peoplePrediction: Calulate a people Prediction at electorate levels using...

In uyenhoang/pplpredict: Building a people prediction at electorate levels for VoteCompass datasets

Description

Calulate a people Prediction at electorate levels using relative confidence index

Usage

peoplePrediction(Data, rci.vars, partyNames = NULL, transform = FALSE, ...)

Arguments

Data	a data frame of VoteCompass datasets
rci.vars	a character vector or a numeric vector of index of variable names of the winning ratings for each party.
partyNames	a character vector of full names for each party.
...	other arguments passed to rescaleWrapper when transfrom is set to TRUE
transfrom	a logical scalar to indicate if RCI variables are needed to rescale. Its default is FALSE.

Value

a data frame of aggregated relative confidence index for each party by electorates/ridings, the winner and the secondplace runner by RCI.

Examples

peoplePrediction(Queensland, paste0("party", 1:4, "B"), partyNames = c("Labor", "Greens", "LibNat", "Katter"))
peoplePrediction(Queensland, paste0("party", 1:4, "B"), partyNames = c("Labor ","Greens" ,"LibNat", "Katter"), transform = TRUE)
peoplePrediction(Queensland, paste0("party", 1:3, "B"), partyNames = c("Labor", "Greens", "LibNat"))

uyenhoang/pplpredict documentation built on May 3, 2019, 2:41 p.m.