dx_plot_cm | R Documentation |
Creates a graphical representation of a confusion matrix from a dx
object.
The plot displays the counts of true positives, false negatives, true negatives,
and false positives. Additionally, it annotates the plot with relevant performance
metrics such as Sensitivity, Specificity, PPV, and NPV, along with their
confidence intervals where applicable.
dx_plot_cm(dx_obj, palette = c("#e5eef7", "#0057B8"), levels = c("-", "+"))
dx_obj |
An object of class "dx" containing the diagnostic measurements. |
palette |
A character vector of length 2 specifying the colors for the low and high ends of the fill gradient used in the plot. Defaults to c("#e5eef7", "#0057B8"). |
levels |
A character vector of length 2 specifying the labels for negative and positive classes, respectively. Defaults to c("-", "+"). |
A ggplot
object that represents the confusion matrix with additional
performance metrics.
dx_obj <- dx(
data = dx_heart_failure,
true_varname = "truth",
pred_varname = "predicted",
outcome_label = "Heart Attack",
setthreshold = .3
)
dx_plot_cm(dx_obj)
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