Tidy Data Manipulation on Remote 'H2O' Frames


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Documentation for package ‘h2oplyr’ version 0.2.6

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