Plots a model or a population of model objectsas barplots of scaled coefficients.

Plots a model or a population of models as a barplots, representing each feature, the length being the coefficient

Usage

plotModel(
  mod,
  X,
  y,
  sort.features = FALSE,
  sort.ind = NULL,
  feature.name = FALSE,
  col.sign = c("deepskyblue1", "firebrick1"),
  main = "",
  slim = FALSE,
  importance = FALSE,
  res_clf = NULL
)

Arguments

mod:

a model to plot

X:

the data matrix with variables in the rows and observations in the columns

y:

the class vector

sort.features:

wether the features need to be sorted by correlation with 'y' or not (default: TRUE)

sort.ind:

computing sorting can take time if computed for every model and can be computed outside the function and passed as a parameter

feature.name:

show the name of the features (default:FALSE)

col.sign:

the colors of the cofficients based on the sign of the coefficients (default: -1=deepskyblue1, 1:firebrick1)

main:

possibility to change the title of the function (default:"")

slim:

plot without axis information (default:FALSE)

importance:

the importance (mda) of the features in crossval

res_clf:

the result of the learning process (default:NULL). If provided information on MDA will be extracted for the importance graphic.