Draw eikosogram using a formula to identify response and conditioning variates

Usage

# S3 method for class 'formula'
eikos(
  y,
  x = NULL,
  data = NULL,
  marginalize = NULL,
  main = "",
  main_size = 16,
  ylabs = TRUE,
  ylab_rot = 0,
  yname_size = 12,
  yvals_size = 12,
  yaxs = TRUE,
  yprobs = NULL,
  yprobs_size = 8,
  xlabs = TRUE,
  xlab_rot = 0,
  xname_size = 12,
  xvals_size = 12,
  xaxs = TRUE,
  xprobs = NULL,
  xprobs_size = 8,
  vertical_xprobs = TRUE,
  ispace = list(bottom = 8, left = 2, top = 2, right = 5),
  legend = FALSE,
  col = NULL,
  bottomcol = "steelblue",
  topcol = "snow2",
  lcol = "black",
  draw = TRUE,
  newpage = TRUE,
  lock_aspect = TRUE
)

Arguments

y: Either the name of a variable in the data set (eikos.default), or a formula of such variables (eikos.formula).
x: name(s) of any conditional variable(s) (horizontal axis). Should be null if formula given.
data: data frame or table
marginalize: variable(s) to marginalize on, or NULL if none. Marginalized variables still appear in plot.
main: title of plot
main_size: font size of title (in points)
ylabs: logical, whether y labels should appear or not.
ylab_rot: rotation of y labels
yname_size: font size of vertical axis names (in points)
yvals_size: font size of labels for values of y variable (in points)
yaxs: logical, whether y axis should appear or not.
yprobs: probabilities to be shown on y-axis. NULL if they should be calculated from the data.
yprobs_size: font size of labels for horizontal probabilities (in points)
xlabs: logical, whether x labels should appear or not.
xlab_rot: rotation of x labels
xname_size: font size of horizontal axis names (in points)
xvals_size: font size of labels for values of x variables (in points)
xaxs: logical, whether x axis should appear or not.
xprobs: probabilities to be shown on x-axis. NULL if they should be calculated from the data.
xprobs_size: font size of labels for horizontal probabilities (in points)
vertical_xprobs: logical, whether probabilities on x axis should be rotated vertically.
ispace: list of four items (bottom, left, top, right) indicating the margins separating the text around the diagram. Each value is a positive integer giving a measure in "points".
legend: logical, whether to include legend
col: a vector of colours to match the response values. If NULL (the default), the colours are constructed as a smooth transition from `bottomcol` to `topcol` via `grDevices::colorRampPalette
bottomcol: bottom colour
topcol: top colour
lcol: colour of lines
draw: logical, whether to draw eikosogram.
newpage: logical, whether to draw on a newpage.
lock_aspect: logical, whether to force entire plot to 1:1 aspect ratio.

Examples

eikos(Eye ~ Hair + Sex, data=HairEyeColor)

eikos(Hair ~ ., data=HairEyeColor, 
      yaxs = FALSE, ylabs = FALSE,
      legend = TRUE, 
      col = c("black", "sienna4", 
              "orangered", "lightgoldenrod" ))

eikos(Hair ~ ., data=HairEyeColor, xlab_rot = 30,
      yprobs = seq(0.1, 1, 0.1),
      yvals_size = 10,
      xvals_size = 8,
      ispace = list(bottom = 10),
      bottomcol = "grey30", topcol = "grey70",
      lcol = "white")

eikos(Hair ~ ., data=HairEyeColor, xlab_rot = 30,
      marginalize = "Eye",
      yvals_size = 10,
      xvals_size = 8,
      ispace = list(bottom = 10),
      bottomcol = "grey30", topcol = "grey70",
      lcol = "white")

eikos(Hair ~ ., data=HairEyeColor, xlab_rot = 30,
      marginalize = c("Eye", "Sex"),
      yvals_size = 10,
      xvals_size = 8,
      ispace = list(bottom = 10),
      bottomcol = "grey30", topcol = "grey70",
      lcol = "white")