qplot: Quick plot

In ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics

Quick plot

Description

qplot() is now deprecated in order to encourage the users to learn ggplot() as it makes it easier to create complex graphics.

Usage

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 = deprecated(),
  position = deprecated()
)

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 = deprecated(),
  position = deprecated()
)

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

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)


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")

ggplot2 documentation built on June 22, 2024, 11:35 a.m.