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
library(devtools)
install_github("pujana-lab/genScore",ref="master")
```

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)
```

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