Learn R Programming

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, truncation, rank transformation, and smoothing. An export function helps to generate html and latex tables in a publication friendly style.

More details can be found at https://jazznbass.github.io/scan-Book/.

Copy Link

Version

Install

install.packages('scan')

Monthly Downloads

775

Version

0.64.0

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/jazznbass/scan/

Homepage

https://jazznbass.github.io/scan-Book/

Maintainer

Juergen Wilbert

Last Published

March 19th, 2025

Functions in scan (0.64.0)

Baseline corrected tau

Combine single-case data frames

estimate_design

Estimate single-case design

deprecated-functions

List of old deprecated function names

Descriptive statistics for single-case data

Extract coefficients from plm/hplm objects

Conservative Dual-Criterion Method

Dummy function to inherit global descriptions of parameters

Generate a single-case design matrix

Fetches elements from scan objects Getter function for scan objects

Replacing missing measurement times in single-case data

scdf objects Tests for objects of type "scdf"

Hierarchical piecewise linear model / piecewise regression

scdf objects Removes any row with a missing value

Multivariate Piecewise linear model / piecewise regression

Export scan objects to html or latex

Single-case example data

Nonoverlap of all Pairs

IRD - Improvement rate difference

Percentage of all non-overlapping data

Plot random distribution

Piecewise linear model / piecewise regression

Percentage of non-overlapping data

Overlap indices for single-case data

Percent exceeding the trend

Handling outliers in single-case data

Percent exceeding the median

(Deprecated) Plot single-case data

Print methods for scan objects

Empirical power analysis for single-case data

Samples random names

Reliable change index

Rescales values of an scdf file

Load single-case data from files

Randomization Tests for single-case data

(Deprecated) Rank-transformation of single-case data files

Single case data frame

Single-case data generator

Set analysis variables in an scdf

Select and combine phases for overlap analyses

Single-Case Data Analyses

A Shiny app for scan

Shift values in a single-case data file

Smoothing single-case data

Standardized mean differences

Select a subset of cases

Set and get scdf attributes

Trend analysis for single-cases data

Truncate single-case data

Tau-U for single-case data

Transform every single case of a single case data frame

Subset cases, rows, and variables

Standardize values of an scdf file

(Deprecated) Create styles for single-case data plots

Summary function for an scdf

Between-Case Standardized Mean Difference

Autocorrelation for single-case data

as.data.frame.scdf

Creating a long format data frame from several single-case data frames (scdf).

add_dummy_variables

Add Dummy Variables for Piecewise Linear Models

Bayesian Piecewise Linear Model

Apply a function to each element in an scdf.

ANOVA Table for Piecewise Linear Models

Add level-2 data