split_sibling_names: Split pairwise features into character vector
In mdkessler/kTSCR: Implements k-Top Scoring Cluster Regression
Description
Usage
Arguments
Value
Examples
Description
Convert character vector of concatenated pairwise features (i.e. siblings) into a 'character vector' matrix of split names (i.e. original non-pairwise feature names)
Usage
1
split_sibling_names(siblings)
Arguments
siblings
a vector of sibling names (each of which is a character vector, i.e. string)
Value
returns siblings as a character vector of split names reflecting pairs of independent features from the original matrix X
Examples
1
2
siblings <- c("V1_V3", "V20_V5", "V100_V110", "V101_V50")
sibling_indices <- split_sibling_names(siblings)
mdkessler/kTSCR documentation built on Feb. 25, 2021, 10:31 p.m.
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Description Usage Arguments Value Examples
Description
Convert character vector of concatenated pairwise features (i.e. siblings) into a 'character vector' matrix of split names (i.e. original non-pairwise feature names)
Usage
1 | split_sibling_names(siblings)
|
Arguments
siblings |
a vector of sibling names (each of which is a character vector, i.e. string) |
Value
returns siblings as a character vector of split names reflecting pairs of independent features from the original matrix X
Examples
1 2 | siblings <- c("V1_V3", "V20_V5", "V100_V110", "V101_V50")
sibling_indices <- split_sibling_names(siblings)
|
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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