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summary_mdf <- function(object,...){
summaryobject <- list()
dat <- object$CALL$data
item.index <- object$MUDFOLD_INFO$second_step$scale
si <- object$DESCRIPTIVES$n_items_final
sn <- object$DESCRIPTIVES$item_names_final
K <- object$MUDFOLD_INFO$second_step$Lscale
pj<- object$DESCRIPTIVES$prop_per_item[item.index]
nr <- object$DESCRIPTIVES$n_persons_final
pj_c <- 1 - pj
stdd <- round(sqrt((pj*(1-pj_c))/nr),2)
fre <- object$DESCRIPTIVES$positives_per_item[item.index]
Exp.errors<-round(object$MUDFOLD_INFO$second_step$EXPitem, 2)
Exp.errors.tot <- round(object$MUDFOLD_INFO$second_step$EXPscale,2)
Obs.errors <- round(object$MUDFOLD_INFO$second_step$OBSitem, 2)
Obs.errors.tot <- round(object$MUDFOLD_INFO$second_step$OBSscale,2)
Hj <- round(object$MUDFOLD_INFO$second_step$Hitem,2)
Htot <- round(object$MUDFOLD_INFO$second_step$Hscale,2)
Iso.stat <- round(object$MUDFOLD_INFO$second_step$ISOitem,2)
Iso.stat.tot <- round(object$MUDFOLD_INFO$second_step$ISOscale,2)
Max.stat <- round(object$MUDFOLD_INFO$second_step$MAXitem,2)
Max.stat.tot <- round(object$MUDFOLD_INFO$second_step$MAXscale,2)
summs <- matrix(NA, nrow=5, ncol=1)
dimnames(summs)[[1]] <-c("H(scale)","ISO(scale)","MAX(scale)", "O(scale)", "EO(scale)")
dimnames(summs)[[2]] <- "value"
summs <- as.data.frame(summs)
summs[1,] <- Htot
summs[2,] <- Iso.stat.tot
summs[3,] <- Max.stat.tot
summs[4,] <- Obs.errors.tot
summs[5,] <- Exp.errors.tot
summaryobject$SCALE_STATS <- summs
summ <- matrix(NA, nrow=K, ncol=10)
dimnames(summ)[[2]] <-c("items", "n_persons",
"posit(items)", "pposit(items)", "se(items)",
"O(items)", "EO(items)","MAX(items)", "ISO(items)","H(items)" )
summ <- as.data.frame(summ)
summ[,1] <- item.index
summ[,2] <- rep(nr,K)
summ[,3] <- fre
summ[,4] <- pj
summ[,5] <- stdd
summ[,6] <- Obs.errors
summ[,7] <- Exp.errors
summ[,8] <- Max.stat
summ[,9] <- Iso.stat
summ[,10] <- Hj
summaryobject$ITEM_STATS <- summ
return(summaryobject)
}
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