level_function {GWAS.BAYES} | R Documentation

## level_function

### Description

Removes all SNPs that only have one level in it

### Usage

    level_function(SNPs,MAF = 0.01)

### Arguments

`SNPs` | The standardized SNP data where the columns take on the values of 0 or 1
`MAF` | The minor allele frequency at which to drop SNPs. Default is set to 0.01, meaning if the minor allele occurs less than 1 percent of the time in a given SNP, that given SNP will be dropped from the dataset.

### Value

`SNPs` | The SNP matrix where columns that were either all 1's or all 0's are removed
`SNPs_Dropped` | A true/false vector with length ncol(SNPs), where the TRUE's indicate that the column was not dropped and the FALSE's indicate that the column was dropped

### Examples

    data("vignette_lm_dat")
    Y <- vignette_lm_dat$Phenotype
    SNPs <- vignette_lm_dat[,-1]
    SNPs <- standardize(SNPs = SNPs,method = "major-minor",number_cores = 1)
    list1 <- aggregate_SNPs(SNPs = SNPs, Y = Y)
    SNPs <- list1[[1]]
    Y <- list1[[2]]

    level_function(SNPs, MAF = .01)

[Package GWAS.BAYES version 1.4.0 Index]