# plot.isoreg

##### Plot Method for isoreg Objects

##### Usage

```
# S3 method for isoreg
plot(x, plot.type = c("single", "row.wise", "col.wise"),
main = paste("Isotonic regression", deparse(x$call)),
main2 = "Cumulative Data and Convex Minorant",
xlab = "x0", ylab = "x$y",
par.fit = list(col = "red", cex = 1.5, pch = 13, lwd = 1.5),
mar = if (both) 0.1 + c(3.5, 2.5, 1, 1) else par("mar"),
mgp = if (both) c(1.6, 0.7, 0) else par("mgp"),
grid = length(x$x) < 12, …)
```# S3 method for isoreg
lines(x, col = "red", lwd = 1.5,
do.points = FALSE, cex = 1.5, pch = 13, …)

##### Arguments

- x
- an
`isoreg`

object. - plot.type
- character indicating which type of plot is desired. The first (default) only draws the data and the fit, where the others add a plot of the cumulative data and fit. Can be abbreviated.
- main
- main title of plot, see
`title`

. - main2
- title for second (cumulative) plot.
- xlab, ylab
- x- and y- axis annotation.
- par.fit
- a
`list`

of arguments (for`points`

and`lines`

) for drawing the fit. - mar, mgp
- graphical parameters, see
`par`

, mainly for the case of two plots. - grid
- logical indicating if grid lines should be drawn. If
true,
`grid()`

is used for the first plot, where as vertical lines are drawn at ‘touching’ points for the cumulative plot. - do.points
- for
`lines()`

: logical indicating if the step points should be drawn as well (and as they are drawn in`plot()`

). - col, lwd, cex, pch
- graphical arguments for
`lines()`

, where`cex`

and`pch`

are only used when`do.points`

is`TRUE`

. - …
- further arguments passed to and from methods.

##### See Also

`isoreg`

for computation of `isoreg`

objects.

##### Examples

`library(stats)`

```
require(graphics)
utils::example(isoreg) # for the examples there
plot(y3, main = "simple plot(.) + lines(<isoreg>)")
lines(ir3)
## 'same' plot as above, "proving" that only ranks of 'x' are important
plot(isoreg(2^(1:9), c(1,0,4,3,3,5,4,2,0)), plot.type = "row", log = "x")
plot(ir3, plot.type = "row", ylab = "y3")
plot(isoreg(y3 - 4), plot.t="r", ylab = "y3 - 4")
plot(ir4, plot.type = "ro", ylab = "y4", xlab = "x = 1:n")
## experiment a bit with these (C-c C-j):
plot(isoreg(sample(9), y3), plot.type = "row")
plot(isoreg(sample(9), y3), plot.type = "col.wise")
plot(ir <- isoreg(sample(10), sample(10, replace = TRUE)),
plot.type = "r")
```

*Documentation reproduced from package stats, version 3.3.3, License: Part of R 3.3.3*

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