inferRelations {omicsPrint} | R Documentation

## predict mismatches

### Description

predict mismatches

### Usage

    inferRelations(data, n = 100, plot.it = TRUE, verbose = FALSE, ...)

### Arguments

`data` | output from allelesharing
`n` | = 100 default interpolation for showing the classification boundaries
`plot.it` | = TRUE default plot classification graph and returing mismatches otherwise return all
`verbose` | default FALSE, if TRUE show confusion matrix
`...` | optional plotting argument passed to plot

### Details

based on all data a classifier is build using Linear Discriminant Analysis and on the same data a prediction is performed in order to detect wrong sample relationships. The assumption is that the majority of sample relations is correct otherwise we could not do this!

### Value

predicted mismatches

### Author(s)

mvaniterson

### Examples

    set.seed(12345)
    beta <- matrix(runif(100*10, 0,1), nrow=100)
    beta[1:5, 1:5]
    colnames(beta) <- paste0("sample", 1:10)
    genotype <- beta2genotype(beta)
    genotype[1:5, 1:5]
    data <- alleleSharing(genotype)
    head(data)
    inferRelations(data)

[Package omicsPrint version 1.6.0 Index]