f.distCol.Pearson.2: Distance by correlation matrix for hierarchical clustering in...
In msxakk89/dat: Data Analyst Toolkit (dat): a library of tools for data analysts and scientists
Description
Usage
Arguments
Details
Value
View source: R/fdistColPearson.R
Description
Compute a matrix of distances based on Pearson's correlation.
Usage
1
f.distCol.Pearson.2(x, method = "pearson")
Arguments
x
A matrix of expression values
method
Defults to "pearson". Can also be "kendall", "spearman".
Details
Distance is defined as dist = 1 - correlation coeficient.
Note that it transposes the input matrix in order to be able to use it for hierarchical clustering in heat map creation.
Value
Pearson correlation based distance object
msxakk89/dat documentation built on Aug. 3, 2020, 6:39 p.m.
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Description Usage Arguments Details Value
View source: R/fdistColPearson.R
Description
Compute a matrix of distances based on Pearson's correlation.
Usage
1 | f.distCol.Pearson.2(x, method = "pearson")
|
Arguments
x |
A matrix of expression values |
method |
Defults to "pearson". Can also be "kendall", "spearman". |
Details
Distance is defined as dist = 1 - correlation coeficient. Note that it transposes the input matrix in order to be able to use it for hierarchical clustering in heat map creation.
Value
Pearson correlation based distance 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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