Survey data is often presented in aggregated, depersonalized form, which
can involve binning underlying data into quantile buckets; for example,
rather than reporting underlying income, a survey might report income by
decile. split_quantile can automatically produce this split using any
data x and any number of splits `type.
split_quantile(x = NULL, type = NULL)A vector of any type that can be ordered -- i.e. numeric or factor where factor levels are ordered.
The number of buckets to split data into. For a median split, enter 2; for terciles, enter 3; for quartiles, enter 4; for quintiles, 5; for deciles, 10.
# Divide this arbitrary data set in 3.
data_input <- rnorm(n = 100)
split_quantile(x = data_input, type = 3)
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