overlap | R Documentation |
The overlap
function provides the most common overlap indices for
single-case data and some additional statistics.
overlap(data, dvar, pvar, mvar, decreasing = FALSE, phases = c(1, 2))
data |
A single-case data frame. See |
dvar |
Character string with the name of the dependent variable. Defaults to the attributes in the scdf file. |
pvar |
Character string with the name of the phase variable. Defaults to the attributes in the scdf file. |
mvar |
Character string with the name of the measurement time variable. Defaults to the attributes in the scdf file. |
decreasing |
If you expect data to be lower in the B phase, set
|
phases |
A vector of two characters or numbers indicating the two phases
that should be compared. E.g., |
See corresponding functions of PND, PEM, PET, NAP, PAND for
calculation. Tau_U(A) reports "A vs. B - Trend A" whereas Tau_U(BA) reports
"A vs. B + Trend B - Trend A". Base_Tau is baseline corrected tau
(correction applied when autocorrelation in phase A is significant).
Diff_mean is the mean difference. Diff_trend is the difference in the
regression estimation of the dependent variable on measurement-time (x ~ mt
) for each phase. SMD is the mean difference divided by the standard
deviation of phase A. Hedges_g is the mean difference divided by the pooled
standard deviation: \sqrt{ (n_A - 1)sd_A^2 + (n_B - 1)sd_B^2 \over n_A
+ n_B - 2 }
with a hedges correction applied: Hedges_g * (1 -
\frac{3}{4n - 9} ) )
.
overlap | A data frame consisting of the following indices for each single-case for all cases: PND, PEM, PET, NAP, PAND, IRD, Tau-U (A vs. B - Trend A), Diff_mean, Diff_trend, SMD, Hedges-g. |
phases.A | Selection for A phase. |
phases.B | Selection for B phase. |
design | Phase design. |
Juergen Wilbert
Other overlap functions:
cdc()
,
ird()
,
nap()
,
pand()
,
pem()
,
pet()
,
pnd()
,
tau_u()
## Display overlap indices for one single-case
overlap(Huitema2000, decreasing = TRUE)
## Display overlap indices for six single-cases
overlap(GruenkeWilbert2014)
## Combining phases for analyszing designs with more than two phases
overlap(exampleA1B1A2B2, phases = list(c("A1","A2"), c("B1","B2")))
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