scatPlotH: Scatterplots with Marginal Histograms

In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities

Description

Scatterplots with Marginal Histograms

Usage

scatPlotH(
  formula,
  data,
  xlab = "default",
  ylab = "default",
  col = "blues",
  x.breaks = "dhist",
  y.breaks = "dhist",
  smooth = FALSE,
  smoother = FALSE,
  regline = TRUE,
  font = "serif",
  inset = 0.05,
  legend.pos = "topright",
  box.lty = 1,
  box.cex = 0.75
)

Arguments

formula	a formula of the form y ~ x
data	a data frame if y and x are not vectors in the global environment or subsets of a data frame
xlab	the x axis label
ylab	the y axis label
col	color scheme. one of "blue" (the default), "red", "green", or "purple"
x.breaks	breaks in x axis histogram. defaults to 15.
y.breaks	breaks in y axis histogram. defaults to 15.
smooth	should a smooth line be added. Defaults to FALSE.
smoother	If FALSE the data are represented as points. If TRUE, a smooth density is used. The latter is useful for large sample sizes.
regline	should a regression line be added? Defaults to TRUE, with both robust and ordinary least squares lines being plotted.
font	Defaults to "serif"
inset	the inset of the legend. Defaults to 0.05
legend.pos	the legend position. Defaults to "topright"
box.lty	the linetype of the legend box outline
box.cex	the size of the legend

Value

a plot

Examples

scatPlotH(Sepal.Width ~ Petal.Length, iris, xlab = "Sepal Width", ylab = "Petal Length", col = "purple")

abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.