initial_region_aggregation_pollyvote: First calculates predictions on level of each region by using...

In pollyvote/pollyvoter: Aggregate Components, Calculate Forecasts and Determine Errors for Election Results.

Description

First calculates predictions on level of each region by using initial_region_prediction_pollyvote function and afterwards aggregates predictions over the regions in order to obtain final single prediction for a party on given day.

Usage

initial_region_aggregation_pollyvote(pv, time_int = NULL, agg_fun = "mean",
  na_handle = "last", region_method = c("wta", "vs"))

Arguments

pv	[pollyvote] the pollyvote object of which to get the prediction data from.
agg_fun	[character(1)] the name of the aggregation function to use, currently 'mean' and 'median' are supported
na_handle	[character(1)] specifies how NA values are handled in the data.
region_method	method of aggregation of party scores over different regions. See handle_region_method function for implementation and meaning of the parameteres.
time_int[date]	the time interval for the prediction.

Value

dataframe containing aggregated predictions for the parties aggregated over regions.

pollyvote/pollyvoter documentation built on May 25, 2019, 11:23 a.m.