I want to run a correlation matrix analysis between multiple response variables. The data was obtained from the operation of a continuous bioreactor over a 330 days period, but the operating conditions were changed every three months. I am not sure if I have to run a correlation test for each operational strategy (i.e. the condition that was changed every three months - in this case was the concentration of a contaminant) or if I can run a single test for the whole operation of the reactor.
The results make more sense if I run a single test, but I am not sure if I can do that assuming the conditions were changed. But I know that, for environmental analyses as whole, it is quite common to run correlation analysis even when there are other factors changing over time.
I think you could run correlation for the entire time period!
You could also run the analysis for each 3-month period to inspect possible differences!
A correlation matrix is a table showing correlation coefficients between variables. Each cell in the table shows the correlation between two variables. A correlation matrix is used to summarize data, as an input into a more advanced analysis, and as a diagnostic for advanced analyses.
I believe you need to implement comparison study among the three methods to see which one useful, this can be done by using ANOVA test. In addition, if you need to know the effect of different factor, please use principle component analysis (PCA)
You can get answers of all these questions at a time by wisely utilizing technique of regression analysis. Of course, it will include use of dummy variables, ANOVA, ANCOVA etc.
- Badges
- Science topic