Score a set of items to create overall scale score - generic
score(
data,
reverse = NULL,
limits = NULL,
mean = TRUE,
reliability = TRUE,
na.rm = TRUE,
...
).scoreCESD(data, okay = c(0, 1, 2, 3), reverse = c(4, 8, 12, 16), ...)
.scoreLOTR(
data,
okay = c(1, 2, 3, 4, 5),
reverse = c(2, 4, 5),
indices = list(oindex = c(1, 3, 6), pindex = c(2, 4, 5)),
...
)
.scoreMastery(data, okay = c(1, 2, 3, 4), reverse = c(1, 6), ...)
.scoreMOSSSS(
data,
okay = c(1, 2, 3, 4, 5),
indices = list(Structural = 1, Tangible = c(2, 5, 12, 15), Affectionate = c(6, 10, 20),
PositiveInteraction = c(7, 11, 18), EmotionalInformational = c(3, 9, 16, 19, 4, 8,
13, 17), Functional = 2:20),
...
)
.scorePANAS(
data,
okay = c(1, 2, 3, 4, 5),
indices = list(pos = c(1, 3, 5, 9, 10, 12, 14, 16, 17, 19), neg = c(2, 4, 6, 7, 8, 11,
13, 15, 18, 20)),
...
)
.scoreRSES(data, okay = c(0, 1, 2, 3), reverse = c(3, 5, 8, 9, 10), ...)
.scoreMOOD(
data,
indices = list(vision = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 18, 19), impact =
c(13, 14, 15, 16, 17, 20, 21)),
...
)
scaleScore(
data,
type = c("CESD", "LOTR", "Mastery", "RSES", "MOSSSS", "PANAS"),
...
)
A list containing the results.
The calculated scores.
Results from the omega function.
A data frame or an object coercable to a data frame.
A vector the same length as the number of columns in the data
An optional vector indicating the lower and upper possible limits (for reversing)
Logical whether to calculate the mean if TRUE or sum if FALSE
Logical whether or not to calculate reliability information for the scale.
Defaults to TRUE.
Logical whether to remove missing values or not. Defaults to TRUE
Additional arguments passed on to lower level functions
A vector of okay or acceptable values
Indicates columns for subscales, where applicable
A character string indicating the scale name, the type of scoring to use.
omega