mni.rows.per.node: Configure system for parallel processing of dataset
In BIC-MNI/mni.cortical.statistics: Regression analyses on the surface
Description
Usage
Arguments
Value
Description
Computes the number of rows that each individual process in a
paralleized run of mni.vertex.statistics will have to work with.
Usage
1
mni.rows.per.node(n.rows, n.nodes)
Arguments
n.rows
Number of rows in the dataset.
n.nodes
Number of nodes to parallelize across.
Value
Returns a matrix with the same number of columns as number of nodes
given in the n.nodes argument and two columns, the first column
corresponding to the lower index and the second to the higher index
into the datatable that is to be used by each process.
BIC-MNI/mni.cortical.statistics documentation built on May 5, 2019, 10:25 a.m.
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.
Description Usage Arguments Value
Description
Computes the number of rows that each individual process in a paralleized run of mni.vertex.statistics will have to work with.
Usage
1 | mni.rows.per.node(n.rows, n.nodes)
|
Arguments
n.rows |
Number of rows in the dataset. |
n.nodes |
Number of nodes to parallelize across. |
Value
Returns a matrix with the same number of columns as number of nodes given in the n.nodes argument and two columns, the first column corresponding to the lower index and the second to the higher index into the datatable that is to be used by each process.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.