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errors vs qtl

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

errors vs qtl: at a glance

Featureerrorsqtl
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesuncertainty-propagation, measurement, r-quantities, formattinggenetics, qtl-mapping, statistical-genomics, r-package
Last editorial update37m ago1h ago
WebsiteVisit →Visit →

What is errors?

errors keeps making uncertainty print the way each scientific field expects.

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

Read the full errors trajectory →

What is qtl?

R/qtl is in pure custodial mode: every recent release answers a compiler, not a user

R/qtl is the long-established R package for QTL mapping in experimental crosses, covering interval mapping, composite interval mapping, multiple-QTL model fitting and the associated cross data formats. Nothing in the recent release history adds capability. Version 1.74 removes an include that started warning on CRAN, 1.72 improves an error message in cim(), and 1.70 migrates the C code from Calloc/Realloc/Free to their R_-prefixed equivalents for R-devel.

Read the full qtl trajectory →

errors vs qtl: editorial side-by-side

E
errors
ANALYTICS
0.0

errors keeps making uncertainty print the way each scientific field expects.

◆ Current state

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

◆ Where it's heading

Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.

◆ Prediction

Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.

Q
qtl
ANALYTICS
0.0

R/qtl is in pure custodial mode: every recent release answers a compiler, not a user

◆ Current state

R/qtl is the long-established R package for QTL mapping in experimental crosses, covering interval mapping, composite interval mapping, multiple-QTL model fitting and the associated cross data formats. Nothing in the recent release history adds capability. Version 1.74 removes an include that started warning on CRAN, 1.72 improves an error message in cim(), and 1.70 migrates the C code from Calloc/Realloc/Free to their R_-prefixed equivalents for R-devel.

◆ Where it's heading

The package is being maintained, not developed. The work divides cleanly into keeping the compiled code building against successive R and toolchain versions, and fixing narrow bugs reported through the issue tracker. The C-level migrations in particular are compliance with R's tightening of its C interface rather than anything chosen. Users should read the stability as maturity: the analysis surface has been fixed for years and the maintainer is keeping it installable.

◆ Prediction

R has continued to restrict its non-API C entry points, and this package has already made two such migrations, so further compile-time compliance work is the most likely content of the next release.

Alternatives to errors and qtl

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 errors or qtl.

See all errors alternatives → · See all qtl alternatives →

Recent activity from errors and qtl

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

  1. 8mo agoqtlRemove R_ext/PrtUtil.h include flagged by CRAN
  2. 8mo agoqtlClearer cim() error when multiple phenotypes are passed
  3. 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
  4. 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
  5. 1y agoqtlC memory calls migrated to R_Calloc/R_Realloc/R_Free
  6. 2y agoerrorserrors 0.4.2 adds PDG rounding rules
  7. 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
  8. 2y agoqtlFix Rprintf call and remaining compiler warnings
  9. 2y agoqtlFix summary.scanone() thresholds and csvs phenotype reading
  10. 3y agoqtlFix addint()/addcovarint() with X chromosome QTL and missing phenotypes
  11. 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
  12. 5y agoerrorserrors 0.3.6

Frequently asked questions

What is the difference between errors and qtl?

They serve adjacent needs but don't currently overlap on shipped themes. errors and qtl 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 errors better than qtl?

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

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

What are the best alternatives to qtl?

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