ms_flatten: Flatten a scored multiple-response object into a factor

In tslumley/rimu: Responses in Multiplex

Flatten a scored multiple-response object into a factor

Description

Convert a multiple-response object into a named numeric vector using a supplied ordering.

Usage

ms_flatten(x, priorities, fun, start=0)

Arguments

x	mr object
priorities	Character vector of levels.
fun	Function for reducing two values to one.
start	starting value for fun

Details

Each observation is initially assigned the value start. Starting with the lowest-priority level, the current value is combined with the new value as fun(new, current). Using fun=function(x,y) x would return the value for the highest-priority level present; using fun=pmax would return the highest score for any level present; using fun="+" would return the sum of the scores.

Value

A factor

Examples

data(ethnicity)
ethnicity

## NZ 'prioritised ethnicity'
eth <- mr_recode(ethnicity, `European/Other`="European", `European/Other` = "MELAA")
mr_flatten(ethnicity, c("Maori","Pacific","Asian","European/Other"))

data(nzbirds)
## hardest to see first
ms_flatten(nzbirds, c("kaki","ruru","kea","tui","tauhou"),"+")
ms_flatten(nzbirds, c("kaki","ruru","kea","tui","tauhou"),
  fun=function(x,y) x)
ms_flatten(nzbirds, c("kaki","ruru","kea","tui","tauhou"),pmin,start=Inf)

tslumley/rimu documentation built on March 21, 2024, 5:58 a.m.