...say you have a multivariate dataset and a two-way factorial design - you do a PERMANOVA and the aov-table (adonis is using ANOVA or "sum"-contrasts) tells you there is an interaction - how to proceed when you want to go deeper into the analysis?
You could, however somewhat tedious, customize contrasts for the PERMANOVA and check for differences between certain level combinations.
8 Aug 2011
26 Apr 2011
Adonis (PERMANOVA) - Assumptions
Before you use PERMANOVA (R-vegan function adonis) you should read the user notes for the original program by the author (Marti J. Anderson) who first came up with this method. An important assumtption for PERMANOVA is same "multivariate spread" among groups, which is similar to variance homogeneity in univariate ANOVA.
Labels:
adonis assumptions
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adonis()
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betadisper()
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Multivariate Spread
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PERMANOVA
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PERMANOVA Assumptions
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R
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Vegan Package
21 Apr 2011
Permutation Test with Stratified Data and Repeated Measurements
This is an example for a permutation test on stratified samples with repeated measurements. Samples are interdependent firstly because they come from several sites and secondly because the sampling was repeated a second time. That is samples of the same sites are dependent and sample t1 and sample t2, taken from the very same places are dependent.
What I want to test is whether there is a difference between timepoint one (t1) and two (t2) or not. A hypothesis could be: the average difference t1-t2 is sign. larger than zero (a one-sided test). Another hypothesis could be: the average difference is sign. different from zero, either larger or smaller (a two-sided test).
If you deal with a distribution of your data that ordinary Linear Mixed Models (LMMs) or Generalized LMMs (GLMMs) can handle you should vote for this option - but sometimes you deal with awkard data and permutation tests may the only thing to bail you out...
What I want to test is whether there is a difference between timepoint one (t1) and two (t2) or not. A hypothesis could be: the average difference t1-t2 is sign. larger than zero (a one-sided test). Another hypothesis could be: the average difference is sign. different from zero, either larger or smaller (a two-sided test).
If you deal with a distribution of your data that ordinary Linear Mixed Models (LMMs) or Generalized LMMs (GLMMs) can handle you should vote for this option - but sometimes you deal with awkard data and permutation tests may the only thing to bail you out...
Labels:
paired samples
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permutation test
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permuted.index2
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R
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Repeated Measures
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Stratified data
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Vegan Package
20 Apr 2011
Custom Labels for Ordination Diagram
Here is how you do custom labels, hull, spider in a vegan ordination diagram:
Labels:
Custom labels
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Hull
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metaMDS
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NMDS Plot
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Ordination diagram
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R
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R Graphs
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Vegan Package
18 Apr 2011
Multivariate Repeated Measurements with adonis():
Please check the updated code in the comment by Wallace Beiroz, 26 January 2015 at 13:37!
Lately I had to figure out how to do a repeated measures (or mixed effects) analysis on multivariate (species) data. Here I share code for a computation in R with the adonis function of the vegan package. Credit goes to Gavin Simpson providing most of the important pieces of the below code in R-Help.
Labels:
adonis()
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for loop
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Multivariate Data
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Multivariate Repeated Measures
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PERMANOVA
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R
,
Vegan Package
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