#' @export
computeDiff <- function(yHatMissing, varName, m) {
## receber os ids da função collectDifs
if(is.character(varName)){
x <- eval(parse(text=varName))
}else{
studysideMessage <- "ERROR: x.name must be specified as a character string"
return(list(studysideMessage=studysideMessage))
}
yHatMiss <- as.vector(unlist(jsonlite::fromJSON(yHatMissing, simplifyMatrix = FALSE)))
naRows <- which(is.na(x))
completeValues <- x[-naRows]
m <- as.numeric(m)
idValor <- c()
topDiff <- list()
cont <- 1
for (idx in 1:length(yHatMiss)) {
#same x values rownames
subtract <- data.frame(abs(mapply('-', yHatMiss[idx], completeValues)))
colnames(subtract) <- "dif"
rownames(subtract) <- rownames(completeValues)
subtract$na_rows <- naRows[idx]
subtract$na_estimated <- yHatMiss[idx]
orderedDiff <- subtract[with(subtract, order(dif)), ]
topDiff[[cont]] <- orderedDiff[1:m,]
cont <- cont + 1
}
join <- do.call(rbind, topDiff)
join$complete_rows <- rownames(join)
return(join)
}
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