run_distatis: Distatis ordination coordiantes
In nlhuong/buds: Bayesian Unidimensional Scaling (BUDS)
Description
Usage
Arguments
Value
Description
Compute ordination coordinates for all copies
of D using a three-way MDS method, DiSTATIS.
Usage
1
run_distatis(bootD, dims = 2, booData.lst = NULL, modeData = NULL)
Arguments
bootD
A 3D array with posterior dissimilarity samples.
dims
An integer for the number of dimensions for
DiSTATIS.
booData.lst
[Optional] A list of length equal dim(bootD)[3]
containing data frames corresponding to bootD slices.
modeData
[Optional] A sample data frame for consensus
configuration.
Value
A list with two data frames: partial for DiSTATIS
configurations for each slice of bootD separately,
and consensus with an "average" configuration.
nlhuong/buds documentation built on May 17, 2019, 3:13 a.m.
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Description Usage Arguments Value
Description
Compute ordination coordinates for all copies of D using a three-way MDS method, DiSTATIS.
Usage
1 | run_distatis(bootD, dims = 2, booData.lst = NULL, modeData = NULL)
|
Arguments
bootD |
A 3D array with posterior dissimilarity samples. |
dims |
An integer for the number of dimensions for DiSTATIS. |
booData.lst |
[Optional] A list of length equal dim(bootD)[3] containing data frames corresponding to bootD slices. |
modeData |
[Optional] A sample data frame for consensus configuration. |
Value
A list with two data frames: partial for DiSTATIS configurations for each slice of bootD separately, and consensus with an "average" configuration.
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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