Package: NormData 1.1

NormData: Derivation of Regression-Based Normative Data

Normative data are often used to estimate the relative position of a raw test score in the population. This package allows for deriving regression-based normative data. It includes functions that enable the fitting of regression models for the mean and residual (or variance) structures, test the model assumptions, derive the normative data in the form of normative tables or automatic scoring sheets, and estimate confidence intervals for the norms. This package accompanies the book Van der Elst, W. (2024). Regression-based normative data for psychological assessment. A hands-on approach using R. Springer Nature.

Authors:Wim Van der Elst [aut, cre]

NormData_1.1.tar.gz
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NormData.pdf |NormData.html✨
NormData/json (API)
NEWS

# Install 'NormData' in R:
install.packages('NormData', repos = c('https://wimvde001.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Fluency - Verbal fluency data
  • GCSE - GCSE exam score
  • Personality - Data of the Openness scale of a personality test
  • STAS - State-Trait Anger Scale
  • Substitution - Substitution test data
  • TMAS - TMAS data
  • VLT - Verbal Learning Test data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

37 exports 0.23 score 64 dependencies 15 scripts 215 downloads

Last updated 5 months agofrom:740243e4e9. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winOKSep 13 2024
R-4.5-linuxOKSep 13 2024
R-4.4-winOKSep 13 2024
R-4.4-macOKSep 13 2024
R-4.3-winOKSep 13 2024
R-4.3-macOKSep 13 2024

Exports:Bootstrap.Stage.2.NormScoreBootstrap.Stage.2.NormTableCheck.AssumCheckFitCodingDensitiesExploreDataFract.PolyGLTICCLevelsplot.Bootstrap.Stage.2.NormScoreplot.CheckFitplot.ExploreDataplot.ICCPlot.Scatterplot.Matrixplot.Stage.1plot.Stage.2.NormScoreplot.Tukey.HSDPlotFittedPolySandwichStage.1Stage.2.AutoScoreStage.2.NormScoreStage.2.NormTablesummary.Bootstrap.Stage.2.NormScoresummary.CheckFitsummary.ExploreDatasummary.GLTsummary.ICCsummary.Sandwichsummary.Stage.1summary.Stage.2.NormScoresummary.Stage.2.NormTablesummary.Tukey.HSDTukey.HSDWriteNormTable

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivopenxlsxpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangsandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzipzoo

Readme and manuals

Help Manual

Help pageTopics
Bootstraps a confidence interval for a percentile rankBootstrap.Stage.2.NormScore
Bootstraps confidence intervals for a normative tableBootstrap.Stage.2.NormTable
Check assumptions for a fitted Stage 1 modelCheck.Assum
Check the fit of the mean structure of a regression modelCheckFit
Check the coding of a variableCoding
Plot densitiesDensities
Explore dataExploreData
Verbal fluency dataFluency
Fit fractional polynomialsFract.Poly
GCSE exam scoreGCSE
Conduct the General Linear Test (GLT) procedureGLT
Intra class correlationICC
Explore dataLevels
Data of the Openness scale of a personality testPersonality
Plot the bootstrap distribution and the percentile bootstrap CIplot Bootstrap.Stage.2.NormScore plot.Bootstrap.Stage.2.NormScore
Evaluate the fit of the mean structure of a fitted Stage 1 model.plot CheckFit plot.CheckFit
Plot means and CIs for test scores.plot ExploreData plot.ExploreData
Graphical depiction of the ICC.plot ICC plot.ICC
Check the model assumptions for a fitted Stage 1 model graphically.plot Stage.1 plot.Stage.1
Plot the results for a 'Stage.2.NormScore' object.plot Stage.2.NormScore plot.Stage.2.NormScore
Plot the results of Tukey's Honest Significance Difference test.plot Tukey.HSD plot.Tukey.HSD
Explore dataPlot.Scatterplot.Matrix
Explore dataPlotFittedPoly
Sandwich estimators for standard errorsSandwich
Stage 1 of the regression-based normative analysisStage.1
Make an automatic scoring sheetStage.2.AutoScore
Convert a raw score to a percentile rankStage.2.NormScore
Derive a normative tableStage.2.NormTable
State-Trait Anger Scale (STAS)STAS
Substitution test dataSubstitution
TMAS dataTMAS
Conducts Tukey's Honest Significance Difference testTukey.HSD
Verbal Learning Test dataVLT
Write a normative table from R to a .txt/.csv/.xlsx fileWriteNormTable