search for: hydrometrics_list

...lWaterDepth[7:15], 1, mean) So far so good. Next I need to 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 co...