Package: scan 0.64.0

Juergen Wilbert

scan: Single-Case Data Analyses for Single and Multiple Baseline Designs

A collection of procedures for analysing, visualising, and managing single-case data. These include piecewise linear regression models, multilevel models, overlap indices ('PND', 'PEM', 'PAND', 'PET', 'tau-u', 'baseline corrected tau', 'CDC'), and randomization tests. Data preparation functions support outlier detection, handling missing values, scaling, and custom transformations. An export function helps to generate html, word, and latex tables in a publication friendly style. More details can be found in the online book 'Analyzing single-case data with R and scan', Juergen Wilbert (2025) <https://jazznbass.github.io/scan-Book/>.

Authors:Juergen Wilbert [cre, aut], Timo Lueke [aut]

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scan.pdf |scan.html
scan/json (API)
NEWS

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

Bug tracker:https://github.com/jazznbass/scan/issues

On CRAN:

Conda:

6.47 score 4 stars 1 packages 62 scripts 758 downloads 47 mentions 76 exports 114 dependencies

Last updated 13 days agofrom:65b169d413. Checks:4 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 19 2025
R-4.5-winOKMar 19 2025
R-4.5-macOKMar 19 2025
R-4.5-linuxOKMar 19 2025
R-4.4-winNOTEMar 19 2025
R-4.4-macNOTEMar 19 2025
R-4.4-linuxNOTEMar 19 2025
R-4.3-winNOTEMar 19 2025
R-4.3-macNOTEMar 19 2025

Exports:%>%across_casesadd_dummy_variablesadd_l2all_casesas_scdfautocorrbatch_applybetween_smdbplmcdccombineconvertcorrected_taudescribedesignestimate_designexportfetchfill_missingfillmissingSCfirst_ofhplmirdis.scdflocal_regressionmoving_meanmoving_medianmplmnapoutlieroverlapoverlapSCpandpempetplmplot_randplotSCpndpower_testpower_testSCrand_testrand.testrandom_scdfrandSCranksrcirciSCread_scdfreadSCreadSC.excelrescalerSCsample_namesscdfscdf_attrscdf_attr<-select_casesselect_phasesset_dvarset_mvarset_pvarset_varsshiftshinyscansmdsmooth_casesstandardizestyle_plottau_utauUSCtrendtruncate_phasewrite_scdfwriteSC

Dependencies:abindapebackportsbase64encbigDbitopsbootbroombslibcachemcarcarDatacellrangerclicodacolorspacecommonmarkcorpcorcowplotcpp11crayoncubaturecurlDerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2gluegtgtablehighrhmshtmltoolshtmlwidgetsisobandjquerylibjsonlitejuicyjuicekableExtraknitrlabelinglatticelifecyclelme4magrittrmarkdownMASSMatrixMatrixModelsmblmMCMCglmmmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigprettyunitsprogresspurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreactablereactRreadxlreformulasrematchrlangrmarkdownrstudioapisassscalesSparseMstringistringrsurvivalsvglitesystemfontstensorAtibbletidyrtidyselecttinytexutf8V8vctrsviridisLitewithrxfunxml2yaml

Readme and manuals

Help Manual

Help pageTopics
Add Dummy Variables for Piecewise Linear Modelsadd_dummy_variables
Add level-2 dataadd_l2
ANOVA Table for Piecewise Linear Modelsanova.sc_hplm anova.sc_mplm anova.sc_plm
as_scdfas_scdf
Creating a long format data frame from several single-case data frames (scdf).as.data.frame.scdf
Autocorrelation for single-case dataautocorr
Apply a function to each element in an scdf.batch_apply
Between-Case Standardized Mean Differencebetween_smd print.sc_bcsmd
Bayesian Piecewise Linear Modelbplm export.sc_bplm print.sc_bplm
Conservative Dual-Criterion Methodcdc
Extract coefficients from plm/hplm objectscoef.sc_plm
Combine single-case data framesc.scdf combine
Convertconvert
Baseline corrected taucorrected_tau
Descriptive statistics for single-case datadescribe
Generate a single-case design matrixdesign
Estimate single-case designestimate_design
Export scan objects to html or latexexport export.scdf export.scdf_summary export.sc_desc export.sc_nap export.sc_overlap export.sc_pem export.sc_pet export.sc_plm export.sc_pnd export.sc_power export.sc_smd export.sc_trend
Fetches elements from scan objects Getter function for scan objectsfetch
Replacing missing measurement times in single-case datafill_missing
Hierarchical piecewise linear model / piecewise regressioncoef.sc_hplm export.sc_hplm hplm print.sc_hplm
IRD - Improvement rate differenceird print.sc_ird
scdf objects Tests for objects of type "scdf"is.scdf
Transform every single case of a single case data frameacross_cases all_cases first_of local_regression moving_mean moving_median transform.scdf
Multivariate Piecewise linear model / piecewise regressionmplm print.sc_mplm
scdf objects Removes any row with a missing valuena.omit.scdf
Nonoverlap of all Pairsnap
Handling outliers in single-case dataoutlier
Overlap indices for single-case dataoverlap
Percentage of all non-overlapping dataexport.sc_pand pand print.sc_pand
Percent exceeding the medianpem
Percent exceeding the trendpet
Piecewise linear model / piecewise regressionplm
Plot random distributionplot_rand
(Deprecated) Plot single-case dataplot.scdf plotSC
Percentage of non-overlapping datapnd
Empirical power analysis for single-case datapower_test
Print an scdfprint.scdf
Randomization Tests for single-case datarand_test
Single-case data generatorrandom_scdf
Reliable change indexrci
Load single-case data from filesread_scdf
Samples random namessample_names
Single case data frameas.scdf scdf scdf-class
Select a subset of casesselect_cases
Select and combine phases for overlap analysesselect_phases
Set analysis variables in an scdfset_dvar set_mvar set_pvar set_vars
A Shiny app for scanshinyscan
Standardized mean differencessmd
(Deprecated) Create styles for single-case data plotsstyle_plot
Subset cases, rows, and variablessubset.scdf
Summary function for an scdfsummary.scdf
Tau-U for single-case dataexport.sc_tauu print.sc_tauu tau_u
Trend analysis for single-cases datatrend
Data outputwrite_scdf