View source: R/graphing-functions.R
graph_SCD | R Documentation |
Graphs single case design data for treatment reversal and multiple baseline designs.
graph_SCD(
design,
case,
phase,
session,
outcome,
cluster = NULL,
series = NULL,
treatment_name = NULL,
model_fit = NULL,
data = NULL,
newdata = 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 |
treatment_name |
(Optional) character string corresponding to the name of the treatment phase. |
model_fit |
(Optional) lme fitted model that adds predicted values to graph |
data |
(Optional) dataset to use for analysis. Must be a
|
newdata |
(Optional) dataset to use for calculating predicted values
based on |
A ggplot graph
If treatment_name is left null it will choose the second level of the phase variable to be the treatment phase.
if (requireNamespace("ggplot2", quietly = TRUE)) {
data(Anglesea)
graph_SCD(design="TR",
case=case, phase=condition,
session=session, outcome=outcome,
treatment_name = "treatment",
data=Anglesea)
data(BartonArwood)
graph_SCD(design="MBP",
case=case, phase=condition,
session=session, outcome=outcome,
treatment_name = "B",
data=BartonArwood)
data(Thiemann2001)
graph_SCD(design="RMBB",
case=case, series = series, phase=treatment,
session=time, outcome=outcome,
treatment_name = "treatment",
data=Thiemann2001)
data(Bryant2018)
graph_SCD(design="CMB",
cluster=group, case=case, phase=treatment,
session=session, outcome=outcome,
treatment_name = "treatment",
data=Bryant2018)
}
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