SimData.norm: Multi-source simulated dataset with continuous outcome.
In enorthrop/sup.r.jive: Supervised JIVE Methods: JIVE Predict, sJIVE, and sesJIVE
SimData.norm R Documentation
Multi-source simulated dataset with continuous outcome.
Description
A multi-source dataset with a normally distributed outcome,
saved as a list. The first two elements of the list are
the X data matrices, each with 30 predictors and 20 people.
The third element of the list is a continuous outcome vector
Y. Dataset was simulated using same constructed described in
sJIVE by Palzer et al. (2022) with true rankJ=1, rankI=c(1,1),
a large error in X (90%) and a small error in Y (10%).
Usage
SimData.norm
Format
A list
- X
A list of length 2. Each element in the list is a
centered and scaled data matrix
with 30 predictors (rows) and 20 people (columns)
- Y
A centered and scaled outcome vector of length 20
...
References
Palzer E.F., Wendt C., Bowler R., Hersh C., Safo S.E.,
Lock E.F. sJIVE: Supervised joint and individual variation explained.
https://arxiv.org/pdf/2102.13278.pdf
enorthrop/sup.r.jive documentation built on Nov. 18, 2022, 6:01 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.
| SimData.norm | R Documentation |
Multi-source simulated dataset with continuous outcome.
Description
A multi-source dataset with a normally distributed outcome, saved as a list. The first two elements of the list are the X data matrices, each with 30 predictors and 20 people. The third element of the list is a continuous outcome vector Y. Dataset was simulated using same constructed described in sJIVE by Palzer et al. (2022) with true rankJ=1, rankI=c(1,1), a large error in X (90%) and a small error in Y (10%).
Usage
SimData.norm
Format
A list
- X
A list of length 2. Each element in the list is a centered and scaled data matrix with 30 predictors (rows) and 20 people (columns)
- Y
A centered and scaled outcome vector of length 20
...
References
Palzer E.F., Wendt C., Bowler R., Hersh C., Safo S.E., Lock E.F. sJIVE: Supervised joint and individual variation explained. https://arxiv.org/pdf/2102.13278.pdf
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.