Description Usage Arguments Details Value Examples
Plot lines indicating the specified quantiles for each group. This function is intended as a simplified interpretation of boxplot,
which can be combined with a beeswarm (or stripchart) plot.
1 2 3 4 5 6 7 8 9 10 |
formula |
A formula, such as |
data |
A data.frame (or list) from which the variables in
|
subset |
An optional vector specifying a subset of observations to be used. |
na.action |
A function which indicates what should happen
when the data contain |
x |
A numeric vector, or a data frame or list of numeric vectors, each of which is considered as a group. |
probs |
A numeric vector of probabilities with values in [0,1] |
vertical, horizontal |
Orientation of the plot. |
add |
Add to an existing plot? |
col, lty |
Color and line type for each probability. |
lwd |
Line width for each probability (see below). |
at |
Numeric vector giving the locations where the swarms should be drawn; defaults to |
width |
Width of the lines. |
... |
Further arguments passed to |
This function is intended as a minimalistic interpration of boxplot; however, the quantiles plotted by bxplot are not necessarily the same as the hinges plotted by a boxplot.
Notice that specifying a vector of graphical parameters such as lwd or col will refer to each of probs, not to each group in the data (as one might expect by analogy with boxplot).
If lwd is NULL, and if the probs includes 0.5, lwd will be set to 3 times par("lwd") for probs=0.5, and par("lwd") for the others. (Thus something resembling the median line and hinges of a boxplot is produced by default.)
None.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ## bxplot on bottom
beeswarm(len ~ dose, data = ToothGrowth)
bxplot(len ~ dose, data = ToothGrowth, add = TRUE)
## bxplot on top
bxplot(decrease ~ treatment, data = OrchardSprays, probs = 0.5, col = 2)
beeswarm(decrease ~ treatment, data = OrchardSprays, add = TRUE)
## Show deciles
data(breast)
bxplot(time_survival ~ event_survival, data = breast,
probs = seq(0, 1, by = 0.1), col = rainbow(10))
beeswarm(time_survival ~ event_survival, data = breast,
pch = 21, bg = "gray75", add = TRUE)
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