Actually, I am using this software for the analysis of different orders of insect with seven different soil parameters and want to draw a biplot graph to use CCA in PAST, and I am not sure if I am putting my variable correctly or not???
Need help in this regard?
Dear Priya,
CCA (Canonical Correspondence Analysis) is a powerful multivariate technique that can be used to investigate the relationship between species (in this case, different orders of insects) and environmental variables (in this case, soil physical-chemical parameters). PAST (Paleontological Statistics) is a software package that can perform CCA and other multivariate analyses.
To use CCA in PAST, you must organize your data in a specific format. It would be best to have a matrix or data frame with the insect order (species) as rows and the soil physical-chemical parameters as columns. The values in the matrix should be the abundance or occurrence of each insect order in each soil sample.
You should also ensure that the data is adequately transformed to meet the assumptions of CCA. For example, you should use a log transformation if the data is skewed. Also, you should ensure the data has been standardized (mean = 0, standard deviation = 1) before performing the analysis.
Once your data is in the appropriate format, you can use PAST to perform the CCA analysis.
To draw a biplot graph in PAST, use the "Ordination" option, then select "CCA." Once the analysis is completed, you can use the "Graph" option to create the biplot graph. The biplot graph will show the relationship between the insect orders and the soil physical-chemical parameters on the ordination space.
It's important to note that CCA assumes that the environmental variables (soil physical-chemical parameters) are independent, so if there is a correlation between the variables, it's better to use PCA (Principal component analysis) or RDA (Redundancy analysis) before running the CCA.
It's also essential to make sure that the data meet the assumptions of the CCA, such as linearity and normality, and the data should be transformed if the premise is unmet.
It's also essential to consult with experts in the field or consult the literature to have more information about the recent developments in the area and also the interpretation of the results.
I hope I was able to answer your question.
Yours sincerely,
Edgar M Cambaza
https://www.youtube.com/watch?v=CUcE391zbQ4
this video might help you, Priya Bisht
Dear Sir,
A very warm greeting to you. Thank you so much for the minute details, because of your guidance, I have a better idea of CCA analysis. I'll keep that in mind. THANK YOU, Edgar Manuel Cambaza
Yours sincerely,
Priya Bisht
Thank you so much for providing the link regarding CCA analysis, Sunaullah Bhat
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