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mutagen vs rjdqa

A side-by-side editorial comparison of mutagen and rjdqa — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

mutagen vs rjdqa: at a glance

Featuremutagenrjdqa
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-manipulation, tidyverse, stata-port, r-packageofficial-statistics, seasonal-adjustment, quality-assurance, r-package
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is mutagen?

A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release

mutagen provides row-wise column-generation helpers for R data frames in the spirit of Stata's egen — gen_rowmean(), gen_rowsum(), gen_rowsd(), gen_rownonmiss() and about a dozen siblings. It reached 0.5.0 within three months of its first release, adding two or three functions each time. The most recent release adds gen_coldiff() and renames two functions to fit the naming scheme.

Read the full mutagen trajectory →

What is rjdqa?

rjdqa keeps refining one screen: the seasonal adjustment quality dashboard

rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().

Read the full rjdqa trajectory →

mutagen vs rjdqa: editorial side-by-side

M
mutagen
ANALYTICS
0.0

A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release

◆ Current state

mutagen provides row-wise column-generation helpers for R data frames in the spirit of Stata's egen — gen_rowmean(), gen_rowsum(), gen_rowsd(), gen_rownonmiss() and about a dozen siblings. It reached 0.5.0 within three months of its first release, adding two or three functions each time. The most recent release adds gen_coldiff() and renames two functions to fit the naming scheme.

◆ Where it's heading

The package is filling out a known surface rather than discovering one: the reference implementation exists in Stata, so development is a matter of working through the list. Alongside that, the naming convention is still settling — gen_rowmatch became gen_rowany, gen_percent became gen_colpercent, gen_na_listcol became gen_listcol_na — which is normal for a pre-1.0 package but means callers should expect further renames. Contributions are arriving from several first-time contributors.

◆ Prediction

The gen_col* prefix has only two members against a dozen gen_row* functions, so column-wise coverage is the obvious gap; expect it to fill before the naming stabilises for a 1.0.

R
rjdqa
ANALYTICS
0.0

rjdqa keeps refining one screen: the seasonal adjustment quality dashboard

◆ Current state

rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().

◆ Where it's heading

The package has converged on a single deliverable and is tuning it against reviewer practice. Each release adds a parameter that lets the analyst include or exclude one element of the dashboard, or adjusts how densely information is packed into the fixed space of the layout. The td_effect default — print the test only for monthly series — is characteristic: the knowledge about when a diagnostic is meaningful is being encoded into the tool rather than left to the reader.

◆ Prediction

The pattern of adding one toggle per diagnostic per release points at the same thing again, most likely another test given a conditional default, rather than a new dashboard function alongside the two that exist.

Alternatives to mutagen and rjdqa

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 mutagen or rjdqa.

See all mutagen alternatives → · See all rjdqa alternatives →

Recent activity from mutagen and rjdqa

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 8mo agomutagengen_coldiff() added; two functions renamed for consistency
  2. 9mo agomutagengen_rowsum() and gen_rowsd() added
  3. 9mo agomutagengen_rownonmiss() and gen_rowall() added
  4. 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
  5. 9mo agomutagenRow mean, median and missingness helpers; gen_rowmatch renamed
  6. 11mo agomutagenFirst release with the row-wise gen_* family
  7. 1y agorjdqaFix tail() usage on ts objects
  8. 2y agorjdqaFix dependency minimums and outlier ordering
  9. 2y agorjdqasimple_dashboard2() added; deprecated sa_dashboard() removed
  10. 2y agorjdqasimple_dashboard() introduced; sa_dashboard() deprecated
  11. 7y agorjdqaFirst CRAN release

Frequently asked questions

What is the difference between mutagen and rjdqa?

Both compete on the same themes — r-package — within Analytics. mutagen and rjdqa 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 mutagen better than rjdqa?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mutagen and rjdqa 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 mutagen?

Top mutagen alternatives in Analytics are ranked by recent ship velocity. Browse the "mutagen alternatives" section above for the current picks, or visit /alternatives/mutagen-r for the full list with editorial commentary on each.

What are the best alternatives to rjdqa?

Top rjdqa alternatives in Analytics are ranked by recent ship velocity. Browse the "rjdqa alternatives" section above for the current picks, or visit /alternatives/rjdqa-r for the full list with editorial commentary on each.