predictPatientLabels: assign patient class when ranked by multiple GM predictors
In netDx: Network-based patient classifier
Description
Usage
Arguments
Value
Examples
View source: R/predictPatientLabels.R
Description
assign patient class when ranked by multiple GM predictors
Usage
1
predictPatientLabels(resSet, verbose = TRUE)
Arguments
resSet
(list) output of getPatientRankings, each key for a different
predictor. names(resSet) contain predictor label
verbose
(logical) print detailed messages
Value
data.frame: ID, similarityScore, PRED_CLASS
Examples
1
data(predRes); predClass <- predictPatientLabels(predRes)
netDx documentation built on Dec. 11, 2020, 2:01 a.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 Value Examples
View source: R/predictPatientLabels.R
Description
assign patient class when ranked by multiple GM predictors
Usage
1 | predictPatientLabels(resSet, verbose = TRUE)
|
Arguments
resSet |
(list) output of getPatientRankings, each key for a different predictor. names(resSet) contain predictor label |
verbose |
(logical) print detailed messages |
Value
data.frame: ID, similarityScore, PRED_CLASS
Examples
1 | data(predRes); predClass <- predictPatientLabels(predRes)
|
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.