detectOutliers_bmdk: Detect outliers in the BMDK data
In abcsFrederick/BMDK: Biomarker Discovery Kit
Description
Usage
Arguments
Value
View source: R/detectOutliers_bmdk.R
Description
Using the k Nearest Neighbours Distance method, detect outliers in the data
and remove them. After removing the outliers, renormalize the data.
Usage
1
detectOutliers_bmdk(dat)
Arguments
dat
a list containing 3 elements: case, a list of case/control statuses;
feat, a matrix of normalized feature data; maxfeat, a list of max features
from each column in feat
Value
List containing 3 elements (case, feat, maxfeat) with the outliers removed
abcsFrederick/BMDK documentation built on Aug. 9, 2021, 2:19 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 Value
View source: R/detectOutliers_bmdk.R
Description
Using the k Nearest Neighbours Distance method, detect outliers in the data and remove them. After removing the outliers, renormalize the data.
Usage
1 | detectOutliers_bmdk(dat)
|
Arguments
dat |
a list containing 3 elements: case, a list of case/control statuses; feat, a matrix of normalized feature data; maxfeat, a list of max features from each column in feat |
Value
List containing 3 elements (case, feat, maxfeat) with the outliers removed
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.