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Quick plot — qplot • ggplot2

qplot() is now deprecated in order to encourage the users to learn 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 = 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()
)

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

# Use data from data.frame
qplot(mpg, wt, data = mtcars)
#> Warning: `qplot()` was deprecated in ggplot2 3.4.0.

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)
#> `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")
#> Bin width defaults to 1/30 of the range of the data. Pick better value
#> with `binwidth`.

# }

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