Since dg is an association of association of associations, here's what we need to do. How do we do it in Mathematica? The key is to look at the structure of the values that have been produced by GroupBy. In R, we would write something like "ds %>% group_by(b) %>% summarize(meand= mean(d), maxe=max(e))". dv = that we want the mean value of d for all of the groupings and the maximum value of e and we want the new columns to have the labels "meand" and "maxe". We could get an association of a list of associations if we first applied Values to the data before grouping it. dg = that we now have an association of association of associations. We'll construct it as an association of associations, meaning it will display as something with column names and row names SeedRandom ĭs = let's group the data by its b value. If there are better approaches, I am hoping this stimulates discussion. So, the question is, how do we do this in Mathematica? Since at least I did not find it obvious at first, I thought this little tutorial would be helpful. The idea is to take some data, group it according to some common value and then find some summary statistics on each grouping of the data. One of the key functions used in dplyr is called summarize. The R language features a package called "dplyr" that is widely used for analyzing data. The equivalent of dplyr's "summarize" in Mathematica I am linking to a Wolfram Cloud notebook that should provide the necessary ideas and code. Still, there are occasions in which one does not want the overhead of coordinating with R and wants a pure Mathematica solution. And, indeed, sometimes this is very useful.
#Dplyr summarize code
Also, I am fully aware that one can use the lovely RLink package to run R code from within Mathematica, including the dplyr package. It may be that there are simpler ways of reaching the same result, in which case you can regard this as a way of stimulating discussion on the matter. The idea is to group data and to then produce a new dataset that computes, for each resulting group, various composite statistics associated with that group.
#Dplyr summarize how to
Since I had trouble with the issue, I thought it might be worthwhile to share how to perform the equivalent of a "summarize" operation in R. I have been doing a lot of work with databases recently, some in Mathematica and some in R using the latter's very nice dplyr package.
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