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#' Print method for objects of class \code{netfacs}
#'
#' @param x An object of class \code{netfacs}
#' @param ... Additional arguments that would be passed to or from other methods
#' @export
print.netfacs <- function(x, ...) {
n_events <- nrow(x$used.data$data)
n_elements <- length(colnames(x$used.data$data))
n_combinations <- nrow(x$res)
max_comb_size <- max(x$result$combination.size)
method <- attr(x, "stat_method")
n_ran_trials <- attr(x, "random_trials")
cat(
"A netfacs object: \n",
"Number of elements:", n_elements, "\n",
"Number of element combinations:", n_combinations, "\n",
"Maximum combination size:", max_comb_size, "\n",
"Number of observations:", n_events, "\n",
"Stat method:", method, "\n",
"Random trials:", n_ran_trials,
"\n"
)
}
#' Print method for objects of class \code{netfacs_multiple}
#'
#' @param x An object of class \code{netfacs_multiple}
#' @param ... Additional arguments that would be passed to or from other methods
#' @export
print.netfacs_multiple <- function(x, ...) {
n.conditions <- length(names(x))
method <- attr(x, "stat_method")
n_ran_trials <- attr(x, "random_trials")
cat(
"A netfacs_multiple object: \n",
"Number of conditions:", n.conditions, "\n",
"Stat method:", method, "\n",
"Random trials:", n_ran_trials,
"\n"
)
}
#' Checks if argument is a \code{netfacs} object
#'
#' @param x An \R object
#'
#' @export
is.netfacs <- function(x) {
inherits(x, "netfacs")
}
#' Checks if argument is a \code{netfacs_multiple} object
#'
#' @param x An \R object
#'
#' @export
is.netfacs_multiple <- function(x) {
inherits(x, "netfacs_multiple")
}
#' Checks if argument is a \code{netfacs_specificity} object
#'
#' @param x An \R object
#'
#' @export
is.netfacs_specificity <- function(x) {
inherits(x, "netfacs_specificity")
}
#' Extract used data from a \code{netfacs} object
#'
#' @param x extract data from the test condition of a \code{netfacs} object
#' @param condition one of "all" (default), "test" or "null".
#' @export
get_data <- function(x,
condition = "all") {
m <- x$used.data$data
if (condition == "all") {
return(m)
}
if (condition == "test") {
if (attr(x, "stat_method") == "bootstrap") {
out <- m[x$used.data$condition == x$used.parameters$test.condition, ,
drop = FALSE]
return(out)
} else {
# if the method is permutation the whole matrix is the test data
return(m)
}
}
if (condition == "null") {
if (attr(x, "stat_method") == "bootstrap") {
out <- m[x$used.data$condition == x$used.parameters$null.condition, ]
return(out)
} else {
return(NULL)
}
}
}
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