![]() Example for aggregate() function in R with sum: Note: When using the aggregate() function, the by variables must be in a list. The above code takes first 4 columns of iris data set and groups by “species” by computing the mean for each group, so the output will be Suppose if want to find the mean of all the metrics (Sepal.Length Sepal.Width Petal.Length Petal.Width) for the distinct species then we can use aggregate function # Aggregate function in R with mean summary statisticsĪgg_mean = aggregate(iris,by=list(iris$Species),FUN=mean, na.rm=TRUE) Let’s use the iris data set to demonstrate a simple example of aggregate function in R. Tutorial on Excel Trigonometric FunctionsĪggregate(x, by, FUN, …, simplify = TRUE, drop = TRUE) XĪ list of grouping elements, by which the subsets are grouped byĪ function to compute the summary statisticsĪ logical indicating whether results should be simplified to a vector or matrix if possibleĪ logical indicating whether to drop unused combinations of grouping values.Tutorial on Excel Statistical Functions.Tutorial on Excel Mathematical Functions.Tutorial on Excel Information Functions.Tutorial on Excel Engineering Functions.
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