row order	h_fill
Keep rows satisfying remote predicates	h_filter
Exclude rows satisfying remote predicates	h_filter_out
H2O full join	h_full_join
H2O glimpse	h_glimpse
H2O group by	h_group_by
H2O group keys	h_group_keys
H2O group vars	h_group_vars
H2O if else	h_if_else
H2O inner join	h_inner_join
H2O lag	h_lag
H2O lead	h_lead
H2O left join	h_left_join
Create or replace columns remotely	h_mutate
H2O mutate across	h_mutate_across
H2O na if	h_na_if
Create a list of remote group handles	h_nest_by
Upload the bundled Palmer penguins CSV	h_penguins
H2O pick	h_pick
H2O pivot longer	h_pivot_longer
Widen unique ID and name combinations	h_pivot_wider
H2O relocate	h_relocate
H2O rename	h_rename
H2O replace na	h_replace_na
H2O replace na cols	h_replace_na_cols
H2O right join	h_right_join
Select columns using schema metadata	h_select
H2O semi join	h_semi_join
H2O separate	h_separate
H2O slice head	h_slice_head
H2O slice max	h_slice_max
H2O slice min	h_slice_min
H2O slice sample	h_slice_sample
H2O slice tail	h_slice_tail
Compute grouped or global H2O summaries	h_summarise
Compute grouped or global H2O summaries	h_summarize
H2O summarize across	h_summarize_across
H2O transmute	h_transmute
H2O ungroup	h_ungroup
Concatenate categorical values on H2O	h_unite
Check an existing H2O connection	h2o_available
Wrap an existing remote H2O frame	dim.h2o_tbl h2o_tbl names.h2o_tbl print.h2o_tbl
H2O last col	last_col
H2O matches	matches
H2O num range	num_range
H2O starts with	starts_with
H2O when all	when_all
H2O when any	when_any
H2O where	where

Package: h2oplyr 0.2.6

h2oplyr: Tidy Data Manipulation on Remote 'H2O' Frames

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)