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Plot a frequency chart

Source: R/renewal_tools.R
frequency_plot.Rd

Plot a frequency chart to compare actual and predicted values.

Usage

frequency_plot(count_labels, actual, pred, colours = character(0))

Arguments

count_labels

character, labels to be used.

actual

numeric, the observed probabilities for the different count specified in count_labels.

pred

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.

colours

character vector of colour codes with length ncol(pred) + 2. If colours is missing or length(colours) < ncol(pred) + 2, the remaining colours are generated using RColorBrewer::brewer.pal.

Value

an object from class "trellis"

Details

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.

If argument colour is missing or not of sufficient length, the colours are set automatically using a function from package RColorBrewer.

The bar chart is created with lattice::barchart. If frequency_plot is called from the command line, the returned value is automatically ‘printed’ (i.e., the plot is produced). Otherwise, for example in scripts, you may need to use print() on the returned value.