Quick plot

Usage

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

Description

qplot is the basic plotting function in the ggplot2 package, 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.

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)

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`.