Density plots
Density plots provide visualisation of marker score distributions, approximated non-parametrically using kernel density estimation (KDE) [Rosenblatt 1956 Ann. Math. Statist. 27:832] with a two-stage adaptive bandwidth procedure [Abramson 1982 Ann. Statist. 10:1217] and plotted as a line graph.
Available for: continuous scoring
[Top]Viewing the results
Figure 1: Example density plot
To select a marker, click on the tab at the top that contains its name. With a marker selected, you will see the density plot on the left, and descriptive statistics on the right.
The density plot shows how the marker scores are distributed in the samples (e.g. a cohort of patients). On the x-axis is the score, and on the y-axis is the (probability) density, which represents how frequently a given score occurs in the cohort. Score regions with high density occur frequently in the samples, whereas regions with low density occur infrequently.
The buttons on the right-hand side are:
- Open in new window - Open the current plot in a new window. Useful for comparing multiple plots side-by-side.
- Download as SVG image - Download the current image in scalable vector graphic (SVG) format. SVG images can be rescaled to any size without loss of quality, ideal for posters and publications.
The statistics on the right-hand side are:
- Minimum score - The minimum score observed for the selected marker.
- Maximum score - The maximum score observed for the selected marker.
- Median - The median of the selected marker's scores.
- Mean score - The mean of the selected marker's scores.