qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ggmagnify vs rjwsacruncher
A side-by-side editorial comparison of ggmagnify and rjwsacruncher — release velocity, themes, recent moves, and the top alternatives to consider.
ggmagnify vs rjwsacruncher: at a glance
What is ggmagnify?
A single-purpose ggplot2 inset tool, refining the same three arguments.
ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.
What is rjwsacruncher?
A thin R wrapper around a Java seasonal-adjustment tool, slowly absorbing the setup work.
rjwsacruncher drives JDemetra+'s JWSACruncher from R, handling parameter files and batch runs of seasonal adjustment workspaces. Recent releases have shifted from wrapping the executable to managing its installation: 0.2.3 adds a downloader for JDemetra+ itself, a check that a given directory really contains the cruncher binary, and tolerance for users pointing at the executable instead of its bin directory.
ggmagnify vs rjwsacruncher: editorial side-by-side
ggmagnify
0.0ANALYTICS
A single-purpose ggplot2 inset tool, refining the same three arguments.
◆ Current state
ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.
◆ Where it's heading
Work concentrates on the visual finish of the inset rather than on new capability, which is what a package with one job should look like. Two feature releases a week apart in early 2024 suggest a short burst of attention rather than sustained development, and the feed goes quiet after mid-2024.
◆ Prediction
Too few entries to call a direction with confidence; continued small styling arguments would be consistent with what is visible.
rjwsacruncher
0.0ANALYTICS
A thin R wrapper around a Java seasonal-adjustment tool, slowly absorbing the setup work.
◆ Current state
rjwsacruncher drives JDemetra+'s JWSACruncher from R, handling parameter files and batch runs of seasonal adjustment workspaces. Recent releases have shifted from wrapping the executable to managing its installation: 0.2.3 adds a downloader for JDemetra+ itself, a check that a given directory really contains the cruncher binary, and tolerance for users pointing at the executable instead of its bin directory.
◆ Where it's heading
The work is defensive. Most of each release addresses a way users misconfigure paths or versions — clearer errors, a startup message naming which cruncher version the options select, and a standalone flag on the downloader. The package is absorbing the friction of a Java dependency it does not control.
◆ Prediction
Expect continued compatibility work as JDemetra+ 3.x diverges from 2.x, since the version split is already surfaced as a user-facing option rather than resolved internally.
Alternatives to ggmagnify and rjwsacruncher
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 ggmagnify or rjwsacruncher.
constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
austraits
The R client for AusTraits spends its releases chasing the dataset it reads.
ggdemetra
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
fossilsim
A fossil-record simulator that quietly grew a trait-evolution engine.
tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all ggmagnify alternatives → · See all rjwsacruncher alternatives →
Recent activity from ggmagnify and rjwsacruncher
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agorjwsacruncherdownload_jdemetra() and bin-directory validation added
- 1y agorjwsacruncherread_param_file() no longer forces full_series_name to FALSE
- 1y agorjwsacruncherRenaming controls and configurable parameter file names
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
- 2y agorjwsacruncherParameter-file read/write functions added; cruncher 3.x support
- 7y agorjwsacruncherFirst CRAN release
Frequently asked questions
What is the difference between ggmagnify and rjwsacruncher?
They serve adjacent needs but don't currently overlap on shipped themes. ggmagnify and rjwsacruncher 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.
Is ggmagnify better than rjwsacruncher?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmagnify and rjwsacruncher 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.
What are the best alternatives to ggmagnify?
Top ggmagnify alternatives in Analytics are ranked by recent ship velocity. Browse the "ggmagnify alternatives" section above for the current picks, or visit /alternatives/ggmagnify for the full list with editorial commentary on each.
What are the best alternatives to rjwsacruncher?
Top rjwsacruncher alternatives in Analytics are ranked by recent ship velocity. Browse the "rjwsacruncher alternatives" section above for the current picks, or visit /alternatives/rjwsacruncher for the full list with editorial commentary on each.