Nothing
#' @include helper_functions.R
NULL
#' @aliases summary,item_pool-method
#' @docType methods
#' @rdname summary-methods
setMethod("summary", "item_pool", function(object) {
out <- new("summary_item_pool")
out@ni <- object@ni
tmp <- as.data.frame(table(object@model))
colnames(tmp) <- c("model", "items")
out@ni_per_model <- tmp
out@has_se <- any(na.omit(object@se) > 0)
return(out)
})
#' @aliases summary,item_attrib-method
#' @docType methods
#' @rdname summary-methods
setMethod("summary", "item_attrib", function(object) {
out <- new("summary_item_attrib")
out@attribs <- names(object@data)
out@levels <- list()
for (a in out@attribs) {
out@levels[[a]] <- sort(unique(object@data[[a]]))
}
return(out)
})
#' @aliases summary,st_attrib-method
#' @docType methods
#' @rdname summary-methods
setMethod("summary", "st_attrib", function(object) {
out <- new("summary_st_attrib")
out@attribs <- names(object@data)
out@levels <- list()
for (a in out@attribs) {
out@levels[[a]] <- sort(unique(object@data[[a]]))
}
return(out)
})
#' @aliases summary,constraints-method
#' @docType methods
#' @rdname summary-methods
setMethod("summary", "constraints", function(object) {
out <- new("summary_constraints")
out@n_constraints <- dim(object@constraints)[1]
out@n_mip_constraints <- sum(unlist(lapply(object@list_constraints, function(x) x@nc)))
out@test_length <- object@test_length
out@set_based <- object@set_based
return(out)
})
#' @aliases summary,output_Static-method
#' @docType methods
#' @rdname summary-methods
setMethod("summary", "output_Static", function(object, simple = FALSE) {
out <- new("summary_output_Static")
out@n_targets <- length(object@config@item_selection$target_location)
out@obj_type <- object@config@item_selection$method
out@target_location <- object@config@item_selection$target_location
out@selected_items <- object@selected[['INDEX']]
out@set_based <- object@constraints@set_based
out@n_selected_sets <- NULL
if (out@set_based) {
out@n_selected_sets <- length(unique(object@selected[['STID']]))
}
subpool <- subsetItemPool(object@pool, out@selected_items)
info <- calcFisher(subpool, out@target_location)
out@info <- rowSums(info)
out@score <- calcEscore(subpool, out@target_location)
if (!simple) {
out@achieved <- object@achieved
} else {
out@achieved <- NULL
}
return(out)
})
#' @aliases summary,output_Shadow_all-method
#' @docType methods
#' @rdname summary-methods
setMethod("summary", "output_Shadow_all", function(object, simple = FALSE) {
out <- new("summary_output_Shadow_all")
out@n_simulee <- length(object@output)
out@test_length <- object@constraints@test_length
out@est_theta <- sapply(object@output, function(x) x@final_theta_est)
out@est_theta_se <- sapply(object@output, function(x) x@final_se_est)
out@true_theta <- object@true_theta
if (!is.null(out@true_theta)) {
out@diff <- out@est_theta - out@true_theta
out@mse <- mean(out@diff ** 2)
out@bias <- mean(out@diff)
out@corr <- cor(out@est_theta, out@true_theta)
}
out@average_se <- mean(out@est_theta_se)
# achieved attribute matching each constraint
nc <- length(object@constraints@list_constraints)
tmp <- sapply(object@output, function(x) {
getSolutionAttributes(
object@constraints,
x@administered_item_index,
TRUE
)
})
achieved <- vector("list", nc)
for (i in 1:nc) {
achieved[[i]] <- NA
if (nc == 1) {
x <- do.call("c", tmp)
} else {
x <- do.call("c", tmp[i, ])
}
if (!is.null(achieved)) {
achieved[[i]] <- x
}
}
a_mean <- sapply(achieved, mean)
a_sd <- sapply(achieved, sd)
a_min <- sapply(achieved, min)
a_max <- sapply(achieved, max)
tmp <- object@constraints@constraints
tmp <- cbind(tmp, mean = a_mean, sd = a_sd, min = a_min, max = a_max)
if (!simple) {
out@achieved <- tmp
} else {
out@achieved <- NULL
}
return(out)
})
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