data_mbqc_groupA: MBQC data, group A.
In YuWang28/acPCoA: Adjustment for Confounding Factors using Principal Coordinate Analysis
Description
A subset of 848 samples from MBQC are included in the group A.
Usage
1
Format
A list with multiple elements, which are
- DistMat.EU
the n by n distance matrix. n is the number of samples. Euclidean distance is applied.
- DistMat.BC
the n by n distance matrix. n is the number of samples. Bray-Curtis distance is applied.
- ConfounderMat
the n by q confounder matrix
- Specimen
The specimen label of samples
- BioLab
The bioinformatics labs which processed the samples
- BioID
The sample ID from biological labs before sending to the bioinformatics labs.
YuWang28/acPCoA documentation built on Dec. 18, 2021, 8:20 p.m.
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.
Description
A subset of 848 samples from MBQC are included in the group A.
Usage
1 |
Format
A list with multiple elements, which are
- DistMat.EU
the n by n distance matrix. n is the number of samples. Euclidean distance is applied.
- DistMat.BC
the n by n distance matrix. n is the number of samples. Bray-Curtis distance is applied.
- ConfounderMat
the n by q confounder matrix
- Specimen
The specimen label of samples
- BioLab
The bioinformatics labs which processed the samples
- BioID
The sample ID from biological labs before sending to the bioinformatics labs.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.