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errors vs tidytab

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

errors vs tidytab: at a glance

Featureerrorstidytab
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesuncertainty-propagation, measurement, r-quantities, formattingtidyverse, tabulation, r-package, dependency-modernisation
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 tidytab?

A young tabulation helper whose first releases are all dependency modernisation

tidytab is a small R package for tidyverse-style tabulation, three releases into its public life. Nothing so far has added functionality: 0.2.0 fixed a cumulative-percentage calculation and moved to the base R pipe, and 0.3.0 swapped a retired purrr function for tidyr::expand_grid. The one substantive user-facing item in the history is the cumulative percentage fix.

Read the full tidytab trajectory →

errors vs tidytab: 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.

T
tidytab
ANALYTICS
0.0

A young tabulation helper whose first releases are all dependency modernisation

◆ Current state

tidytab is a small R package for tidyverse-style tabulation, three releases into its public life. Nothing so far has added functionality: 0.2.0 fixed a cumulative-percentage calculation and moved to the base R pipe, and 0.3.0 swapped a retired purrr function for tidyr::expand_grid. The one substantive user-facing item in the history is the cumulative percentage fix.

◆ Where it's heading

The package is being brought up to current tidyverse conventions by a wave of first-time contributors — six of them in 0.2.0 alone — rather than developed by a sustained maintainer effort. That makes the near-term direction predictable and narrow: retire deprecated idioms, keep CRAN checks clean. There is not yet enough history to say what the package intends to become.

◆ Prediction

With deprecated tidyselect and purrr usage now cleared, the remaining work of this kind is thin, so the next release will show whether the contributor interest converts into new tabulation features or the package settles at its current surface.

Alternatives to errors and tidytab

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 tidytab.

See all errors alternatives → · See all tidytab alternatives →

Recent activity from errors and tidytab

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

  1. 7mo agotidytabpurrr::cross2() replaced with tidyr::expand_grid()
  2. 8mo agotidytabCumulative percentage fixed; base pipe replaces magrittr
  3. 9mo agotidytabNEWS.md added to track changes
  4. 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
  5. 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
  6. 2y agoerrorserrors 0.4.2 adds PDG rounding rules
  7. 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
  8. 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
  9. 5y agoerrorserrors 0.3.6

Frequently asked questions

What is the difference between errors and tidytab?

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

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

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