Iterate Calculations for Multiple Data Tables to New Data Table

[jrkrideau]

I think we need some sample data, perhaps a couple of very simple mock data tables and a bit of code. At the moment we have no idea of what format the data is in (tibble, data.frame, list, matrix?) and I am not sure that some of your code will run. For example, I do not belief that one can start a variable name with a numeric.

25perc_grtbl1819 <- quantile(grtbl1819$percent)[2]

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

There are probably at least four or five ways to approach the problem but we need a bit more information about the data structure in particular. Come to think of it, are the data tables even currently in an R format or do we need to read them in?