Plot a frequency chart to compare actual and predicted values.
frequency_plot(count_labels, actual, pred, colours)character, labels to be used.
numeric, the observed probabilities for the different count
specified in count_labels.
data.frame of predicted values. Should have the same number of rows as actual and one column per model. The columns' names will be used as labels for the different models.
character vector of colour codes with length
ncol(pred) + 2.
In order to compare actual and fitted values, a barchart plot is created. It is the user's responsibility to provide the count, observed and fitted values.