Multiplyr-class         Parallel processing data frame
Multiplyr-methods       Data access methods for Multiplyr
add_rownames            Add a new column with row names
arrange                 Sort data
between                 Tests whether elements of a vector lie between
                        two values (inclusively)
cumall                  Cumulative all
cumany                  Cumulative any
cummean                 Cumulative mean
define                  Define new columns
desc                    Arrange specified column in descending order
distinct                Select unique rows or unique combinations of
                        variables
distribute              Calculations for how to distribute x items over
                        N nodes
filter                  Filter data
first                   Returns first value in vector
group_by                Group data
group_sizes             Return size of groups
lag                     Offset x backwards by n
last                    Returns last value in vector
lead                    Offset x forwards by n
multiplyr               Data Manipulation with Parellelism and Shared
                        Memory Matrices
mutate                  Change values of existing variables (and create
                        new ones)
n                       Number of items in current group
n_distinct              Return the number of unique values
n_groups                Return number of groups
nsa                     No strings attached mode
nth                     Return the nth item from a vector
partition_even          Partition data evenly amongst cluster nodes
partition_group         Partition data so that each group is wholly on
                        a node
reduce                  Summarise data (with local reduction)
regroup                 Return to grouped data
rename                  Rename variables
select                  Retain only specified variables
shutdown                Shutdown running cluster
slice                   Select rows by position
summarise               Summarise data
transmute               Change variables and drop all others
undefine                Delete variables
ungroup                 Return data to non-grouped
within_group            Execute code within a group
within_node             Execute code within a node
