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Genetic Score metric library.

This library contains two functions, one genScore to compute this genetic score and other one categorizeSamples to group samples in two or three groups depending if they are on the left/center/right side of the plot.


To install it use the R package devtools and its function install_github. Open an R session and enter the following commands:

install.packages(c("devtools","curl")) ##Installs devtools 

Basic usage


This method receives two equal-sized scores arrays, which can be understood as point coordinates in a 2D-space. The output score is a collapsed distance to the inverse diagonal related to this space.

x = c(1,2,3,4,5)
y = c(5,4,3,2,1)
score = genScore::genScore(x,y)


This method receives the previously computed scores list and categorizes the values in three groups (low-middle-high) according to the percentile scores provided as parameters.

genScore::categorizeSamples(score, 0.33, 0.66)

pujana-lab/genScore documentation built on July 10, 2020, 12:35 a.m.