Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [redundancy-analysis]

14 questions
5
votes
0 answers

Interpreting MANOVA and redundancy analysis of a canonical correlation analysis

I have done a canonical correlation analysis using the American Community Survey Dataset. The analysis is done between Ancestry and Educational Attainment variables. The values for canonical correlations are: {0.8140, 0.5716, 0.4708, 0.3946, 0.1465,…
Sherry
  • 51
  • 1
  • 2
3
votes
0 answers

At what spatial scale should PCA be analysed on? Why do the loadings appear so different at each scale?

My dataset has 6 sites. Each site has four quadrants (qi) that I sampled for 12 months to estimate species abundances. I Hellinger transformed the data prior to the analysis. For each quadrant I have environment data - temperature, salinity, pH etc.…
Biotechgeek
  • 441
  • 3
  • 8
3
votes
3 answers

How to recognize similar environmental variables using multivariate analysis?

I am completely new to multivariate analyses and I need an advice how to get it applied to my data and which analyses to choose for which purpose. My dataset is presence/absence (or relative abundance score) of 100 species on 5000 squares, and for…
Tomas
  • 5,735
  • 11
  • 52
  • 93
3
votes
0 answers

Is it valid to include binary or categorical variables in redundancy analysis (RDA)?

I have a mix of continuous and categorical explanatory variables I would like to enter into a canonical redundancy analysis (RDA), but I'm not sure whether it is valid to use discontinuous variables in this type of analysis? My question stems partly…
MGC
  • 31
  • 1
2
votes
0 answers

Redundancy analysis (RDA) to identify the relationship between water quality and land use

I have read some papers in where the authors had performed redundancy analysis (RDA) to identify the relationship between water quality and land use. However, I am confused as to how they are setting up their datasets. My idea is that one of them is…
Perro
  • 143
  • 5
1
vote
1 answer

How to properly perform constrained ordination (RDA) when the sums of the rows of the constraining matrix are equal to the same value?

When performing an RDA where the constraining matrix displays equal sums of rows, the last column in the matrix is always considered aliased and therefore dropped. I am asking why this happens and how one can avoid that. Given a matrix of response…
Valentin Lucet
  • 11
  • 3
1
vote
0 answers

Can correlations between all variables be extracted from PCA/RDA biplots?

I am performing a systematic review of the literature for my dissertation, and I need to extract the relationship between two variables from the results of multivariate analyses, particularly Principal Component Analysis (PCA) and Redundancy…
ligiambc
  • 11
  • 3
0
votes
0 answers

Are multitable analyses like Multifactor Analysis (MFA), STATIS, and Partial Triadic Analysis (PTA) JUST exploratory methods? Can I use PC Scores?

If I perform PCA on a simple table, I can take the resulting principal component scores as variables and then perform regression to predict an outcome from my original data. I would do this for dimension and noise reduction and to see if I could…
Llama_Matrix_52
  • 1
0
votes
0 answers

Understanding constrained RDA's formula?

So, I am having issues understanding the ordination with constrained RDA. I designed four experiments which should be useful to understand what is happening with RDA but I am missing something here. # load…
gabt
  • 101
  • 4
0
votes
0 answers

Time-series/autocorrelated data in Redundancy Analysis (RDA)

My problem is about the RDA analysis of time-series audio data with environmental data. I have time-series data (Y) - one data frame with audio data (represented by acoustic indices) which is for 20 sites sampled on 4 consecutive days for 24 hours…
Zhao Yilin
  • 1
  • 1
0
votes
0 answers

Variable count in partial redundancy analysis

I am performing partial redundancy analysis in which I am trying to explain variation in Y with response to X after partialing out the impact of W. In this case, matrix W is a set of n-1 AEM spatial variables, where n is the number of samples. My…
sawezo
  • 115
  • 5
0
votes
0 answers

Is it appropriated to use an 'Invariant' variable in multivariate test?

I have been assigned the task of finding out how (and if) the biological diversity of tropical insects (ants) is related to environmental variables. So I did a small field work to start with some data and design a preliminary analysis before putting…
terauser
  • 133
  • 1
  • 5
0
votes
0 answers

What type of PCA to run with only two environmental variables and 1 factor?

I study soil insects, and sample monthly for insects. Each month, I sample at 8 different sites. Each site is divided roughly into 4 meter square quadrants. From each quadrant, I pick out a random sub-sample soil and look for insect abundance. I…
Biotechgeek
  • 441
  • 3
  • 8
0
votes
1 answer

Doubt with a distance based Redundancy analysis

I conducted a distance based redundancy analysis (dbRDA) to explore the relevance of some environmental variables in explaining the patterns of the distribution (i.e., spatial and temporal) of two organisms. I used a Bray-Curtis resemblance matrix…
Brenda
  • 3
  • 3