##' Get a list of bills according to office, candidate and category
##'
##' This function is a wrapper for the Votes.getBillsByOfficialCategoryOffice() method of the PVS API Votes class which grabs a list of bills that fit the candidate and category. The function sends a request with this method to the PVS API for all category, candidate and office 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 Votes.getBillsByOfficialCategoryOffice(categoryId, candidateId, officeId=NULL)
##' @param categoryId a character string or list of character strings with the category ID(s) (see references for details)
##' @param candidateId a character string or list of character strings with the candidate ID(s) (see references for details)
##' @param officeId (optional) a character string or list of character strings with the office ID(s) (default: all) (see references for details)
##' @return A data frame with a row for each bill and columns with the following variables describing the bill:\cr bills.bill*.billId,\cr bills.bill*.billNumber,\cr bills.bill*.title,\cr bills.bill*.type.
##' @references http://api.votesmart.org/docs/Votes.html\cr
##' Use Votes.getCategories() to get a list of category IDs.\cr
##' Use Candidates.getByOfficeState(), Candidates.getByOfficeTypeState(), Candidates.getByLastname(), Candidates.getByLevenshtein(), Candidates.getByElection(), Candidates.getByDistrict() or Candidates.getByZip() to get a list of candidate IDs.\cr
##' See http://api.votesmart.org/docs/semi-static.html for a list of office IDs or use Office.getOfficesByType(), Office.getOfficesByLevel(), Office.getOfficesByTypeLevel() or Office.getOfficesByBranchLevel().\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 bills of a certain office, candidate and category
##' \dontrun{bills <- Votes.getBillsByOfficialCategoryOffice(list(30,10),9490,6)}
##' \dontrun{bills}
##' @export
Votes.getBillsByOfficialCategoryOffice <-
function (categoryId, candidateId, officeId=NULL) {
if (length(officeId)==0) {
# internal function
Votes.getBillsByOfficialCategoryOffice.basic1 <-
function (.categoryId, .candidateId) {
request <- "Votes.getBillsByOfficialCategoryOffice?"
inputs <- paste("&categoryId=",.categoryId,"&candidateId=",.candidateId,sep="")
output <- pvsRequest(request,inputs)
output$categoryId <- .categoryId
output$candidateId <- .candidateId
return(output)
}
# Main function
output.list <- lapply(categoryId, FUN= function (y) {
lapply(candidateId, FUN= function (s) {
Votes.getBillsByOfficialCategoryOffice.basic1(.categoryId=y, .candidateId=s)
}
)
}
)
output.list <- redlist(output.list)
output <- bind_rows(output.list)
} else {
# internal function
Votes.getBillsByOfficialCategoryOffice.basic2 <-
function (.categoryId, .candidateId, .officeId) {
request <- "Votes.getBillsByOfficialCategoryOffice?"
inputs <- paste("&categoryId=",.categoryId,"&candidateId=",.candidateId, "&officeId=", .officeId, sep="")
output <- pvsRequest(request,inputs)
output$categoryId <- .categoryId
output$candidateId <- .candidateId
output$officeId.input <- .officeId
return(output)
}
# Main function
output.list <- lapply(categoryId, FUN= function (y) {
lapply(candidateId, FUN= function (s) {
lapply(officeId, FUN= function (c) {
Votes.getBillsByOfficialCategoryOffice.basic2(.categoryId=y, .candidateId=s, .officeId=c)
}
)
}
)
}
)
output.list <- redlist(output.list)
output <- bind_rows(output.list)
# Avoids that output is missleading, because officeId is already given in request-output, but also a
# additionally generated (as officeId.input). Problem exists because some request-outputs might be empty
# and therefore only contain one "officeId" whereas the non-empty ones contain two. (see basic function)
output$officeId[c(as.vector(is.na(output$officeId)))] <- output$officeId.input[as.vector(is.na(output$officeId))]
output$officeId.input <- NULL
}
return(output)
}
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