Redundancy analysis (RDA) is a sorting method combining regression analysis with principal component analysis, and it is also an extension of multiresponse variable regression analysis. Conceptually, RDA is the principal component analysis of the fitted value matrix of the multiple linear regression between the response variable matrix and the explanatory variable, and it is the constrained principal component analysis.
The purpose of RDA is to find new variables to replace the original ones. The coordinates of the quadrats in the sorting diagram are linear combinations of environmental factors. The advantage of this method is that it considers the impact of environmental factors on the quadrats, because sometimes we want to get the distribution of species under certain specific conditions, and we can get the result that certain species are affected by specific environmental factors, such as certain bacteria affected by pH value or temperature, etc.
Fig.1 Redundancy analysis (RDA) plot of the correlation between the most abundant phylum of bacteria and soil physiochemical properties. (Arafat Y, et al. 2017)
Our services in terms of redundancy analysis include,
Analytical tools used in our redundancy analysis service include CANOCO software, and other related tools. Under the OUT of 97% similarity, CANOCO is used to make the RDA plot.
In general, our turnaround time is 2-4 weeks depending on the size of your project.
Creative Biogene is an expert in the field of the redundancy analysis. Our advanced analysis platforms are established to provide you with results of good reproducibility. We combine rich project experience, strict data quality control and professional analysis process, to ensure that the project is carried out accurately and quickly. You can choose us with confidence, we anticipate your presence.
If you are interested in our services, please contact us for more details.