isolate most common in r

To isolate the most common elements in R, you can use the table() function to create a frequency table of the variable you're interested in. Then, you can use sort() or order() to rank the frequencies in descending order and select the top or bottom elements. Here's an example using the mtcars dataset:

main.r
# load mtcars dataset
data(mtcars)

# create frequency table of number of cylinders
cyl_table <- table(mtcars$cyl)

# sort frequencies in descending order
sorted_cyl <- sort(cyl_table, decreasing = TRUE)

# select top 5 most common number of cylinders
top5_cyl <- names(sorted_cyl)[1:5]

top5_cyl
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This will return the top 5 most common number of cylinders in the mtcars dataset, based on the frequency count.