#' Logistic function
#'
#' Implementation of the logistic function
#'
#' @param x value to apply the function to.
#' @param x0 midpoint parameter. Gives the centre of the function.
#' @param k shape parameter. Gives the slope of the function.
#'
#' @return Value of logistic function with given parameters
#'
#' @noRd
logistic <- function(x, x0, k) {
1 / (1 + exp(-k * (x - x0)))
}
#' Bind rows (matched)
#'
#' Bind the rows of two data frames, keeping only the columns that are common
#' to both.
#'
#' @param df1 first data.frame to bind.
#' @param df2 second data.frame to bind.
#'
#' @return data.frame containing rows from \code{df1} and \code{df2} but only
#' common columns.
#'
#' @noRd
rbindMatched <- function(df1, df2) {
common.names <- intersect(colnames(df1), colnames(df2))
if (length(common.names) < 2) {
stop("There must be at least two columns in common")
}
combined <- rbind(df1[, common.names], df2[, common.names])
return(combined)
}
#' Bring items forward
#'
#' Move selected items to the start of a list.
#'
#' @param ll list to adjust item order.
#' @param items vector of items to bring to the front. Any not in the list will
#' be ignored.
#'
#' @return list with selected items first
#'
#' @noRd
bringItemsForward <- function(ll, items) {
checkmate::check_list(ll, min.len = 1, names = "unique")
checkmate::check_character(
items,
any.missing = FALSE, min.len = 1, unique = TRUE
)
items <- items[items %in% names(ll)]
if (length(items) > 0) {
ll.front <- ll[items]
ll.back <- ll[!(names(ll) %in% items)]
ll <- c(ll.front, ll.back)
}
return(ll)
}
#' Winsorize vector
#'
#' Set outliers in a numeric vector to a specified percentile.
#'
#' @param x Numeric vector to winsorize
#' @param q Percentile to set from each end
#'
#' @return Winsorized numeric vector
#'
#' @noRd
winsorize <- function(x, q) {
checkmate::check_numeric(x, any.missing = FALSE)
checkmate::check_number(q, lower = 0, upper = 1)
lohi <- stats::quantile(x, c(q, 1 - q), na.rm = TRUE)
if (diff(lohi) < 0) {
lohi <- rev(lohi)
}
x[!is.na(x) & x < lohi[1]] <- lohi[1]
x[!is.na(x) & x > lohi[2]] <- lohi[2]
return(x)
}
#' Calculate coefficient of variation
#'
#' Implementation of the coefficient of variation
#'
#' @param x vector of values.
#'
#' @return Value of coefficient of variation for vector
#' @importFrom stats sd
#'
#' @noRd
co.var <- function(x) {
sd(x) / mean(x)
}
#' Check dependencies
#'
#' Check suggested dependencies and prompt the user to install them if not
#' available
#'
#' @param sim.prefix prefix for a simulation to check.
#' @param deps vector of dependency names.
#'
#' @return TRUE invisibly if successful
#'
#' @importFrom utils askYesNo install.packages
#'
#' @noRd
checkDependencies <- function(sim.prefix = NULL, deps = NULL) {
if (is.null(sim.prefix) && is.null(deps)) {
stop("One of 'sim.prefix' or 'deps' must be provided")
}
if (!is.null(sim.prefix) && !is.null(deps)) {
stop("Only one of 'sim.prefix' or 'deps' must be provided")
}
if (!is.null(sim.prefix)) {
sims <- listSims(print = FALSE)
sim.prefix <- match.arg(sim.prefix, sims$Prefix)
deps <- sims$Dependencies[sims$Prefix == sim.prefix]
deps <- strsplit(deps, ", ")[[1]]
}
deps.available <- vapply(deps, requireNamespace, c(TRUE), quietly = TRUE)
if (all(deps.available)) {
return(invisible(TRUE))
}
message(
"The following dependencies for this function are not available: ",
paste("'", deps[!deps.available], "'", collapse = ", ", sep = "")
)
install <- interactive() &&
askYesNo("Do you want to install these packages?")
if (!install) {
stop("Manually install dependencies to continue", call. = FALSE)
}
if (!requireNamespace("BiocManager", quietly = TRUE)) {
message(
"'BiocManager' is not installed and is required for installation"
)
install.bioc <- askYesNo("Do you want to install 'BiocManager'?")
if (install.bioc) {
install.packages("BiocManager")
} else {
stop("Manually install BiocManager to continue", call. = FALSE)
}
}
BiocManager::install(deps)
deps.available <- vapply(deps, requireNamespace, c(TRUE), quietly = TRUE)
if (!all(deps.available)) {
stop("Some dependencies are still not available")
}
invisible(TRUE)
}
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