Skip to content
Signalcrest
← Back to feed
stackoverflowdata

How can I set the p-value y-positions based on the higher mean of the group, not the maximum?

Technique to position p-value labels based on group means rather than maxima.

Steady

15

signal score

as of 6d ago

Too early

trajectory — needs a few more snapshots

Why this scored 15

every term, weighted
Velocity+0.0 / 40 max

Engagement gained per hour since the last capture, against the fastest item on its own source

Acceleration+12.0 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25 max

How many independent communities are talking about the same entity

Recency+5.0 / 10 max

Decays to zero over 14 days

Saturation penalty2.1 / 30 max

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite14.9

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Signal history

7-day window (free)

Entities

ggplot2ggpubrrstatix
Embed a live signal badge
Signalcrest signal badge
[![Signalcrest signal](https://www.signalcrest.app/api/badge/so%3A79993967)](https://www.signalcrest.app/topic/so%3A79993967)

Drop this in a README or blog post — it updates automatically as the score moves.