Hi Huw,
As per my understanding, you want to analyze multiple parameters in your data statistically. You can consider following the steps below for the same:
1) Preprocess your data by cleaning the outlier, handling missing values and normalizing the data.
2) Once the preprocessing is done, you can perform an exploratory data analysis on the data by using functions like "min", "mean", "var" to get an understanding of data distribution. You can additionally plot your data to visualize any patterns or correlation.
3) You can generate the correlation matrix using "corrcoef" function to identify potentially related parameters. You can refer to the following documentation for details related to "corrcoef" function.
4) You can use statistical tests like "ttest" to determine if changes in parameters are statistically significant. Please refer to the following documentation for more details:
I hope this helps.
