pcitMemoryRequirements: Calculate the memory requirement for running PCIT
In PCIT: Partial Correlation Coefficient with Information Theory
Description
Usage
Arguments
Author(s)
See Also
Examples
Description
This function attempts to determine the amount of computer memory that would
be required to run PCIT of a given correlation matrix.
Usage
1
2
pcitMemoryRequirement(m, units=c("MB", "bytes", "KB", "GB", "TB"),
nCopies=3)
Arguments
m
- A correlation matrix on which PCIT may be run, OR the number of rows/columns from such a matirx
units
- The units of RAM memory to be use for the returned value
nCopies
- The maximum number of copies of the correlation matrix which PCIT holds at any one time
Author(s)
Nathan S. Watson-Haigh
See Also
Examples
1
2
3
4
5
m <- matrix(1, 20, 20)
diag(m) <- 0
m
pcitMemoryRequirement(m, "KB")
pcitMemoryRequirement(10000, "GB")
PCIT documentation built on May 29, 2017, 11 a.m.
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Description Usage Arguments Author(s) See Also Examples
Description
This function attempts to determine the amount of computer memory that would be required to run PCIT of a given correlation matrix.
Usage
1 2 | pcitMemoryRequirement(m, units=c("MB", "bytes", "KB", "GB", "TB"),
nCopies=3)
|
Arguments
m |
- A correlation matrix on which PCIT may be run, OR the number of rows/columns from such a matirx |
units |
- The units of RAM memory to be use for the returned value |
nCopies |
- The maximum number of copies of the correlation matrix which PCIT holds at any one time |
Author(s)
Nathan S. Watson-Haigh
See Also
Examples
1 2 3 4 5 | m <- matrix(1, 20, 20)
diag(m) <- 0
m
pcitMemoryRequirement(m, "KB")
pcitMemoryRequirement(10000, "GB")
|
R Package Documentation
Browse R Packages
We want your feedback!
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