Call `rasterImage`

to plot `image`

from ```
(xleft,
ybottom)
```

to either `xright`

or `ytop`

, shrinking one
toward the center to avoid distortion.

`angle`

specifies a rotation around the midpoint
(`(xleft+xright)/2`

, `(ybottom+ytop)/2`

). This is
different from `rasterImage`

, which rotates
around `(xleft, ybottom)`

.

NOTE: The code may change in the future. The visual image with rotation looks a little off in the examples below, but the code seems correct. If you find an example where this is obviously off, please report to the maintainer – especially if you find a fix for this.

1 2 3 |

`image` |
a |

`xleft` |
a vector (or scalar) of left x positions. |

`ybottom` |
a vector (or scalar) of bottom y positions. |

`xright` |
a vector (or scalar) of right x positions. |

`ytop` |
a vector (or scalar) of top y positions. |

`angle` |
angle of rotation in degrees, anti-clockwise about the centroid
of NOTE: |

`interpolate` |
a logical vector (or scalar) indicating whether to apply linear interpolation to the image when drawing. |

`xsub, ysub` |
subscripts to subset |

`...` |
graphical parameters (see |

1. imagePixels = number of (x, y) pixels in `image`

. Do this
using dim(as.raster(image))[2:1], because the first dimension of
`image`

can be either x or y depending on `class(image)`

.
For example `link[EBImage]{Image}`

returns `dim`

with x
first then y and an optional third dimension for color. A simple
3-dimensional array is assumed by `rasterImage`

to have
the y dimension first. `as.raster`

puts all these in a
standard format with y first, then x.

2. imageUnits <- c(x=xright-xleft, ytop-ybottom)

3. xyinches = (x, y) units per inch in the current plot, obtained
from `xyinch`

.

4. Compute pixel density (pixels per inch) in both x and y dimension: pixelsPerInch <- imagePixels * xyinches / imageUnits.

5. Compute imageUnitsAdj solving 4 for imageUnits and replacing pixelsPerInch by the max pixel density: imageUnitsAdj <- imagePixels * xyinches / max(pixelsPerInch).

6. (dX, dY) = imageUnitsAdj/2 = half of the (width, height) in plotting units.

7. cntr = (xleft, ybottom) + (dX, dY).

xleft0 = cntr[1]+sin((angle-90)*pi/180)*dX*sqrt(2); ybottom0= cntr[2]-cos((angle-90)*pi/180)*dY*sqrt(2);

(xright0, ytop0) = (upper right without rotation about lower left) xright0 = xleft0+imageUnitsAdj[2] ytop0 = ybottom0+imageUnitsAdj[2]

8. ```
rasterImage(image, xleft0, ybottom0,
xright0, ytop0, angle, interpolate, ...)
```

a named vector giving the values of `xleft`

,
`ybottom`

, `xright`

, and `ytop`

passed to `rasterImage`

.
(`rasterImage`

returns `NULL`

,
at least for some inputs.) This shows the adjustment,
shrinking toward the center and rotating as desired.

Spencer Graves

`rasterImage`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | ```
# something to plot
logo.jpg <- paste(R.home(), "doc", "html", "logo.jpg",
sep = .Platform$file.sep)
if(require(jpeg)){
##
## 1. Shrink as required
##
Rlogo <- readJPEG(logo.jpg)
all.equal(dim(Rlogo), c(76, 100, 3))
plot(1:2)
# default
rasterImageAdj(Rlogo)
plot(1:2, type='n', asp=0.75)
# Tall and thin
rasterImage(Rlogo, 1, 1, 1.2, 2)
# Fix
rasterImageAdj(Rlogo, 1.2, 1, 1.4, 2)
# short and wide
rasterImage(Rlogo, 1.4, 1, 2, 1.2)
# Fix
rasterImage(Rlogo, 1.4, 1.2, 2, 1.4)
##
## 2. rotate
##
# 2.1. angle=90: rasterImage left of rasterImageAdj
plot(0:1, 0:1, type='n', asp=1)
rasterImageAdj(Rlogo, .5, .5, 1, 1, 90)
rasterImage(Rlogo, .5, .5, 1, 1, 90)
# 2.2. angle=180: rasterImage left and below
plot(0:1, 0:1, type='n', asp=1)
rasterImageAdj(Rlogo, .5, .5, 1, 1, 180)
rasterImage(Rlogo, .5, .5, 1, 1, 180)
# 2.3. angle=270: rasterImage below
plot(0:1, 0:1, type='n', asp=1)
rasterImageAdj(Rlogo, .5, .5, 1, 1, 270)
rasterImage(Rlogo, .5, .5, 1, 1, 270)
##
## 3. subset
##
dim(Rlogo)
# 76 100 3
Rraster <- as.raster(Rlogo)
dim(Rraster)
# 76 100:
# x=1:100, left to right
# y=1:76, top to bottom
rasterImageAdj(Rlogo, 0, 0, .5, .5, xsub=40:94)
}
``` |

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