qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of quantities and r5r — release velocity, themes, recent moves, and the top alternatives to consider.
The glue package that makes R carry units and uncertainty through the same calculation.
quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.
r5r's jump to JDK 21 fixed Apple Silicon and broke everyone's toolchain at once.
r5r runs Conveyal's R5 routing engine from R for multimodal travel-time matrices, accessibility measures and isochrones. The current line requires JDK 21 and R5 v7.1, stores the engine jar under a managed user directory, and detects when a chosen date has no transit service instead of returning silent nonsense. Isochrones can now be returned as polygons rather than lines.
quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.
The design settled with 0.2.0, which made uncertainty unit-aware and added correlation and covariance support for quantities objects. Since then the package behaves like the integration layer it is — releasing when units, errors, dplyr or ggplot2 shift underneath it rather than on its own schedule. Several releases consist only of test repairs against upstream changes.
Expect the next release to follow a units or errors change rather than introduce new behaviour of its own.
r5r runs Conveyal's R5 routing engine from R for multimodal travel-time matrices, accessibility measures and isochrones. The current line requires JDK 21 and R5 v7.1, stores the engine jar under a managed user directory, and detects when a chosen date has no transit service instead of returning silent nonsense. Isochrones can now be returned as polygons rather than lines.
Development alternates between tracking upstream R5 and smoothing the rough edges its Java dependency creates. The v2.0 release was the pivotal one: raising the JDK floor was a breaking change, but it is what resolved the Mac ARM incompatibility and unblocked users on modern hardware. Since then the work has returned to routing outputs and error handling.
Expect further upstream R5 tracking plus incremental isochrone and accessibility options; the JDK floor has just been reset, so another runtime break is unlikely soon.
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either quantities or r5r.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all quantities alternatives → · See all r5r alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. quantities and r5r are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. quantities and r5r are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top quantities alternatives in Analytics are ranked by recent ship velocity. Browse the "quantities alternatives" section above for the current picks, or visit /alternatives/quantities for the full list with editorial commentary on each.
Top r5r alternatives in Analytics are ranked by recent ship velocity. Browse the "r5r alternatives" section above for the current picks, or visit /alternatives/r5r-r for the full list with editorial commentary on each.