plot.isoreg {stats} | R Documentation |

The `plot`

and `lines`

method for
**R** objects of class `isoreg`

.

## S3 method for class '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 class 'isoreg': lines(x, col = "red", lwd = 1.5, do.points = FALSE, cex = 1.5, pch = 13, ...)

`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. |

`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. |

`isoreg`

for computation of `isoreg`

objects.

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.t = "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.t = "r")

[Package *stats* version 2.5.0 Index]