`stripchart`

produces one dimensional scatter plots (or dot
plots) of the given data. These plots are a good alternative to
`boxplot`

s when sample sizes are small.

`stripchart(x, …)`# S3 method for formula
stripchart(x, data = NULL, dlab = NULL, …,
subset, na.action = NULL)

# S3 method for default
stripchart(x, method = "overplot", jitter = 0.1, offset = 1/3,
vertical = FALSE, group.names, add = FALSE,
at = NULL, xlim = NULL, ylim = NULL,
ylab = NULL, xlab = NULL, dlab = "", glab = "",
log = "", pch = 0, col = par("fg"), cex = par("cex"),
axes = TRUE, frame.plot = axes, …)

x

the data from which the plots are to be produced. In the
default method the data can be specified as a single numeric
vector, or as list of numeric vectors, each corresponding to
a component plot. In the `formula`

method, a symbolic
specification of the form `y ~ g`

can be given,
indicating the observations in the vector `y`

are to be
grouped according to the levels of the factor
`g`

. `NA`

s are allowed in the data.

data

a data.frame (or list) from which the variables in
`x`

should be taken.

subset

an optional vector specifying a subset of observations to be used for plotting.

na.action

a function which indicates what should happen
when the data contain `NA`

s. The default is to ignore missing
values in either the response or the group.

…

additional parameters passed to the default method, or by
it to `plot.window`

, `points`

,
`axis`

and `title`

to control the appearance
of the plot.

method

the method to be used to separate coincident points.
The default method `"overplot"`

causes such points to be
overplotted, but it is also possible to specify `"jitter"`

to
jitter the points, or `"stack"`

have coincident points
stacked. The last method only makes sense for very granular data.

jitter

when `method = "jitter"`

is used, `jitter`

gives the amount of jittering applied.

offset

when stacking is used, points are stacked this many line-heights (symbol widths) apart.

vertical

when vertical is `TRUE`

the plots are drawn
vertically rather than the default horizontal.

group.names

group labels which will be printed alongside (or underneath) each plot.

add

logical, if true *add* the chart to the current plot.

at

numeric vector giving the locations where the charts should
be drawn, particularly when `add = TRUE`

;
defaults to `1:n`

where `n`

is the number of boxes.

ylab, xlab

labels: see `title`

.

dlab, glab

alternate way to specify axis labels: see ‘Details’.

xlim, ylim

plot limits: see `plot.window`

.

log

on which axes to use a log scale: see
`plot.default`

pch, col, cex

Graphical parameters: see `par`

.

axes, frame.plot

Axis control: see `plot.default`

.

Extensive examples of the use of this kind of plot can be found in Box, Hunter and Hunter or Seber and Wild.

The `dlab`

and `glab`

labels may be used instead of `xlab`

and `ylab`

if those are not specified. `dlab`

applies to the
continuous data axis (the X axis unless `vertical`

is `TRUE`

),
`glab`

to the group axis.

# NOT RUN { x <- stats::rnorm(50) xr <- round(x, 1) stripchart(x) ; m <- mean(par("usr")[1:2]) text(m, 1.04, "stripchart(x, \"overplot\")") stripchart(xr, method = "stack", add = TRUE, at = 1.2) text(m, 1.35, "stripchart(round(x,1), \"stack\")") stripchart(xr, method = "jitter", add = TRUE, at = 0.7) text(m, 0.85, "stripchart(round(x,1), \"jitter\")") stripchart(decrease ~ treatment, main = "stripchart(OrchardSprays)", vertical = TRUE, log = "y", data = OrchardSprays) stripchart(decrease ~ treatment, at = c(1:8)^2, main = "stripchart(OrchardSprays)", vertical = TRUE, log = "y", data = OrchardSprays) # }

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