emba (version 0.1.8)

plot_mcc_classes_hist: Plot histogram of the MCC classes

Description

This function is a wrapper of the ahist function for plotting nicely the distribution of the MCC models' values.

Usage

plot_mcc_classes_hist(models.mcc, models.cluster.ids, num.of.mcc.classes)

Arguments

models.mcc

a numeric vector of Matthews Correlation Coefficient (MCC) scores, one for each model. The names attribute may hold the models' names (but it is not required).

models.cluster.ids

a numeric vector of cluster ids assigned to each model. It can be the result of using Ckmeans.1d.dp with input the models' MCC values (models.mcc) and the number of clusters (num.of.mcc.classes).

num.of.mcc.classes

numeric. A positive integer (>2) that signifies the number of mcc classes (groups) that we should split the models MCC values.

Examples

# NOT RUN {
models.mcc = c(-0.04, -0.17, 0.15, -0.24, -0.02 , 0.27, -0.42 , 0.38)
models.cluster.ids = c(2,2,3,1,2,3,1,3)
num.of.mcc.classes = 3
plot_mcc_classes_hist(models.mcc, models.cluster.ids, num.of.mcc.classes)

# }