View source: R/preprocess-function.R
preprocess_SCD | R Documentation |
Clean single case design data for treatment reversal and multiple baseline designs.
preprocess_SCD(
design,
case,
phase,
session,
outcome,
cluster = NULL,
series = NULL,
center = 0,
round_session = TRUE,
treatment_name = NULL,
data = NULL
)
design |
Character string to specify whether data comes from a treatment
reversal ( |
case |
vector of case indicators or name of a character or factor vector
within |
phase |
vector of treatment indicators or name of a character or factor
vector within |
session |
vector of measurement occasions or name of numeric vector
within |
outcome |
vector of outcome data or name of numeric vector of outcome
data within |
cluster |
(Optional) vector of cluster indicators or name of a character
or factor vector within |
series |
(Optional) vector of series indicators or name of a character
or factor vector within |
center |
Numeric value for the centering value for session. Default is 0. |
round_session |
Logical indicating whether to round |
treatment_name |
(Optional) character string corresponding to the name of the treatment phase. |
data |
(Optional) dataset to use for analysis. Must be a
|
A cleaned SCD dataset that can be used for model fitting and effect size calculation.
If treatment_name is left null it will choose the second level of the phase variable to be the treatment phase.
data(Laski)
preprocess_SCD(design = "MBP",
case = case, phase = treatment,
session = time, outcome = outcome,
center = 4, data = Laski)
data(Anglesea)
preprocess_SCD(design="TR",
case=case, phase=condition,
session=session, outcome=outcome,
treatment_name = "treatment",
data=Anglesea)
data(Thiemann2001)
preprocess_SCD(design = "RMBB",
case = case, series = series, phase = treatment,
session = time, outcome = outcome,
data = Thiemann2001)
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