Fluid Use of Big Data in R

[Up] [Top]

Documentation for package ‘replyr’ version 0.2.5

Help Pages

replyr-package replyr: Fluid Use of Big Data in R
%->% Land a value to variable from a pipeline.
%->_% Land a value to variable from a pipeline.
%land% Land a value to variable from a pipeline.
%land_% Land a value to variable from a pipeline.
gapply grouped ordered apply
letp Wrap expr for 'magrittr' pipeline execution with name substitutions specified in alias.
replyr replyr: Fluid Use of Big Data in R
replyr_arrange arrange by a single column
replyr_bind_rows bind a list of items by rows (can't use dplyr::bind_rows or dplyr::combine on remote sources)
replyr_check_ranks confirm data has good ranked groups
replyr_coalesce Augment a data frame by adding additional rows.
replyr_colClasses Get column classes.
replyr_copy_from Bring remote data back as a local data frame tbl.
replyr_copy_to Copy data to remote service.
replyr_dataServiceName return a cannonical name of the data service hosting a given data object
replyr_dim Compute dimensions of a tbl.
replyr_drop_table_name Drop a table from a source
replyr_filter Filter a tbl on a column having values in a given set.
replyr_group_by group_by by a single column
replyr_inTest Product a column noting if another columns values are in a given set.
replyr_mapRestrictCols Map names of columns to known values and drop other columns.
replyr_moveValuesToColumns Spread values found in rowKeyColumns row groups as new columns (experimental, not fully tested on multiple data suppliers).
replyr_moveValuesToRows Collect values found in columnsToTakeFrom as tuples (experimental, not fully tested on multiple data suppliers).
replyr_nrow Compute number of rows of a tbl.
replyr_quantile Compute quantiles on remote column (NA's filtered out).
replyr_quantilec Compute quantiles on remote column (NA's filtered out) using cumsum.
replyr_rename Rename a column
replyr_select select columns
replyr_split split a data item by values in a column.
replyr_str Show structure of table.
replyr_summary Compute usable summary of columns of tbl.
replyr_testCols Run test on columns.
replyr_uniqueValues Compute number of unique values for each level in a column.