scoring | R Documentation |
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"),
...
)
data |
A data frame or an object coercable to a data frame. |
reverse |
A vector the same length as the number of columns in the data |
limits |
An optional vector indicating the lower and upper possible limits (for reversing) |
mean |
Logical whether to calculate the mean if |
reliability |
Logical whether or not to calculate reliability information for the scale.
Defaults to |
na.rm |
Logical whether to remove missing values or not. Defaults to |
... |
Additional arguments passed on to lower level functions |
okay |
A vector of okay or acceptable values |
indices |
Indicates columns for subscales, where applicable |
type |
A character string indicating the scale name, the type of scoring to use. |
A list containing the results.
score |
The calculated scores. |
reliability |
Results from the omega function. |
omega
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