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

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

## Documentation for package ‘scan’ version 0.60.0

- DESCRIPTION file.

## Help Pages

across_cases | Transform every single case of a single case data frame
add_l2 | Add level-2 data
all_cases | Transform every single case of a single case data frame
as.data.frame.scdf | Creating a long format data frame from several single-case data frames (scdf).
as.scdf | Single case data frame
as_scdf | as_scdf
autocorr | Autocorrelation for single-case data
batch_apply | Apply a function to each element in an scdf.
c.scdf | Combine single-case data frames
cdc | Conservative Dual-Criterion Method
coef.sc_hplm | Hierarchical piecewise linear model / piecewise regression
coef.sc_plm | Extract coefficients from plm/hplm objects
combine | Combine single-case data frames
convert | Convert
corrected_tau | Baseline corrected tau
describe | Descriptive statistics for single-case data
design | Generate a single-case design matrix
estimate_design | Estimate single-case design
export | Export scan objects to html or latex
export.scdf | Export scan objects to html or latex
export.sc_desc | Export scan objects to html or latex
export.sc_hplm | Hierarchical piecewise linear model / piecewise regression
export.sc_nap | Export scan objects to html or latex
export.sc_overlap | Export scan objects to html or latex
export.sc_pand | Percentage of all non-overlapping data
export.sc_pem | Export scan objects to html or latex
export.sc_plm | Export scan objects to html or latex
export.sc_power | Export scan objects to html or latex
export.sc_smd | Export scan objects to html or latex
export.sc_tauu | Tau-U for single-case data
export.sc_trend | Export scan objects to html or latex
fill_missing | Replacing missing measurement times in single-case data
first_of | Transform every single case of a single case data frame
hplm | Hierarchical piecewise linear model / piecewise regression
ird | IRD - Improvement rate difference
is.scdf | scdf objects Tests for objects of type "scdf"
local_regression | Transform every single case of a single case data frame
moving_mean | Transform every single case of a single case data frame
moving_median | Transform every single case of a single case data frame
mplm | Multivariate Piecewise linear model / piecewise regression
nap | Nonoverlap of all Pairs
outlier | Handling outliers in single-case data
overlap | Overlap indices for single-case data
pand | Percentage of all non-overlapping data
pem | Percent exceeding the median
pet | Percent exceeding the trend
plm | Piecewise linear model / piecewise regression
plot.scdf | Plot single-case data
plotSC | Plot single-case data
plot_rand | Plot random distribution
pnd | Percentage of non-overlapping data
power_test | Empirical power analysis for single-case data
print.scdf | Print an scdf
print.sc_hplm | Hierarchical piecewise linear model / piecewise regression
print.sc_ird | IRD - Improvement rate difference
print.sc_mplm | Multivariate Piecewise linear model / piecewise regression
print.sc_pand | Percentage of all non-overlapping data
print.sc_tauu | Tau-U for single-case data
random_scdf | Single-case data generator
rand_test | Randomization Tests for single-case data
rci | Reliable change index
read_scdf | Load single-case data from files
sample_names | Samples random names
scdf | Single case data frame
scdf-class | Single case data frame
select_cases | Select a subset of cases
select_phases | Select and combine phases for overlap analyses
set_dvar | Set analysis variables in an scdf
set_mvar | Set analysis variables in an scdf
set_pvar | Set analysis variables in an scdf
set_vars | Set analysis variables in an scdf
shinyscan | A Shiny app for scan
smd | Standardized mean differences
style_plot | Create styles for single-case data plots
subset.scdf | Subset cases, rows, and variables
summary.scdf | Summary function for an scdf
tau_u | Tau-U for single-case data
transform.scdf | Transform every single case of a single case data frame
trend | Trend analysis for single-cases data
write_scdf | Data output