imputeFlag: Perform imputation for missing values (FLAG > 5000)
In ABarray: Microarray QA and statistical data analysis for Applied Biosystems Genome Survey Microrarray (AB1700) gene expression data.
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Perform imputation for missing values.
Usage
1
imputeFlag(rawSig, pd = NULL, group = "", impute = "avg")
Arguments
rawSig
a matrix containing gene expression with missing values
labeled as NA
pd
phenoData object
group
which group should average be performed
impute
choice of impute method, only avg (average) is implemented
Value
a list containing a matrix with the imputed values and rows that are
imputed.
Author(s)
Y Andrew Sun
Examples
1
#-imputed <- imputeFlag(raw, pd, group = "tissue", impute = "avg") ##- sn ratio matrix
ABarray documentation built on Nov. 8, 2020, 5:25 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Perform imputation for missing values.
Usage
1 | imputeFlag(rawSig, pd = NULL, group = "", impute = "avg")
|
Arguments
rawSig |
a matrix containing gene expression with missing values labeled as NA |
pd |
phenoData object |
group |
which group should average be performed |
impute |
choice of impute method, only avg (average) is implemented |
Value
a list containing a matrix with the imputed values and rows that are imputed.
Author(s)
Y Andrew Sun
Examples
1 | #-imputed <- imputeFlag(raw, pd, group = "tissue", impute = "avg") ##- sn ratio matrix
|
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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