R/print.sc_outlier.R

In scan: Single-Case Data Analyses for Single and Multiple Baseline Designs

#' @rdname print.sc
#' @export
print.sc_outlier <- function(x, digits = "auto", ...) {
  
  cat("Outlier Analysis for Single-Case Data\n\n")
  
  if (x$criteria[1] == "CI") {
    names(x$ci.matrix) <- x$case.names
    cat("Criteria: Exceeds", as.numeric(x$criteria[2]) * 100, 
        "% Confidence Interval\n\n")
    print(x$ci.matrix)
  }
  
  if (x$criteria[1] == "SD") {
    names(x$sd.matrix) <- x$case.names
    cat("Criteria: Exceeds", x$criteria[2], "Standard Deviations\n\n")
    print(x$sd.matrix)
  }
  
  if (x$criteria[1] == "MAD") {
    names(x$mad.matrix) <- x$case.names
    cat("Criteria: Exceeds", x$criteria[2], "Mean Average Deviations\n\n")
    print(x$mad.matrix)
  }
  
  if (x$criteria[1] == "Cook") {
    cat("Criteria: Cook's Distance based on piecewise-regression exceeds", 
        x$criteria[2],"\n\n")
  }
  
  for(i in 1:length(x$dropped.n)) {
    cat("Case",x $case.names[i],": Dropped", x$dropped.n[[i]], "\n")
  }
  cat("\n")
}