uncent.cordist: Calculating all pairwise distances using correlation distance
In DiffCorr: Analyzing and Visualizing Differential Correlation Networks in Biological Data
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Calculating all pairwise distances using correlation distance
Usage
1
Arguments
data
a data matrix ([data.frame object] row: metabolites,
col: samples or replicates)
absolute
TRUE means that absolute value of the correlation coefficient is used (Default: FALSE).
Details
These functions were originally from 'hybridHclust' package.
We modified the functions slightly. See also the reference manual in detail.
Value
the resulting correlation matrix
Author(s)
Atsushi Fukushima
Examples
1
uncent.cordist(as.matrix(t(iris[,1:4]))) ## NOT RUN!
DiffCorr documentation built on May 2, 2019, 3:46 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Calculating all pairwise distances using correlation distance
Usage
1 |
Arguments
data |
a data matrix ([data.frame object] row: metabolites, col: samples or replicates) |
absolute |
TRUE means that absolute value of the correlation coefficient is used (Default: FALSE). |
Details
These functions were originally from 'hybridHclust' package. We modified the functions slightly. See also the reference manual in detail.
Value
the resulting correlation matrix
Author(s)
Atsushi Fukushima
Examples
1 | uncent.cordist(as.matrix(t(iris[,1:4]))) ## NOT RUN!
|
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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