ggplot2 (version 1.0.0)

qplot: Quick plot

Description

qplot is the basic plotting function in the ggplot2 package, designed to be familiar if you're used to plot from the base package. It is a convenient wrapper for creating a number of different types of plots using a consistent calling scheme. See http://had.co.nz/ggplot2/book/qplot.pdf for the chapter in the ggplot2 book which describes the usage of qplot in detail.

Usage

qplot(x, y = NULL, ..., data, facets = NULL, margins = FALSE,
  geom = "auto", stat = list(NULL), position = list(NULL), xlim = c(NA,
  NA), ylim = c(NA, NA), log = "", main = NULL,
  xlab = deparse(substitute(x)), ylab = deparse(substitute(y)), asp = NA)

Arguments

x

x values

y

y values

...

other aesthetics passed for 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 sided or two-sided

margins

whether or not margins will be displayed

geom

character vector specifying geom to use. Defaults to "point" if x and y are specified, and "histogram" if only x is specified.

stat

character vector specifying statistics to use

position

character vector giving position adjustment to use

xlim

limits for x axis

ylim

limits for y axis

log

which variables to log transform ("x", "y", or "xy")

main

character vector or expression for plot title

xlab

character vector or expression for x axis label

ylab

character vector or expression for y axis label

asp

the y/x aspect ratio

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)

# It will use data from local environment
hp <- mtcars$hp
wt <- mtcars$wt
cyl <- mtcars$cyl
vs <- mtcars$vs
am <- mtcars$am
qplot(hp, wt)
qplot(hp, wt, colour=cyl)
qplot(hp, wt, size=cyl)
qplot(hp, wt, facets=vs ~ am)

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))
qplot(resid(mod), fitted(mod), facets = . ~ vs)

f <- function() {
   a <- 1:10
   b <- a ^ 2
   qplot(a, b)
}
f()

# 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")