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

This package provides 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, tauU, baseline corrected tau), and randomization tests. Data preparation functions support outlier detection, handling missing values, scaling, truncating, rank transformation, and smoothing. An exporting 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/.

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Install

install.packages('scan')

Monthly Downloads

775

Version

0.56

License

GPL (>= 3)

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Repository

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

Homepage

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

Maintainer

Juergen Wilbert

Last Published

February 16th, 2023

Functions in scan (0.56)

Descriptive statistics for single-case data

Export scan objects to html or latex

estimate_design

Estimate single-case design

Replacing missing measurement times in single-case data

Baseline corrected tau

Hierarchical piecewise linear model / piecewise regression

List of old deprecated function names

Covert Converts an scdf object to a text syntax

Generate a single-case design matrix

Dummy function to inherit global descriptions of parameters

scdf objects Tests for objects of type "scdf"

Multivariate Piecewise linear model / piecewise regression

Overlap indices for single-case data

Nonoverlap of all Pairs

Percent exceeding the median

Percent exceeding the trend

Handling outliers in single-case data

Percentage of all non-overlapping data

Piecewise linear model / piecewise regression

Percentage of non-overlapping data

Reliable change index

Empirical power analysis for single-case data

Print methods for scan objects

Single-case data generator

Rank-transformation of single-case data files

Plot single-case data

Randomization Tests for single-case data

Plot random distribution

Samples random names

Load single-case data from files

Set analysis variables in an scdf

Select and combine phases for overlap analyses

Single case data frame

Single-Case Data Analyses

Shift values in a single-case data file

Select a subset of cases

Set and get scdf attributes

Standardized mean differences

Truncate single-case data

Write data into a .csv-file

Trend analysis for single-cases data

Transform variables in every single case of a single case data frame

Tau-U for single-case data

Standardize values of an scdf file

Smoothing single-case data

Summary function for an scdf

Create styles for single-case data plots

Subset cases, rows, and variables

Extract coefficents from plm/hplm objects

Autocorrelation for single-case data

as.data.frame.scdf

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

as_scdf Converts a data frame to an scdf object.

Validity check for an scdf object

Combine single-case data frames

Conservative Dual-Criterion Method

Single-case example data