AssocBin (version 1.1-0)

plotBinning: Plot a binning using shaded rectangles

Description

Use a binning and vector of fill colours to visualize the sample space of pairwise data.

Usage

plotBinning(
  bins,
  fill,
  add = FALSE,
  factor = 0.5,
  xlab = "x",
  ylab = "y",
  suppressLabs = FALSE,
  border = "black",
  ...
)

Value

A list of lists each with elements `x`, `y`, `bnds`, `expn`, and `n`.

Arguments

bins

list of lists each with a named elements `x`, `y`, and `bnds`, the last of which is a list having named elements `x` and `y`

fill

vector of values which can be interpreted as colours of the same length as `bins`

add

logical, should the plot of bins be added to the current plot area?

factor

number between 0 and 1, what factor should be applied to jittering of categorical variables?

xlab

string, the label to be placed on the x axis

ylab

string, the label to be placed on the y axis

suppressLabs

logical, should axis labels be suppressed or displayed?

border

argument to be passed to `rect` internally giving the border colour

...

optional additional arguments to be passed to `plot`, `points`

Author

Chris Salahub

Details

`plotBinning` plots each bin within a list of bins with custom shading to communicate large residuals, the depth of bins, or highlight particular bins. It automatically jitters points within categorical levels to avoid overplotting.

Examples

bin <- list(x = 1:10, y = sample(1:10),
            bnds = list(x = c(0, 10), y = c(0, 10)),
            expn = 10, n = 10, depth = 0)
bin2 <- halfSplit(bin, "x")
bin3 <- unlist(lapply(bin2, maxScoreSplit, scorer = chiScores),
               recursive = FALSE)
plotBinning(bin3)