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#' Add a line with slope and intercept.
#'
#' @keywords internal
#' @inheritParams stat_identity
#' @seealso \code{\link{geom_abline}} for code examples.
#' @export
#' @examples
#' # see geom_abline
stat_abline <- function (mapping = NULL, data = NULL, geom = "abline", position = "identity", ...) {
StatAbline$new(mapping = mapping, data = data, geom = geom, position = position, ...)
}
StatAbline <- proto(Stat, {
objname <- "abline"
calculate <- function(., data, scales, intercept = NULL, slope = NULL, ...) {
if (is.null(intercept)) {
if (is.null(data$intercept)) data$intercept <- 0
} else {
data <- data[rep(1, length(intercept)), , drop = FALSE]
data$intercept <- intercept
}
if (is.null(slope)) {
if (is.null(data$slope)) data$slope <- 1
} else {
data <- data[rep(1, length(slope)), , drop = FALSE]
data$slope <- slope
}
unique(data)
}
default_geom <- function(.) GeomAbline
})
#' Add a vertical line
#'
#' @keywords internal
#' @inheritParams stat_identity
#' @seealso \code{\link{geom_vline}} for code examples.
#' @export
#' @examples
#' # see geom_vline
stat_vline <- function (mapping = NULL, data = NULL, geom = "vline", position = "identity",
xintercept, ...) {
StatVline$new(mapping = mapping, data = data, geom = geom, position = position,
xintercept = xintercept, ...)
}
StatVline <- proto(Stat, {
objname <- "vline"
calculate <- function(., data, scales, xintercept = NULL, intercept, ...) {
if (!missing(intercept)) {
stop("stat_vline now uses xintercept instead of intercept")
}
data <- compute_intercept(data, xintercept, "x")
unique(within(data, {
x <- xintercept
xend <- xintercept
}))
}
required_aes <- c()
default_geom <- function(.) GeomVline
})
#' Add a horizontal line
#'
#' @keywords internal
#' @inheritParams stat_identity
#' @seealso \code{\link{geom_hline}} for code examples.
#' @export
#' @examples
#' # see geom_hline
stat_hline <- function (mapping = NULL, data = NULL, geom = "hline", position = "identity",
yintercept, ...) {
StatHline$new(mapping = mapping, data = data, geom = geom, position = position,
yintercept = yintercept, ...)
}
StatHline <- proto(Stat, {
calculate <- function(., data, scales, yintercept = NULL, intercept, ...) {
if (!missing(intercept)) {
stop("stat_hline now uses yintercept instead of intercept")
}
data <- compute_intercept(data, yintercept, "y")
unique(within(data, {
y <- yintercept
yend <- yintercept
}))
}
objname <- "hline"
desc <- "Add a horizontal line"
required_aes <- c()
default_geom <- function(.) GeomHline
examples <- function(.) {
# See geom_hline for examples
}
})
# Compute intercept for vline and hline from data and parameters
#
# @keyword internal
compute_intercept <- function(data, intercept, var = "x") {
ivar <- paste(var, "intercept", sep = "")
if (is.null(intercept)) {
# Intercept comes from data, default to 0 if not set
if (is.null(data[[ivar]])) data[[ivar]] <- 0
} else if (is.numeric(intercept)) {
# Intercept is a numeric vector of positions
data <- data[rep(1, length(intercept)), ]
data[[ivar]] <- intercept
} else if (is.character(intercept) || is.function(intercept)) {
# Intercept is a function
f <- match.fun(intercept)
trans <- function(data) {
data[[ivar]] <- f(data[[var]])
data
}
data <- ddply(data, "group", trans)
} else {
stop("Invalid intercept type: should be a numeric vector, a function",
", or a name of a function", call. = FALSE)
}
data
}
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