Summary
Linkr ships a library of ready-made plugins — without writing a line of code. This page presents the catalogue and details the visualisation widgets; the statistical analyses, control charts and surveys each have their own page.
The catalogue
These widgets are plugins shipped with Linkr: you add them from Add a widget, the Plugin tab (they carry a Built-in badge). You then pick the columns to analyse, an optional grouping variable, and the appearance; the result updates live (see Configuring a widget).
Scatter, line, bar, histogram, boxplot, violin.
Aggregate value, icon and optional mini-chart.
Descriptive statistics: counts, %, means, medians, IQR.
Kaplan-Meier: curves, log-rank, median, at-risk table.
t-test, Mann-Whitney, χ², Fisher, ANOVA, Kruskal-Wallis.
Linear and logistic: coefficients, odds ratios, forest plot.
Pearson or Spearman, p-values, significance.
Flows and transitions: patient pathways, funnels.
Geographic points (longitude / latitude), colour, size.
Widget by widget
Plot builder
A versatile chart builder: scatter, line, bar, histogram, boxplot, violin. You pick the X and Y variables, a colour/grouping variable, and a per-entity aggregation (first, last, mean, median, min, max, sum) when an individual has several values. Legends, axes, colour palettes, opacity and point size are adjustable.
Key indicator
A single highlighted aggregate value (mean, median, sum, count, proportion, standard deviation, quantiles…), with an icon, a colour, a statistical subtitle and, optionally, a mini-chart (histogram, bar, pie).
n = 3,558 · SD 15.2
Sankey diagram
Visualising flows: patient pathways, selection funnels, transitions between states. Three data shapes are accepted (rows = steps, columns = levels, or a path string). Flows that are too rare or too frequent can be hidden, and the diagram, a table, or both can be displayed.
Map
A geographic visualisation based on Leaflet: marker position, colour, size and label driven by a variable, a choice of base map and information bubbles on hover.
The statistical analyses have their own pages
Six widgets need more than a paragraph — not because they are harder to configure, but because reading them correctly means knowing what they compute. They are covered separately.
Analysis widgets
Descriptive table, statistical tests, regression, survival, correlation matrix — and how the test is chosen.
Control charts (SPC)
Tracking an indicator over time without mistaking noise for change.
Surveys and eCRF
Analysing a questionnaire export one question at a time.
Warehouse widgets
Beyond these analyses, Linkr offers patient-data widgets (demographic summary, timeline of measurements, clinical notes). They belong to exploring individual data rather than composing dashboards; they are covered in the Exploring and analysing section.
When the catalogue is not enough
If no plugin in the catalogue matches your need, two options:
- Custom code in R or Python right inside a widget — ideal for a one-off, custom analysis.
- Build a plugin — to package a reusable, configurable, shareable analysis that then appears in the catalogue.