gen_randNA: Generation of missing values at random locations in a data...
In aprodi/methyLImp: Missing Value Estimation of DNA Methylation Data

Description Usage Arguments Value Author(s) References Examples

Introduces a random amount of missing values in a single column of the data array.

1	gen_randNA(dat, col, frac)

`dat`	Matrix of betas or M-values
`col`	Column for missing data insertion
`frac`	Fraction of missing data to be inserted

Returns input data array with the missing values inserted.

Pietro Di Lena

Di Lena P et al: Missing value estimation methods for DNA methylation data. submitted to Bioinformatics

## Load the methyLImp dataset, containing no missing value
data(gse64495)
summary(gse64495)
## Artificially introduce 10% missing values in the first sample
## with the gen_randNA function
set.seed(50)
samp <- 1
frac <- 0.1
gse64495.mis <- gen_randNA(gse64495,samp,frac)
summary(gse64495.mis)