Learn R Programming

gplots (version 3.2.0)

space: Space points in an x-y plot so they don't overlap.

Description

Space points in an x-y plot so they don't overlap.

Usage

space(x, y, s=1/50, na.rm=TRUE, direction="x")

Value

list with two components

x

(modified) x location for each input point

y

y location of each input point

Arguments

x

numeric vector of x coordonates.

y

numeric vector of x coordonates.

s

either a single numeric value or 2 element vector specifying the minimum distance between points in the x and y dimensions as a fraction of the x and y range. Defaults to 1/50.

na.rm

logical indicating whether pairs where one or both elements are missing should be removed. Defaults to TRUE.

direction

"x" or "y", indicating which direction points should be moved to accomplish spacine.

Author

Gregory R. Warnes greg@warnes.net

Details

In an x-y plot where at least one variable has discrete levels several points may be plotted at or very near the same coordonates. This makes it difficult to guage the number of points in a specific region. A common method of resolving this problem is to 'jitter' the points by adding random noise.

This function takes a different approach to the same problem.

When there are two or more points with the same (x,y) value (or within x+-s[1] and x+-s[2]), it spaces these out in the x direction so that the points are separated by at least distance s.

Another method for dealing with overploting is available in the sunflowerplot function.

See Also

Examples

Run this code
   x <- rep(1:5, 10)
   y <- round(rnorm(length(x),x))

   prepar <- par("mfrow")
   par(mfrow=c(1,3))

   # standard x-y plot: noverlapping points are hidden
   plot(x,y)
   title("Standard Plot") 

   # 'spaced' plot: overlapping points are spread out and visible
   plot(space(x,y))
   title("Plot with 'space'")


   # 'spaced' plot: overlapping points are spread out along y and visible
   plot(space(x,y, direction='y'))
   title("Plot with 'space', direction='y' ")


   # 'sunflower' plot, another approach, overlapping points are
   # indicated via petals
   sunflowerplot(x,y)
   title("Sunflower Plot")

   # \testonly{
     # check that missign values correctly handled
     x <- c(x,NA)
     y <- c(y,NA)
     plot(space(x,y))
   # }

   par(mfrow=prepar)

Run the code above in your browser using DataLab