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#' Set Intervals
#'
#' Takes in two objects, the PKNCAdata object and the proposed intervals.
#' It will then check that the intervals are valid, given the data object.
#' If the intervals are valid, it will set them in the object.
#' It will return the data object with the intervals set.
#'
#' @param data PKNCAdata object
#' @param intervals Proposed intervals
#' @returns The data object with the intervals set.
#'
#' @export
set_intervals <- function(data, intervals) {
valid_intervals <- assert_intervals(intervals, data)
data$intervals <- valid_intervals
data
}
#' Assert Intervals
#'
#' Verifies that an interval definition is valid for a PKNCAdata object.
#' Valid means that intervals are a data.frame (or data.frame-like object),
#' that the column names are either the groupings of the PKNCAconc part of
#' the PKNCAdata object or that they are one of the NCA parameters allowed
#' (i.e. names(get.interval.cols())).
#' It will return the intervals argument unchanged, or it will raise an error.
#'
#' @param intervals Proposed intervals
#' @param data PKNCAdata object
#' @returns The intervals argument unchanged, or it will raise an error.
#'
#' @export
assert_intervals <- function(intervals, data) {
if (!is.data.frame(intervals)) {
stop("The 'intervals' argument must be a data frame or a data frame-like object.")
}
if (!inherits(data, "PKNCAdata")) {
stop("The 'data' argument must be a PKNCAdata object.")
}
allowed_columns <-
c(
names(getGroups.PKNCAdata(data)),
names(get.interval.cols()),
"conc_above",
"time_above",
"impute",
# If not used, data$options$keep_interval_cols will be NULL
data$options$keep_interval_cols
)
invalid_columns <- setdiff(names(intervals), allowed_columns)
if (length(invalid_columns) > 0) {
stop("The following columns in 'intervals' are not allowed: ", paste(invalid_columns, collapse = ", "))
}
intervals
}
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