makeNodeAndLeafPredictors: Make a matrix with predictors for each leaf and node
In jfukuyama/treeDA: Tree-Based Discriminant Analysis
Description
Usage
Arguments
Value
View source: R/treeda-functions.R
Description
Make a matrix with one predictor for each leaf and node in the
tree, where the node predictors are the sum of the leaf predictors
descending from them.
Usage
1
makeNodeAndLeafPredictors(leafPredictors, tree)
Arguments
leafPredictors
A predictor matrix for the leaves: rows are
samples, columns are leaves.
tree
A phylogenetic tree describing the relationships
between the species/leaves.
Value
A predictor matrix for leaves and nodes together: rows are
samples, columns are leaf/node predictors.
jfukuyama/treeDA documentation built on May 18, 2021, 8:52 a.m.
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Description Usage Arguments Value
View source: R/treeda-functions.R
Description
Make a matrix with one predictor for each leaf and node in the tree, where the node predictors are the sum of the leaf predictors descending from them.
Usage
1 | makeNodeAndLeafPredictors(leafPredictors, tree)
|
Arguments
leafPredictors |
A predictor matrix for the leaves: rows are samples, columns are leaves. |
tree |
A phylogenetic tree describing the relationships between the species/leaves. |
Value
A predictor matrix for leaves and nodes together: rows are samples, columns are leaf/node predictors.
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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