contourLines {grDevices} | R Documentation |

## Calculate Contour Lines

### Description

Calculate contour lines for a given set of data.

### Usage

```
contourLines(x = seq(0, 1, length.out = nrow(z)),
y = seq(0, 1, length.out = ncol(z)),
z, nlevels = 10,
levels = pretty(range(z, na.rm = TRUE), nlevels))
```

### Arguments

`x` , `y` |
locations of grid lines at which the values in |

`z` |
a matrix containing the values to be plotted ( |

`nlevels` |
number of contour levels desired |

`levels` |
numeric vector of levels at which to draw contour lines. |

### Details

`contourLines`

draws nothing, but returns a set of contour lines.

There is currently no documentation about the algorithm.
The source code is in ‘`R_HOME`/src/main/plot3d.c’.

### Value

A `list`

of contours, each itself a `list`

with elements:

`level` |
The contour level. |

`x` |
The x-coordinates of the contour. |

`y` |
The y-coordinates of the contour. |

### See Also

`options("max.contour.segments")`

for the maximal
complexity of a single contour line.

`contour`

: Its ‘Examples’ demonstrate how
`contourLines()`

can be drawn and are the same (as those from
`contour()`

).

### Examples

```
x <- 10*1:nrow(volcano)
y <- 10*1:ncol(volcano)
cl <- contourLines(x, y, volcano)
## summarize the sizes of each the contour lines :
cbind(lev = vapply(cl, `[[`, .5, "level"),
n = vapply(cl, function(l) length(l$x), 1))
z <- outer(-9:25, -9:25)
pretty(range(z), 10) # -300 -200 ... 600 700
utils::str(c2 <- contourLines(z))
# no segments for {-300, 700};
# 2 segments for {-200, -100, 0}
# 1 segment for 100:600
```

*grDevices*version 4.4.0 Index]