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10 votes

What is the reason behind the name "adonis" (for permutational MANOVA)?

Actually it isn't -- the statistical method is not called adonis. The authors of the vegan software package for R (http://vegan.r-forge.r-project.org) implemented the statistical procedure you refer ...
Gordon Smyth's user avatar
  • 12.9k
8 votes

Multivariate multiple regression in R

Well, I still don't have enough points to comment on previous answer and thats why I am writing it as a separate answer, so please pardon me. (If possible please push me over the 50 rep points ;) So ...
Mandar's user avatar
  • 240
6 votes

Discriminant Function Analysis in SPSS: Sorts effectively, but Box's M is still 0.000. Is the analysis worthless?

Box's M test is to check if the groups' covariances matrices are the same in the population; this homogeneity of covariances is as assumption of linear discriminant analysis (LDA). The test is quite ...
ttnphns's user avatar
  • 57.6k
5 votes

How to interpret type I, type II, and type III ANOVA and MANOVA?

For illustration I assume a two dimensional ANOVA model specified by y ~ A * B Type I ANOVA Line term in ANOVA table Hypothesis from model Hypothesis to model A y~...
svendvn's user avatar
  • 843
5 votes
Accepted

Why does MANOVA report values of F-statistic in addition to Pillai/Wilks/Hotelling/Roy?

The primary test statistics are the four values given: Pillai's trace, Wilks' lambda, Hotelling's trace and Roy's largest root. The distribution of each of these is, in general, complicated and so ...
mdewey's user avatar
  • 17.8k
5 votes
Accepted

What is the reason behind the name "adonis" (for permutational MANOVA)?

I am the culprit and this is my true confession: it was Hank's idea (Martin Henry H. Stevens). We already had a function called anosim (Analysis of Similarities, of Primer strain) in vegan, and even ...
Jari Oksanen's user avatar
4 votes
Accepted

How is MANOVA a case of the GLM?

Just as t-tests and ANOVAs are special cases of the univariate general linear model (as you show in your question), the univariate general linear model is also just a special case of the full general ...
Rose Hartman's user avatar
  • 2,185
4 votes

What particular measure to use? Multiple regression or MANOVA?

You have three outcomes and one input variable, you can't use multiple regression. Peter has clearly explained, you need to choose between three simple regression (taking one output at a time) or ...
Dr Nisha Arora's user avatar
4 votes

MANOVA as protection against Type I errors

Requiring a significant MANOVA or ANOVA before conducting individual t-tests can help protect against Type I error, but is not generally sufficient to provide strong Type I error control. For example, ...
Bonferroni's user avatar
4 votes
Accepted

What is the explanation of the difference caused by the order of variables in anova for the concrete example in R?

When you call anova on an lm model fit, under the hood you are really using ?anova.lm, which ...
mtoto's user avatar
  • 155
4 votes

MANOVA with variables from different datasets

One option here is to think of this as a missing data problem. You have varying amounts of information for each case (different tree species) that you have classified as one of five different species. ...
Matt Barstead's user avatar
3 votes

Why is Pillai's trace equal to partial eta squared in a repeated measures MANOVA (profile analysis)?

The short answer to your question is... ... in a multivariate context, there is much less of a distinction between hypothesis test statistics (e.g. F in a univariate context) and effect size ...
Rose Hartman's user avatar
  • 2,185
3 votes

Should I use MANOVA, ANOVA for Regression?

It sounds more like a multiple regression question. All three of MANOVA, ANOVA, and regression fit into the heading of the general linear model. ANOVA is a special case of the linear model where you ...
Conor Neilson's user avatar
3 votes
Accepted

Why is it rarely reported in papers which type of sums of squares is used in Anova results?

This is not an easy question to answer (at least for me) but my guess is that the great majority of people go with the default settings of the program that they are using (irrespective of whether this ...
Stefan's user avatar
  • 6,461
3 votes

Within-Subjects or Between-Subjects MANOVA

The error term will typically be lower when between-subjects variance is removed from error as it is in within-subject designs but not in between-subjects designs. As is often said: subjects are their ...
David Lane's user avatar
  • 1,374
3 votes
Accepted

A is correlated with B/ A has an impact on B

Counterexample: Acne causes kids to start middle school. No...they simply happen to coincide because both occur around the time kids are 10-12 and therefore starting middle school. This is true for ...
Dave's user avatar
  • 62.7k
3 votes

Is it okay to perform PerMANOVA on PCA values?

I will leave it to others to decide if a permutational multivariate analysis of variance on principal components is 'acceptable' to them. But there isn't any logical error in computing such a ...
Galen's user avatar
  • 8,512
3 votes
Accepted

Is this a proper use of mixed modeling?

The model you are thinking about: Area ~ Peptide + ( Peptide | Reaction_Time ) doesn't really make sense. The primary interest is in the association of reaction ...
Robert Long's user avatar
3 votes

Treat year as a fixed effect, random effect, or covariate?

First note that including a variable as a covariate and as a fixed effect means exactly the same thing to the model. So the question is about whether to include year as a fixed or a random effect. I ...
Robert Long's user avatar
3 votes
Accepted

Replicating an SPSS manova in R

I am not very familiar with SPSS but as far as I see MANOVA in SPSS reports multivariate tests for each predictor separately (just like manova in R). So, it does ...
T.E.G.'s user avatar
  • 2,332
3 votes

Excluding participants due to issue in randomisation?

Equal group size is not a requirement for anova (it might be an advantage if you can have it). So, as long as group assignment is still random and representative, as you say it is, there is no reason ...
kjetil b halvorsen's user avatar
2 votes

Working on my dissertation, and need to figure out whether to use MANOVA, MANCOVA, Multiple regression, or multivariate regression

I have not clearly understood your variables. I believe you have one continuous response variable and more than one continuous predictor variables. If it is the case, you need multiple regression. ...
Dr Nisha Arora's user avatar
2 votes

Significant output in Levene's test for equality of variances in MANOVA; what to do?

First, make sure you look at the boxplots of the residuals instead of just using Levene's tests. The significant result could be due to outliers, a bimodal distribution, or skewness that you may need ...
LListhewaytobe's user avatar
2 votes

Does one need to adjust for multiple comparisons when using MANOVA?

There's no need to adjust the alpha level of the MANOVA test itself, as amoeba noted. However, a significant MANOVA doesn't allow you to make statements about any of your 10 DVs--that would require ...
Bonferroni's user avatar
2 votes

How the total pseudo R2 is calculated with the "dissmfac" function in TraMineR?

These methods are fully described in the following article: Matthias Studer, Gilbert Ritschard, Alexis Gabadinho, and Nicolas S. Müller (2011), Discrepancy Analysis of State Sequences, Sociological ...
Matthias Studer's user avatar
2 votes

When is a statistical test said to be robust? Also, is normal distribution applicable to economic variables as well?

When is a statistical test said to be robust? That depends on who is saying it! There are two main things with hypothesis tests -- how they perform under the null and how they perform under the ...
Glen_b's user avatar
  • 283k
2 votes

Pros and cons of 5 ANOVAs for 5 DVs instead of 1 MANOVA

It depends on what the research question is. Multivariate analyses help to answer the question "Is there a main effect on any of these DVs?". So, if there's no theory-driven prediction on any ...
Jon's user avatar
  • 368
2 votes

Repeated measures analysis of mutually correlated features

You might consider a repeated-measures MANOVA. The MANOVA is analogous to the ANOVA, but with more than one dependent variable. Just like the ANOVA, you can have several independent variables (...
sammosummo's user avatar
2 votes

Should I use MANOVA, ANOVA for Regression?

The difference between ANOVA and MANOVA is merely the number of dependent variables fit. If there is one dependent variable then the procedure is ANOVA, if two or more dependent variables, then MANOVA ...
Carl's user avatar
  • 13.1k
2 votes
Accepted

Transformations possible when performing a single multivariate ANOVA on a continuous and categorical species database?

For the record, after discussions with other colleagues, I believe since my species in categories (from 0 = absence to 4 = 75-100% cover) are somewhat already transformed, the best way will be square ...
Mud Warrior's user avatar

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