Plot a scatter plot with smoothing line.

Plot a scatter plot with a smoothing line; the smoothing window is aligned either left, center or right.

ConditionalSmoothedScatterPlot(
  frame,
  xvar,
  yvar,
  groupvar = NULL,
  title = "ConditionalSmoothedScatterPlot",
  ...,
  k = 3,
  align = "center",
  point_color = "black",
  point_alpha = 0.2,
  smooth_color = "black",
  palette = "Dark2"
)

Arguments

frame	data frame to get values from
xvar	name of the independent column in frame. Assumed to be regularly spaced
yvar	name of the dependent (output or result to be modeled) column in frame
groupvar	name of the grouping column in frame. Can be NULL for an unconditional plot
title	title for plot
...	no unnamed argument, added to force named binding of later arguments.
k	width of smoothing window. Must be odd for a center-aligned plot. Defaults to 3
align	smoothing window alignment: 'center', 'left', or 'right'. Defaults to 'center'
point_color	color of points, when groupvar is NULL. Set to NULL to turn off points.
point_alpha	alpha/opaqueness of points.
smooth_color	color of smoothing line, when groupvar is NULL
palette	name of Brewer palette, when groupvar is non-NULL (can be NULL)

Details

xvar is the continuous independent variable and yvar is the dependent binary variable. Smoothing is by a square window of width k.

If palette is NULL, and groupvar is non-NULL, plot colors will be chosen from the default ggplot2 palette. Setting palette to NULL allows the user to choose a non-Brewer palette, for example with scale_fill_manual.

Examples

y = c(1,2,3,4,5,10,15,18,20,25)
x = seq_len(length(y))
df = data.frame(x=x, y=y, group=x>5)
WVPlots::ConditionalSmoothedScatterPlot(df, "x", "y", NULL,
   title="left smooth, one group", align="left")
WVPlots::ConditionalSmoothedScatterPlot(df, "x", "y", "group",
   title="left smooth, two groups", align="left")