OutlierDetMD: Outlier Detection
In renjun0324/KKLClustering: Large-scale single-cell clustering algorithm based on optimal KNN graph structure
View source: R/pre_partitioning.R
OutlierDetMD R Documentation
Outlier Detection
Description
This function is used to detect outliers of any matrix,
which comes from mvoutlier,
please check [github] (https://github.com/cran/mvoutlier) for more function details.
Usage
OutlierDetMD(m, min_n = 5, alpha = 1, pvalue = 0.05)
Arguments
m
matrix, row is cells
min_n
the minimum number of cells required
alpha
parameter of covMcd
pvalue
significance level.
Value
Character vector of outlier label
renjun0324/KKLClustering documentation built on Oct. 8, 2024, 7:39 p.m.
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View source: R/pre_partitioning.R
| OutlierDetMD | R Documentation |
Outlier Detection
Description
This function is used to detect outliers of any matrix, which comes from mvoutlier, please check [github] (https://github.com/cran/mvoutlier) for more function details.
Usage
OutlierDetMD(m, min_n = 5, alpha = 1, pvalue = 0.05)
Arguments
m |
matrix, row is cells |
min_n |
the minimum number of cells required |
alpha |
parameter of covMcd |
pvalue |
significance level. |
Value
Character vector of outlier label
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.
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