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Comparison · Infra & APIs

mdatools vs surveytidy

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

Shared themes:r-packages

mdatools vs surveytidy: at a glance

Featuremdatoolssurveytidy
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themeschemometrics, spectroscopy, classification, multiway-analysissurvey-statistics, tidyverse, dplyr-verbs, metadata-tracking
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is mdatools?

mdatools spun out its cross-validation method, then came back for three-way data.

mdatools is a long-running chemometrics package covering PCA, PLS regression, SIMCA and DD-SIMCA classification, MCR resolution and a large spectral preprocessing framework. Its releases are infrequent and each one tends to carry one substantive idea plus a handful of fixes. The June release opens a direction the package had not previously taken: DD-SIMCA classification of three-way data, through PARAFAC and Tucker decompositions.

Read the full mdatools trajectory →

What is surveytidy?

surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.

surveytidy is the tidyverse-facing half of a two-package survey stack, wrapping survey design objects from surveycore so filter, mutate, select and the rest work on them while carrying variable labels, value labels and a transformation log alongside the data. The May release extended that verb surface to survey_collection, the abstraction surveycore uses to hold several surveys as one object, so a pipeline written once dispatches across every member.

Read the full surveytidy trajectory →

mdatools vs surveytidy: editorial side-by-side

M
mdatools
INFRA · APIS
0.0

mdatools spun out its cross-validation method, then came back for three-way data.

◆ Current state

mdatools is a long-running chemometrics package covering PCA, PLS regression, SIMCA and DD-SIMCA classification, MCR resolution and a large spectral preprocessing framework. Its releases are infrequent and each one tends to carry one substantive idea plus a handful of fixes. The June release opens a direction the package had not previously taken: DD-SIMCA classification of three-way data, through PARAFAC and Tucker decompositions.

◆ Where it's heading

The shape of the package has been managed deliberately rather than allowed to sprawl. Procrustes cross-validation grew large enough to warrant its own package and was moved out to pcv in 0.14.0; preprocessing was consolidated in 0.12.0 into a composable prep() framework rather than a set of loose functions. Around that, the recurring work is numerical: a more stable SIMPLS implementation, cross-validation rewritten to accept user-supplied segment indices, prep.savgol() and prep.alsbasecorr() rewritten for speed, and now the baseline iteration default raised to match the web applications the maintainer also runs.

◆ Prediction

Three-way DD-SIMCA arrives with two decompositions and no companion regression or resolution methods for multiway data, so extending the multiway path to the rest of the toolkit is the obvious follow-up. The alignment of defaults with the maintainer's web applications suggests those two codebases will keep being reconciled.

S
surveytidy
INFRA · APIS
0.0

surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.

◆ Current state

surveytidy is the tidyverse-facing half of a two-package survey stack, wrapping survey design objects from surveycore so filter, mutate, select and the rest work on them while carrying variable labels, value labels and a transformation log alongside the data. The May release extended that verb surface to survey_collection, the abstraction surveycore uses to hold several surveys as one object, so a pipeline written once dispatches across every member.

◆ Where it's heading

The package is being built in two layers that arrive in order: vector-level transformations first, structural dispatch second. The make_* family in 0.4.0 handles the recoding that survey work actually consists of — labelled to factor, multi-level to dichotomous, scale reversal, valence flipping — with value labels propagating automatically. Collection support then applies data-masking, tidyselect, grouping, slicing and collapsing verbs per survey, with joins explicitly refused and a typed message reporting which surveys were skipped. Metadata fidelity is the recurring bug source: labels surviving across(), stale labels left behind by recoding, the transformation log keeping up with what the verbs did.

◆ Prediction

Joins are the one verb family that errors on collections, with users directed to join before constructing the collection, so that restriction is the clearest outstanding gap. The re-export of surveycore's collection constructors suggests the package is positioning itself as the single import users need, which points toward more re-exports as surveycore's stable API settles.

Alternatives to mdatools and surveytidy

Other Infra & APIs 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 mdatools or surveytidy.

See all mdatools alternatives → · See all surveytidy alternatives →

Recent activity from mdatools and surveytidy

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

  1. 1mo agomdatoolsDD-SIMCA classification arrives for three-way data
  2. 2mo agosurveytidymutate() syncs metadata for across() recodes
  3. 3mo agosurveytidydplyr and tidyr verbs dispatch across survey collections
  4. 5mo agosurveytidyFive label-aware recoding functions for use inside mutate()
  5. 5mo agomdatoolsv. 0.15.0
  6. 2y agomdatoolsData frames converted to matrices automatically for model training
  7. 3y agomdatoolscv.scope lets centering and scaling follow the global or local set
  8. 3y agomdatoolsProcrustes cross-validation moves out to its own pcv package
  9. 3y agomdatoolsgetRegcoeffs() fixed for unscaled models; ipls() gains a full mode

Frequently asked questions

What is the difference between mdatools and surveytidy?

Both compete on the same themes — r-packages — within Infra & APIs. mdatools and surveytidy 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 mdatools better than surveytidy?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mdatools and surveytidy 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to mdatools?

Top mdatools alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mdatools alternatives" section above for the current picks, or visit /alternatives/mdatools for the full list with editorial commentary on each.

What are the best alternatives to surveytidy?

Top surveytidy alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "surveytidy alternatives" section above for the current picks, or visit /alternatives/surveytidy for the full list with editorial commentary on each.