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#' Unit Response Rate
#'
#' Unit response rate calculates the proportion of data which can actually be used for analysis.
#' @author Beat Hulliger
#' @param rij (mandatory): A matrix containing the response indicators for a given dataframe. rij can be calculated using the function \code{\link[sdap]{rind}}.
#' @param bij (optional): A matrix containing the structurally missingness indicators. bij can be calculated using the function \code{\link[sdap]{smind}}. If the argument bij is missing, the indicator irr is calculated without considering a missingness indicators matrix.
#' @param obsi (optional): A vector with the observations in rij to be processed. If the argument obs is missing, all observations are processed.
#' @param varj (optional): A vector with the variables (column numbers) to be considered for the calculation. If the argument varj is missing, all variables are considered for the indicator.
#' @param weight (optional): A vector of weights to be considered when calculating the indicator. If no weight vector is given as an argument, the indicator is calculated without considering different weights.
#' @return Proportion of data which can actually be used for analysis.
#' @export
urr <- function(rij,bij,obsi=1:nrow(rij),varj=1:ncol(rij),weight)
{
n <- length(obsi)
if (n<=1) cat(paste("Warning: Number of obs is ",n,"\n"))
p <- length(varj)
if (missing(weight)) weight <- rep(1,n)
if (missing(rij)) {
cat("Missing rij!\n")
return()
}
if (missing(bij))
{
cat("Missing bij!\n")
if (p>1) ri <- 1-apply(1-rij[obsi,varj],1,prod) else
ri <- rij[obsi,varj] # 1-row products (1-r_ij)
urr.value <- weighted.mean(ri,weight)
return(urr.value)
} else
{
rijtemp <- pmax(as.matrix(rij[obsi,varj], mode = "integer"),as.matrix(bij[obsi,varj], mode = "integer"))
if (p>1) ri <- 1-apply(1-rijtemp,1,prod) else
ri <- rijtemp # 1-row products (1-r_ij)
rm(rijtemp)
urr.value <- weighted.mean(ri,weight)
return(urr.value)
}
}
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