permute.BACI: Does non-parametric randomisation test for the interaction...
In emon: Tools for Environmental and Ecological Survey Design
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Description
We have control and treatment data from time 1 in a BACI design, plus control and treatment
data from time 2. The interaction the amount that the difference in the control and
treatment meansis different between times 1 and 2.
Usage
1
permute.BACI(t1, c1, t2, c2, nreps=999)
Arguments
t1
Data vector for the treatment at time 1
c1
Data vector for the control at time 1
t2
Data vector for the treatment at time 2
c2
Data vector for the control at time 2
nreps
Number of replications used in the randomisation and generation of
the p-value. Default is nreps=999
Details
There are several permutation that can be used to generate the null distribution for
the interaction (see Manly, 2006 and Anderson and Terr Braak, 2003). The method used here is
to do a complete randomisation of the raw data.
The p-value is calculated as suggested by Manly (2006).
Value
The p-value is returned as $p.value
Author(s)
Jon Barry: Jon.Barry@cefas.co.uk
References
Manly BFJ (2006) Randomization, Bootstrap And Monte Carlo Methods in Biology: 3rd edition. Chapman and Hall.
Anderson, M.J. and Ter Braak, C.J.F. (2003). Permutation tests for multi-factorial analysis of
variance. Journal of Computation and Simulation, 73, 85-113.
See Also
emon documentation built on May 2, 2019, 6:02 p.m.
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Description Usage Arguments Details Value Author(s) References See Also
Description
We have control and treatment data from time 1 in a BACI design, plus control and treatment data from time 2. The interaction the amount that the difference in the control and treatment meansis different between times 1 and 2.
Usage
1 | permute.BACI(t1, c1, t2, c2, nreps=999)
|
Arguments
t1 |
Data vector for the treatment at time 1 |
c1 |
Data vector for the control at time 1 |
t2 |
Data vector for the treatment at time 2 |
c2 |
Data vector for the control at time 2 |
nreps |
Number of replications used in the randomisation and generation of
the p-value. Default is |
Details
There are several permutation that can be used to generate the null distribution for the interaction (see Manly, 2006 and Anderson and Terr Braak, 2003). The method used here is to do a complete randomisation of the raw data.
The p-value is calculated as suggested by Manly (2006).
Value
The p-value is returned as $p.value
Author(s)
Jon Barry: Jon.Barry@cefas.co.uk
References
Manly BFJ (2006) Randomization, Bootstrap And Monte Carlo Methods in Biology: 3rd edition. Chapman and Hall.
Anderson, M.J. and Ter Braak, C.J.F. (2003). Permutation tests for multi-factorial analysis of variance. Journal of Computation and Simulation, 73, 85-113.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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