wv.predict: Train a weighted voting classifier
In jperezrogers/rabbit: An R Package to Create Computational Pipelines to Develop and Evaluate Biomarkers from High Dimensional Genomic Data
Description
Usage
Arguments
Examples
Description
A more detailed description will eventually go here...
Usage
1
wv.predict(model, data, type = "raw")
Arguments
model
a list as generated by wv.model()
data
matrix with samples in columns and genes in rows
type
one of "raw" or "prob"
Examples
1
2
3
4
5
6
7
## Not run:
library(multtest)
data(golub)
mod <- wv.model(golub,golub.cl,correction=T)
wv.predict(mod,golub,type="raw")
## End(Not run)
jperezrogers/rabbit documentation built on Feb. 9, 2020, 4:59 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 Usage Arguments Examples
Description
A more detailed description will eventually go here...
Usage
1 | wv.predict(model, data, type = "raw")
|
Arguments
model |
a list as generated by wv.model() |
data |
matrix with samples in columns and genes in rows |
type |
one of "raw" or "prob" |
Examples
1 2 3 4 5 6 7 | ## Not run:
library(multtest)
data(golub)
mod <- wv.model(golub,golub.cl,correction=T)
wv.predict(mod,golub,type="raw")
## End(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.
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.