Analyzing single-case data with R and scan
Welcome
Preface
Software reference
1
Introduction
1.1
A teaser
2
Some things about R
2.1
Basic R
2.2
Installing the
scan
package
3
Managing single-case data
3.1
A
single-case data frame
3.2
Creating scdfs
3.3
Saving and reading
single-case data frames
3.4
Import and export
single-case data frames
3.5
Displaying and manipulating scdf-files
4
Creating a single-case data plot
4.1
Graphical styles of a plot
5
Describe and manipulate single-case data frames
5.1
Describing and summarizing
5.2
Autoregression and trendanalyses
5.3
Missing values
5.4
Outlieranalysis
5.5
Smoothing data
6
Overlapping indices
6.1
Percentage non-overlapping data (PND)
6.2
Percentage exceeding the median (PEM)
6.3
Percentage exceeding the regression trend (PET)
6.4
Percentage of all non-overlapping data (PAND)
6.5
Nonoverlap of all pairs (NAP)
6.6
Tau-U
6.7
Reliable change index
7
Piecewise linear regressions
7.1
The basic plm function
7.1.1
Dummy model
7.2
Different modells
7.3
Modelling autoregression
7.4
Adding additional predictors
8
Multilevel regression analyses
8.1
Adding additional L2-variables
9
Randomization tests
10
Exporting
scan
results
10.1
Single case data files
10.2
Descriptive stats
10.3
Overlap indices
10.4
Piecewise linear models
10.5
Hierarchical piecewise regressions
About the author
References
Published with bookdown
Analyzing single-case data with R and scan
Analyzing single-case data with R and scan
Jürgen Wilbert
2019-08-21
Welcome
