R: Function to compute similarity measures between a vector and...

fast_sim {imp4p} | R Documentation

## Function to compute similarity measures between a vector and each row of a matrix.

### Description

This function allows computing a similarity measure between a vector and each row of a matrix. The similarity measure is defined by d^2 where d is the Euclidean distance between the vector and each row. It is implemented thanks to the RCpp package.

### Usage

    fast_sim(prot, mat)

### Arguments

`prot` | A numeric vector containing numeric and missing values.
`mat` | A data matrix containing numeric and missing values.

### Value

A numeric vector containing the values of the similarity measures between the `prot` vector and each row of the `mat` matrix.

### Author(s)

Quentin Giai Gianetto <quentin2g@yahoo.fr>

### Examples

    #Simulating data
    res.sim=sim.data(nb.pept=20000,nb.miss=1000);

    #Fast computation of similarities
    fast_sim(res.sim$dat.obs[1,],res.sim$dat.obs);

[Package imp4p version 1.1 Index]