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#' Typeset Within-Subjects Confidence Intervals
#'
#' This method takes an output object from \code{\link{wsci}} and creates a
#' table and character strings to report means and within-subjects confidence
#' intervals in a table or in text.
#'
#' @param x An object of class \code{papaja_wsci}.
#' @inheritDotParams apa_num.numeric
#'
#' @evalRd apa_results_return_value()
#'
#' @method apa_print papaja_wsci
#' @export
apa_print.papaja_wsci <- function(x, ...) {
# Note: Parameter 'in_paren' is not necessary (estimate only contains brackets, these are not changed when placed in parentheses)
summary_wsci <- summary(x)
res <- init_apa_results()
res$estimate <- as.list(
paste0(
"$M = "
, apa_num(summary_wsci$mean, ...)
, "$, "
, apa_confint(
x = summary_wsci[, c("lower_limit", "upper_limit")]
, conf.int = attr(x, "Confidence level")
, enclose_math = TRUE
, ...
)
)
)
factors <- setdiff(colnames(summary_wsci), c("mean", "lower_limit", "upper_limit"))
args <- list()
for(i in factors) {
args[[i]] <- paste0(i, summary_wsci[[i]])
}
args$sep = "_"
names(res$estimate) <- do.call("paste", args) # TODO: add names consistent with other methods (especially emm)
# res$full_result <- res$estimate
res$table <- summary_wsci[, factors, drop = FALSE]
for(i in factors) {
res$table[[i]] <- as.character(res$table[[i]], keep_label = TRUE)
}
res$table$estimate <- apa_num(summary_wsci$mean, ...)
res$table$conf.int <- unlist(
apa_interval(
summary_wsci[, c("lower_limit", "upper_limit"), drop = FALSE]
, interval_type = NULL # suppresses leading NA% CI
, ...
)
)
variable_labels(res$table) <- c(
estimate = "$M$"
, conf.int = paste0(attr(x, "Confidence level") * 100, "\\% CI")
)
res$table <- default_label(res$table) # add labels for factors
class(res$table) <- c("apa_results_table", "data.frame")
# return
res
}
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