qboxplot: Draw boxplots for several variables in the data or a...
In ggobi/cranvas: Interactive statistical graphics based on Qt

Description Usage Arguments Details Value Author(s) See Also Examples

This function can draw side-by-side boxplots for all the variables in a data frame or boxplots for a continous variable vs a categorical variable.

1 2	qboxplot(vars, data, at = NULL, width = NULL, horizontal = FALSE, main = "", xlim = NULL, ylim = NULL, xlab = NULL, ylab = NULL, points = FALSE)

`vars`	a list of variables (a character vector), or a formula; a one-sided formula like `~ x1 + x2 + x3` means to draw side-by-side boxplots for the variables in the right hand side, whereas a two-sided formula like `y ~ x` means boxplots of a continuous `y` against a categorical `x`
`at`	the locations of the boxplots (by default from 1 to `p` where `p` is the number of variables to plot or the number of levels of the categorical variable)
`width`	width(s) of boxes (do not have to be a same value if provided as a numeric vector); by default it is about 1/10 of the screen width
`horizontal`	horizontal or vertical boxplots
`points`	whether to add data points to the boxplot
`data`	a mutaframe created by `qdata`
`main`	the main title
`xlim`	a numeric vector of length 2 (like `c(x0, x1)`) for x-axis limits; it will be calculated from the data limits if not specified (`NULL`). Note when `x0 > x1`, the axis direction will be reversed (i.e. from larger values to small values)
`ylim`	y-axis limits; similar to `xlim`
`xlab`	x-axis title
`ylab`	y-axis title

Common interactions are documented in common_key_press. Note boxplots also supports brushing and can respond to brushing in other plots. When we brush in other plots which are based on the same data, there will be “child” boxplots in this plot showing the distributions of the brushed data.

A boxplot

Yihui Xie <http://yihui.name>

Other plots: qbar; qdensity; qhist, qspine; qmval; qparallel; qtime

library(cranvas)

### (1) some test cases
df <- qdata(as.data.frame(matrix(rnorm(1000), 200)))
qboxplot(~., df)
qboxplot(~., df, horizontal = TRUE)
qboxplot(~., df, at = (1:5)^2)  # at different locations
qboxplot(~., df, width = 0.1 * sample(5))  # different widths


### (2) flea data
data(flea, package = "tourr")
qflea <- qdata(flea)

## continuous vs categorical variable
qboxplot(tars1 ~ species, data = qflea)

## side-by-side boxplots for several continuous variables
qboxplot(~aede1 + aede2 + aede3, data = qflea)

## brush on other plots and we see little boxplots
qparallel(~., data = qflea)

qscatter(tars1, tars2, data = qflea)


## we can turn on the point layer too
qboxplot(tars1 ~ species, data = qflea, points = TRUE)

## show points with colors
qflea2 <- qdata(flea, color = species)
qboxplot(~aede1 + aede2 + aede3, data = qflea2, points = TRUE)

cranvas_off()