Quick plot

qplot is a shortcut designed to be familiar if you're used to base plot(). It's a convenient wrapper for creating a number of different types of plots using a consistent calling scheme. It's great for allowing you to produce plots quickly, but I highly recommend learning ggplot() as it makes it easier to create complex graphics.

qplot(
  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 = NULL,
  position = NULL
)

quickplot(
  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 = NULL,
  position = NULL
)

Arguments

x, y, ...	Aesthetics passed into each layer
data	Data frame to use (optional). If not specified, will create one, extracting vectors from the current environment.
facets	faceting formula to use. Picks facet_wrap() or facet_grid() depending on whether the formula is one- or two-sided
margins	See facet_grid: display marginal facets?
geom	Character vector specifying geom(s) to draw. Defaults to "point" if x and y are specified, and "histogram" if only x is specified.
xlim, ylim	X and y axis limits
log	Which variables to log transform ("x", "y", or "xy")
main, xlab, ylab	Character vector (or expression) giving plot title, x axis label, and y axis label respectively.
asp	The y/x aspect ratio
stat, position	DEPRECATED.

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{
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)
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
# 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")
#> `stat_bindot()` using `bins = 30`. Pick better value with `binwidth`.
# }