Description Usage Arguments Value
Computing the standartizied distance from the mean
Movement Coordination Index
Movement Coordination Index
ANOVA object computed for Movement Coordination Index object
Helper method to compute MCIndex
TukeyHSD object computed for Movement Coordination Index object
Kruskal Test object computed for Movement Coordination Index object
KruskalMC object computed for Movement Coordination Index object
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | ## S3 method for class 'std.mean'
abs(x)
## S4 method for signature 'SpatialPointsDataFrame'
mci.index(object, group.by, time.lag, ...)
## S4 method for signature 'Individuals'
mci.index(object, time.lag, ...)
## S4 method for signature 'MCIndex,missing,missing,missing,missing'
aov(formula, data,
projections, qr, contrasts, ...)
aov.mci(formula, data = NULL, projections = FALSE, qr = TRUE,
contrasts = NULL, print = FALSE)
## S4 method for signature 'MCIndex,missing'
TukeyHSD(x, which, ...)
## S4 method for signature 'MCIndex'
kruskal.test(x, ...)
## S4 method for signature 'MCIndex'
kruskalmc(resp, ...)
|
x |
- numeric vector |
object |
An Individuals object |
object |
An Individuals object |
object |
An MCIndex object |
object |
An MCIndex object |
object |
An MCIndex object |
object |
An MCIndex object |
object |
An MCIndex object |
... |
Arguments to be passed to |
formula |
A formula specifying the model. |
data |
A data frame in which the variables specified in the formula will be found. If missing, the variables are searched for in the standard way. |
projections |
Logical flag: should the projections be returned? |
qr |
Logical flag: should the QR decomposition be returned? |
contrasts |
A list of contrasts to be used for some
of the factors in the formula. These are not used for any
|
which |
A character vector listing terms in the fitted model for which the intervals should be calculated. Defaults to all the terms. |
resp |
a numeric vector of data values or a formula of the type 'response~category'. |
standartizied distance from the mean
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