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#' Quick plot
#'
#' `qplot()` is now deprecated in order to encourage the users to
#' learn [ggplot()] as it makes it easier to create complex graphics.
#'
#' @param x,y,... Aesthetics passed into each layer
#' @param data Data frame to use (optional). If not specified, will create
#' one, extracting vectors from the current environment.
#' @param facets faceting formula to use. Picks [facet_wrap()] or
#' [facet_grid()] depending on whether the formula is one-
#' or two-sided
#' @param margins See `facet_grid()`: display marginal facets?
#' @param geom Character vector specifying geom(s) to draw. Defaults to
#' "point" if x and y are specified, and "histogram" if only x is specified.
#' @param stat,position `r lifecycle::badge("deprecated")`
#' @param xlim,ylim X and y axis limits
#' @param log Which variables to log transform ("x", "y", or "xy")
#' @param main,xlab,ylab Character vector (or expression) giving plot title,
#' x axis label, and y axis label respectively.
#' @param asp The y/x aspect ratio
#' @export
#' @examples
#' # Use data from data.frame
#' qplot(mpg, wt, data = mtcars)
#' qplot(mpg, wt, data = mtcars, colour = cyl)
#' qplot(mpg, wt, data = mtcars, size = cyl)
#' qplot(mpg, wt, data = mtcars, facets = vs ~ am)
#'
#' \donttest{
#' set.seed(1)
#' qplot(1:10, rnorm(10), colour = runif(10))
#' qplot(1:10, letters[1:10])
#' mod <- lm(mpg ~ wt, data = mtcars)
#' qplot(resid(mod), fitted(mod))
#'
#' f <- function() {
#' a <- 1:10
#' b <- a ^ 2
#' qplot(a, b)
#' }
#' f()
#'
#' # To set aesthetics, wrap in I()
#' qplot(mpg, wt, data = mtcars, colour = I("red"))
#'
#' # qplot will attempt to guess what geom you want depending on the input
#' # both x and y supplied = scatterplot
#' qplot(mpg, wt, data = mtcars)
#' # just x supplied = histogram
#' qplot(mpg, data = mtcars)
#' # just y supplied = scatterplot, with x = seq_along(y)
#' qplot(y = mpg, data = mtcars)
#'
#' # Use different geoms
#' qplot(mpg, wt, data = mtcars, geom = "path")
#' qplot(factor(cyl), wt, data = mtcars, geom = c("boxplot", "jitter"))
#' qplot(mpg, data = mtcars, geom = "dotplot")
#' }
qplot <- function(x, y, ..., data, facets = NULL, margins = FALSE,
geom = "auto", xlim = c(NA, NA),
ylim = c(NA, NA), log = "", main = NULL,
xlab = NULL, ylab = NULL,
asp = NA, stat = deprecated(), position = deprecated()) {
deprecate_soft0("3.4.0", "qplot()")
caller_env <- parent.frame()
if (lifecycle::is_present(stat)) lifecycle::deprecate_stop("2.0.0", "qplot(stat)")
if (lifecycle::is_present(position)) lifecycle::deprecate_stop("2.0.0", "qplot(position)")
check_character(geom)
exprs <- enquos(x = x, y = y, ...)
is_missing <- vapply(exprs, quo_is_missing, logical(1))
# treat arguments as regular parameters if they are wrapped into I() or
# if they don't have a name that is in the list of all aesthetics
is_constant <- (!names(exprs) %in% ggplot_global$all_aesthetics) |
vapply(exprs, quo_is_call, logical(1), name = "I")
mapping <- new_aes(exprs[!is_missing & !is_constant], env = parent.frame())
consts <- exprs[is_constant]
aes_names <- names(mapping)
mapping <- rename_aes(mapping)
if (is.null(xlab)) {
# Avoid <empty> label (#4170)
if (quo_is_missing(exprs$x)) {
xlab <- ""
} else {
xlab <- as_label(exprs$x)
}
}
if (is.null(ylab)) {
if (quo_is_missing(exprs$y)) {
ylab <- ""
} else {
ylab <- as_label(exprs$y)
}
}
if (missing(data)) {
# If data not explicitly specified, will be pulled from workspace
data <- data_frame0()
# Faceting variables must be in a data frame, so pull those out
facetvars <- all.vars(facets)
facetvars <- facetvars[facetvars != "."]
names(facetvars) <- facetvars
# FIXME?
facetsdf <- as.data.frame(mget(facetvars, envir = caller_env))
if (nrow(facetsdf)) data <- facetsdf
}
# Work out plot data, and modify aesthetics, if necessary
if ("auto" %in% geom) {
if ("sample" %in% aes_names) {
geom[geom == "auto"] <- "qq"
} else if (missing(y)) {
x <- eval_tidy(mapping$x, data, caller_env)
if (is.discrete(x)) {
geom[geom == "auto"] <- "bar"
} else {
geom[geom == "auto"] <- "histogram"
}
if (is.null(ylab)) ylab <- "count"
} else {
if (missing(x)) {
mapping$x <- quo(seq_along(!!mapping$y))
}
geom[geom == "auto"] <- "point"
}
}
p <- ggplot(data, mapping, environment = caller_env)
if (is.null(facets)) {
p <- p + facet_null()
} else if (is.formula(facets) && length(facets) == 2) {
p <- p + facet_wrap(facets)
} else {
p <- p + facet_grid(rows = deparse(facets), margins = margins)
}
if (!is.null(main)) p <- p + ggtitle(main)
# Add geoms/statistics
for (g in geom) {
# We reevaluate constants once per geom for historical reasons?
params <- lapply(consts, eval_tidy)
p <- p + do.call(paste0("geom_", g), params)
}
logv <- function(var) var %in% strsplit(log, "")[[1]]
if (logv("x")) p <- p + scale_x_log10()
if (logv("y")) p <- p + scale_y_log10()
if (!is.na(asp)) p <- p + theme(aspect.ratio = asp)
if (!missing(xlab)) p <- p + xlab(xlab)
if (!missing(ylab)) p <- p + ylab(ylab)
if (!missing(xlim) && !all(is.na(xlim))) p <- p + xlim(xlim)
if (!missing(ylim) && !all(is.na(ylim))) p <- p + ylim(ylim)
p
}
#' @export
#' @rdname qplot
quickplot <- qplot
is.constant <- function(x) {
is_I_call <- function(x) is.call(x) && identical(x[[1]], quote(I))
vapply(x, is_I_call, logical(1))
}
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