eikos.formula {eikosograms}

Draw eikosogram using a formula to identify response and conditioning variates

Description

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")