cv.error.SOUP: Compute cross validation errors
In lingxuez/SOUP: Semi-soft Clustering of Single Cell Data
Description
Compute cross validation errors
Usage
1
2
cv.error.SOUP(expr, type = "log", Ks = c(2:10), nfold = 10,
seed = NULL, mc.cores = 1, ext.prop = NULL, pure.prop = 0.5)
Arguments
expr
A cell-by-gene expression matrix, either the raw counts or log-transformed expressions.
type
"log" if expr has been normalized and log-transformed (default),
or "count" (default) expr contains the raw counts.
Ks
A sequence of cluster numbers
nfold
(optional) Number of folds, default is 10
seed
(optional) random seed, default is NULL
mc.cores
(optional) Number of cores for parallelization, default is 1 without parallelization
lingxuez/SOUP documentation built on May 28, 2019, 3:38 p.m.
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Description
Compute cross validation errors
Usage
1 2 | cv.error.SOUP(expr, type = "log", Ks = c(2:10), nfold = 10,
seed = NULL, mc.cores = 1, ext.prop = NULL, pure.prop = 0.5)
|
Arguments
expr |
A cell-by-gene expression matrix, either the raw counts or log-transformed expressions. |
type |
"log" if |
Ks |
A sequence of cluster numbers |
nfold |
(optional) Number of folds, default is 10 |
seed |
(optional) random seed, default is NULL |
mc.cores |
(optional) Number of cores for parallelization, default is 1 without parallelization |
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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