search for: sevendaywaterdepth

...o generate a pairwise correlation matrix for each dataframe using the calculated average value . My approach has been to consider calculating the average value first and then creating a "list" using code similar to the following hydrometrics_list <- list(meanAnnualWaterDepth$Average, sevenDayWaterDepth$Average, discontinuousHydroperiod$Average) # abbreviated here, it will have 40 objects when done After this I need to run the pairwise correlations. So is it more efficient to build the list first and calculate the averages for each component of the list, or would it be more efficient to calcul...