How To Calculate Group Averages in R Programming Using The ave() Function
The ave() function offers segmented averages and calculations to simplify your cohort and subgroup calculations
Analysts often use the ave() and the mean() functions. The “ave” stands for “average” so most analysts use tave and mean interchangeably when performing operations.
However, analysts don’t realize that each yields a significant calculation difference for calculating an average. That difference appears when there is a need to average data in vector segments or when a data frame column needs to be calculated.
As a matter of fact, ave() contains parameters that can insert a variety of statistics or even functions that can address the shortcomings of the mean() function. These parameters can then be applied to the desired data groups to get the average or the output of the function applied.
How ave() Works
The syntax of ave() appears in R as follows:
ave(data, group, FUN=mean or median)
The FUN parameters can accommodate a parameter choice of a mean or a median of the given data group. The FUN parameter can also hold an object containing a function that you want to call. So the…
