Description Usage Arguments Examples

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.

1 | ```
split_quantile(x = NULL, type = NULL)
``` |

`x` |
A vector of any type that can be ordered – i.e. numeric or factor where factor levels are ordered. |

`type` |
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. |

1 2 3 | ```
# Divide this arbitrary data set in 3.
data_input <- rnorm(n = 100)
split_quantile(x = data_input, type = 3)
``` |

DeclareDesign/fabricatr documentation built on May 6, 2019, 1:57 p.m.

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