MCI-methods: Computing the standartizied distance from the mean

Description Usage Arguments Value

Description

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

Usage

 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, ...)

Arguments

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 lm, such as subset or na.action. See ‘Details’ about weights.

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 Error term, and supplying contrasts for factors only in the Error term will give a warning.

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'.

Value

standartizied distance from the mean


umd-lib/animalmove documentation built on May 3, 2019, 2:24 p.m.