Summarize Missing Data in methyl_surro Object — methyl

This function summarizes the missing data in a methyl_surro object. It identifies probes with partial missing data (missing observations) and probes missing from all samples (missing probes).

Usage

methyl_miss(methyl_surro)

Arguments

methyl_surro: An object of class methyl_surro.

Value

A list with two elements:

missing_obs: A named numeric vector with the proportion of missing observations for each probe where this value is greater than 0.
missing_probes: A character vector of probes that are missing in all samples

Examples

# Load Methylation Beta Matrix
data(beta_matrix_miss, package = "MethylSurroGetR")

# Load Weights from a Named Vector
data(wts_vec_lin, package = "MethylSurroGetR")

# Build the methyl_surro Object
surrogate <- surro_set(methyl = beta_matrix_miss,
                       weights = wts_vec_lin,
                       intercept = "Intercept")

# Summarizing Missing Values
missing_summary <- methyl_miss(methyl_surro = surrogate)
print(missing_summary)
#> $missing_obs
#> cg02 cg07 
#>  0.6  0.2 
#> 
#> $missing_probes
#> [1] "cg03" "cg06" "cg11" "cg15" "cg18"
#>