bdt.partition: Controls partitioning
In jangorecki/big.data.table: Parallel distributed computing for data.table
Description
Usage
Arguments
Value
View source: R/big.data.table.R
Description
By default function will validate if data partitioning is enforced on the nodes.
Usage
1
2
bdt.partition(x, partition.by, parallel = TRUE,
.log = getOption("bigdatatable.log", FALSE))
Arguments
x
big.data.table.
partition.by
character.
parallel,
see 'bdt.eval'.
.log
passed to 'bdt.eval'.
Value
big.data.table object.
jangorecki/big.data.table documentation built on May 18, 2019, 12:24 p.m.
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Description Usage Arguments Value
View source: R/big.data.table.R
Description
By default function will validate if data partitioning is enforced on the nodes.
Usage
1 2 | bdt.partition(x, partition.by, parallel = TRUE,
.log = getOption("bigdatatable.log", FALSE))
|
Arguments
x |
big.data.table. |
partition.by |
character. |
parallel, |
see 'bdt.eval'. |
.log |
passed to 'bdt.eval'. |
Value
big.data.table object.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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