dimarDoImputationsR: dimarDoImputationsR
In kreutz-lab/DIMAR: Data-driven selection of an imputation algorithm in R
View source: R/dimarDoImputationsR.R
dimarDoImputationsR R Documentation
dimarDoImputationsR
Description
Helper function for DoImputations. Actually applies the imputation functions
of various R packages to a quantitative matrix.
Usage
dimarDoImputationsR(mtx, method = NULL, lib = NULL)
Arguments
mtx
Quantitative matrix
method
Imputation method
lib
R package of imputation method
Value
Quantitaive matrix, on which imputation is performed
Examples
mtx <- matrix(rnorm(1000),nrow=100)
mtx[sample(c(1:1000),100)] <- NA
I <- dimarDoImputationsR(mtx,'impSeq','rrcovNA')
kreutz-lab/DIMAR documentation built on Aug. 19, 2024, 11:07 a.m.
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View source: R/dimarDoImputationsR.R
| dimarDoImputationsR | R Documentation |
dimarDoImputationsR
Description
Helper function for DoImputations. Actually applies the imputation functions of various R packages to a quantitative matrix.
Usage
dimarDoImputationsR(mtx, method = NULL, lib = NULL)
Arguments
mtx |
Quantitative matrix |
method |
Imputation method |
lib |
R package of imputation method |
Value
Quantitaive matrix, on which imputation is performed
Examples
mtx <- matrix(rnorm(1000),nrow=100)
mtx[sample(c(1:1000),100)] <- NA
I <- dimarDoImputationsR(mtx,'impSeq','rrcovNA')
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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