Tutorial by Examples: agg

A multi-value metrics aggregation that computes stats over numeric values extracted from the aggregated documents. These values can be extracted either from specific numeric fields in the documents, or be generated by a provided script. The extended_stats aggregations is an extended version of the ...

For this, we will use the function aggregate, which can be used as follows: aggregate(formula,function,data) The following code shows various ways of using the aggregate function. CODE: df = data.frame(group=c("Group 1","Group 1","Group 2","Group 2",&quo...

Aggregating with dplyr is easy! You can use the group_by() and the summarize() functions for this. Some examples are given below. CODE: # Aggregating with dplyr library(dplyr) df = data.frame(group=c("Group 1","Group 1","Group 2","Group 2","Group 2&...

I have read and watched a lot of different Dagger2 tutorials but most of them are too long or hard to understand so I decided to write a new simple and short tutorial for Dagger2, I hope you like it. Why we need it? Simplifies access to shared instances: It provides a simple way to obtain refere...

Grouping with the data.table package is done using the syntax dt[i, j, by] Which can be read out loud as: "Take dt, subset rows using i, then calculate j, grouped by by." Within the dt statement, multiple calculations or groups should be put in a list. Since an alias for list() is .(), bo...