##' Get a list of state ballot measures in a given year
##'
##' This function is a wrapper for the Measure.getMeasuresByYearState() method of the PVS API Measure class which grabs a list of state ballot measures in a given year. The function sends a request with this method to the PVS API for all years and state IDs given as a function input, extracts the XML values from the returned XML file(s) and returns them arranged in one data frame.
##' @usage Measure.getMeasuresByYearState(year, stateId)
##' @param year a character string or list of character strings with the year(s)
##' @param stateId a character string or list of character strings with the state ID(s) (see references for details)
##' @return A data frame with a row for each ballot measure and columns with the following variables describing the ballot measure:\cr measures.measure*.measureId,\cr measures.measure*.measureCode,\cr measures.measure*.title,\cr measures.measure*.outcome.
##' @references http://api.v.otesmart.org/docs/Measure.html\cr
##' Use State.getStateIDs() to get a list of state IDs.\cr
##' See also: Matter U, Stutzer A (2015) pvsR: An Open Source Interface to Big Data on the American Political Sphere. PLoS ONE 10(7): e0130501. doi: 10.1371/journal.pone.0130501
##' @author Ulrich Matter <ulrich.matter-at-unibas.ch>
##' @examples
##' # First, make sure your personal PVS API key is saved as an option
##' # (options("pvs.key" = "yourkey")) or in the pvs.key variable:
##' \dontrun{pvs.key <- "yourkey"}
##' # get a list of ballot measures for a certain state and year
##' \dontrun{measures <- Measure.getMeasuresByYearState(list(2010,2012),"FL")}
##' \dontrun{measures}
##' @export
Measure.getMeasuresByYearState <-
function (year, stateId) {
# internal function
Measure.getMeasuresByYearState.basic <-
function (.year, .stateId) {
request <- "Measure.getMeasuresByYearState?"
inputs <- paste("&year=",.year,"&stateId=",.stateId,sep="")
output <- pvsRequest(request,inputs)
output$year <-.year
output$stateId <- .stateId
return(output)
}
#Main function
output.list <- lapply(year, FUN= function (y) {
lapply(stateId, FUN= function (s) {
Measure.getMeasuresByYearState.basic(.year=y, .stateId=s)
}
)
}
)
# output.list <- do.call("c",output.list)
#
# # which list entry has the most columns, how many are these?
# coln <- which.is.max(sapply(output.list, ncol));
# max.cols <- max(sapply(output.list, ncol));
#
# # give all list entries (dfs in list) the same number of columns and the same names
# output.list2 <- lapply(output.list, function(x){
# if (ncol(x) < max.cols) x <- data.frame(cbind(matrix(NA, ncol=max.cols-ncol(x), nrow = 1, ),x),row.names=NULL)
# names(x) <- names(output.list[[coln]])
# x
# })
#
# output <- do.call("rbind",output.list2)
output.list <- redlist(output.list)
output <- bind_rows(output.list)
return(output)
}
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