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convert_esaps.R
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convert_esaps.R
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#' @title Converts data in table form to tidy_data
#'
#' @description Convert data in table format to tidy_data to use in the indicators of
#' the tidy_data.
#' @param path Character vector containing one or more path names.
#' @param dataset Electoral results by party. It can be a \code{data.frame} or a \code{list}.
#' @param file.name Name of the data file with extension.
#' @param nSheets Number of countries (number of sheets).'
#' 'Country' is a generic unit of analysis (province, department, etc.)
#' @param election.name Name of the variable that contains elections.
#' @param unit.name Name of the variable that contains the unit.
#' 'unit' is a generic unit of analysis (province, department, etc.)
#' @param M.name Name of the variable that contains the district magnitude
#' (M+1). It is for the calculation of endogenous and exogenous
#' electoral volatility (Torcal and Lago, 2015).
#' @param votes_nac.name la la la
#' @param allSheet By default it is \code{FALSE}. Load all the sheets that are in the
#' files selected in \code{file.name}. This argument takes precedence over \code{nSheets}.
#' @param seats By default it is \code{FALSE}. If it is \code{TRUE}, it indicates that, in addition
#' to electoral data per party, there is allocation data per seat. In this case,
#' one column must be loaded for each party with the electoral result and another
#' with the number of seats it obtained. The structure must be:
#' party_1, party_2, ..., party_n, seats_party_1, seats_party_2, ..., seats_party_n.
#'
#'
#' @return data.frame
#'
#' @author Nicolas Schmidt \email{nschmidt@cienciassociales.edu.uy}
#'
#' @examples
#' votes <- list(data.frame(country = rep("ARG", 3),
#' year = c(1995, 2000, 2005),
#' party_A = c(40,10,20),
#' party_B = c(35,20,40),
#' party_C = c(25,70,40)),
#' data.frame(country = rep("URY", 4),
#' year = c(1995, 2000, 2005, 2010),
#' party_A = c(30,30,20,20),
#' party_B = c(30,50,40, 30),
#' party_C = c(30,10,30, 25),
#' party_D = c(10,10,10,25)),
#' data.frame(country = rep("BRA", 2),
#' year = c(1993, 1998),
#' party_A = c(30, 55),
#' party_B = c(70, 45)))
#'
#' votes <- convert_esaps(dataset = votes, unit.name = "country", election.name = "year")
#'
#'
#' votes2 <- data.frame(year = c(2000, 2005),
#' country = "URY",
#' votes_party1 = c(20, 30),
#' votes_party2 = c(30, 35),
#' votes_party3 = c(40, 25),
#' votes_party4 = c(10, 10),
#' seats_party1 = c(25, 35),
#' seats_party2 = c(20, 30),
#' seats_party3 = c(40, 30),
#' seats_party4 = c(15, 5))
#'
#' votes <- convert_esaps(dataset = votes2, unit.name = "country", election.name = "year",
#' seats = TRUE)
#'
#'
#' \dontrun{
#' v1 <- convert_esaps(path = getwd(),
#' file.name = c("electionBRA.xlsx", "electionARG.xlsx"),
#' election.name = "elec",
#' unit.name = "district",
#' allSheet = TRUE)
#'
#' v2 <-convert_esaps(path = getwd(),
#' file.name = c("ARG.ods", "URY.ods", "BRA.ods"),
#' nCountry = c(2, 3, 1),
#' election.name = "elec",
#' unit.name = "province")
#'
#' v3 <- convert_esaps(path = here::here(),
#' file.name = list.files(pattern = "*.xlsx"),
#' election.name = "year",
#' unit.name = "country",
#' M.name = "magnitude",
#' seats = TRUE,
#' allSheet = TRUE)
#' }
#'
#' @export
convert_esaps<-function(path = NULL,
dataset = NULL,
file.name = NULL,
nSheets = 1,
election.name,
unit.name,
M.name = NULL,
votes_nac.name = NULL,
seats = FALSE,
allSheet = FALSE){
if (is.null(path) && is.null(dataset)){
stop("any of the arguments 'path' or 'dataset' must not be NULL.", call. = FALSE)
}
if (!is.null(path)) {
extention <- c("xlsx", "ods")
extention <- extention[c(all(grepl("xlsx$", file.name)==TRUE), all(grepl("ods$", file.name)==TRUE))]
if (length(extention) != 1L){
stop("It only accepts extension 'xlsx' or 'ods'.", call. = FALSE)
}
if(length(file.name) != length(nSheets)){
nSheets <- rep(nSheets[1], length(file.name))
}
old_setwd <- getwd()
setwd(path)
if (extention == "ods") {
if(isTRUE(allSheet)){
nSheets <- vector("numeric", length = length(file.name))
for(i in 1:length(file.name)){
nSheets[i] <- length(readODS::ods_sheets(file.name[i]))
}
}
dat <- list()
init <- 0L
for(i in 1:length(file.name)){
for (j in 1:nSheets[i]) {
dat[[j+init]] <- as.data.frame(readODS::read_ods(file.name[i], sheet = j))
}
init <- length(dat)
}
}
if (extention == "xlsx") {
if(isTRUE(allSheet)){
nSheets <- vector("numeric", length = length(file.name))
for(i in 1:length(file.name)){
nSheets[i] <- length(readxl::excel_sheets(file.name[i]))
}
}
dat <- list()
init <- 0L
for(i in 1:length(file.name)){
for (j in 1:nSheets[i]) {
dat[[j+init]] <- as.data.frame(readxl::read_excel(file.name[i], sheet = j))
}
init <- length(dat)
}
}
setwd(old_setwd)
}
if (!is.null(dataset)) {
if (is.matrix(dataset)) {stop("'dataset' must be a list or a data.frame.", call. = FALSE)}
if (is.list(dataset) && !is.data.frame(dataset)) {dat <- dataset}
if (is.data.frame(dataset)) {dat <- list(dataset)}
}
if (0L %in% sapply(dat, nrow)) {
zero <- sapply(dat, nrow) %in% 0L
if(length(zero)==sum(zero)){
stop("The datasets have 0 rows.", call. = FALSE)
}else{
dat <- dat[!zero]
}
}
if(sum(sapply(dat, function(x) c(unit.name, election.name) %in% names(x))) == 0){
stop("'election.name' and 'unit.name' must be the same on all sheets.", call. = FALSE)
}
vector1 <- numeric()
vector2 <- numeric()
for (i in 1:length(dat)) {
vector1[i] <- which(colnames(dat[[i]]) == election.name)
colnames(dat[[i]])[vector1[i]] <- "election"
vector2[i] <- which(colnames(dat[[i]]) == unit.name)
colnames(dat[[i]])[vector2[i]] <- "unit"
}
dat2 <- list()
dat3 <- list()
out <- list()
for (i in 1:length(dat)) {
dat2[[i]] <- dat[[i]][ c(vector1[i], vector2[i])]
dat3[[i]] <- dat[[i]][-c(vector1[i], vector2[i])]
out[[i]] <- cbind(dat2[[i]], dat3[[i]])
out[[i]]$unit <- as.character(out[[i]]$unit)
}
if (!is.null(M.name)) {
if(!all(sapply(out, function(x) M.name %in% names(x)))){stop("'M.name' must be the same on all sheets.", call. = FALSE)}
m <- numeric()
data2 <- list()
for (i in 1:length(out)) {
m[i] <- which(names(out[[i]]) == M.name)
data2[[i]] <- out[[i]][,m[i]]
out[[i]] <- out[[i]][,-m[i]]
out[[i]] <- cbind(out[[i]][1:2], M = data2[[i]], out[[i]][3:ncol(out[[i]])])
}
}
if (!is.null(votes_nac.name)) {
if(isTRUE(seats) || !is.null(M.name)){stop("if 'votes_nac.name' are different from NULL, 'M.name' or 'seats' must have the default values.", call. = FALSE)}
out0<- lapply(out, function(x){tidyr::gather(x[which(x[,2]==votes_nac.name),-2], "party", "votes_nac", -"election")})
out <- lapply(out, function(x){tidyr::gather(x[-which(x[,2]==votes_nac.name),], "party", "votes", -"election", -"unit")})
output <- list()
for(i in 1:length(out)){output[[i]] <- dplyr::inner_join(out[[i]],out0[[i]] , by=c("election", "party"))}
pull <- do.call(rbind, output)
rownames(pull) <- NULL
return(pull)
}
variables <- c(election.name, unit.name, M.name) ## aca no va votes_nac_name???
var <- length(variables)
if(var > 2){variables <- c("election", "unit", "M")}else{variables <- c("election", "unit")}
if(isTRUE(seats)){
larS <- length(out)
c_seats <- as.logical((sapply(out, ncol)-var) %% 2)
if(length(which(c_seats==TRUE)) > 0){out <- out[-c(which(c_seats==TRUE))]}
if(length(out)!=larS && length(out) != 0){warning("The database was deleted: ", paste(which(c_seats==TRUE), collapse = ", "), " ...must have the same number of columns of parties and seats", call. = FALSE)}
if(length(out)==0L){stop("The structure of the data is not correct.", call. = FALSE)}
out3 <- lapply(out, function(x){x[,c(1:2,(((ncol(x)-var)/2)+(var+1)):ncol(x))]})
out4 <- lapply(out, function(x){x[,-c((((ncol(x)-var)/2) + (var+1)): ncol(x))]})
out3 <- lapply(out3, function(x){tidyr::gather(x, "party", "seats", -"election", -"unit")})
out4 <- lapply(out4, function(x){tidyr::gather(x, "party", "votes", -variables)})
for(i in 1:length(out4)){out4[[i]]<-cbind(out4[[i]], seats = out3[[i]]$seats)}
pull <- do.call(rbind, out4)
}else{
out4 <- lapply(out, function(x){tidyr::gather(x, "party", "votes", -variables)})
pull <- do.call(rbind.data.frame, out4)
}
if(length(unique(as.character(pull$unit)))>1){
pull <- pull[order(pull$unit), ]
}else{
pull <- pull[order(pull$election), ]
}
rownames(pull) <- NULL
return(pull)
}