Plot a scatter plot of a binary variable. xvar is the continuous independent variable and yvar is the dependent binary variable

Plot a scatter plot of a binary variable. xvar is the continuous independent variable and yvar is the dependent binary variable

BinaryYScatterPlot(frame, xvar, yvar, title, ..., se = FALSE,
  use_glm = TRUE)

Arguments

frame	data frame to get values from
xvar	name of the independent column in frame
yvar	name of the dependent (output or result to be modeled) column in frame
title	title to place on plot
...	no unnamed argument, added to force named binding of later arguments.
se	if TRUE, add error bars (defaults to FALSE). Ignored if useGLM is TRUE
use_glm	if TRUE, "smooths" with a one-variable logistic regression (defaults to TRUE)

Examples

set.seed(34903490)
x = rnorm(50)
y = 0.5*x^2 + 2*x + rnorm(length(x))
frm = data.frame(x=x,y=y,yC=y>=as.numeric(quantile(y,probs=0.8)))
frm$absY <- abs(frm$y)
frm$posY = frm$y > 0
frm$costX = 1
WVPlots::BinaryYScatterPlot(frm, "x", "posY",
   title="Example 'Probability of Y' Plot")