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

In imp4p: Imputation for Proteomics

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 <[e-mail]>

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);

imp4p documentation built on Sept. 5, 2021, 5:38 p.m.