crossplot: Create a basic cross-sectional plot using standard evaluation...

In ChandlerLutz/crossplotr: Easily create cross-sectional plots with ggplot2

Description

Create a basic cross-sectional plot using standard evaluation of the variable names

Usage

crossplot(data, x.var, y.var, size.var = NULL, shapes.var = NULL,
  label.var = NULL, control.vars = NULL, title = NULL, xlabel = NULL,
  ylabel = NULL, shapes = c(1, 2, 0, 5, 6), colors = c("blue", "red",
  "darkgreen"), points.alpha = 1)

Arguments

data	the data to be plotted
x.var	string with the x axis variable
y.var	string with the y axis variable
size.var	string with the size (weighting) variable. Defaults to NULL
shapes.var	string with the shapes (different shapes for different) points variable. Defaults to NULL
label.var	string with the names of the points that can be used with geom_text or geom_text_repel
control.vars	a character vector with the names of variables that will be used as controls via the Frisch<e2><80><93>Waugh<e2><80><93>Lovell theorem. The result will be a plot (an AV Plot) and statistics where the variables in control.vars are partialed out. These variables must be present in the original dataset. Note: if control.vars is set, an attribute will be added to the returned plot and will be named control.vars
title	string with the the title for plot
xlabel	string with the xlabel. Defualts to NULL
ylabel	string with the ylabel
shapes	numeric vector with the shapes of the points. For shape options, see http://www.cookbook-r.com/Graphs/Shapes_and_line_types/
colors	character vector with the colors for different points. Defaults to c("blue", "red", "green")
points.alpha	numeric(1) indicating the alpha to be applied to the points. Default value is 1. Setting points.alpha = 0.7 is helpful when plotting labels with the points

Value

a ggplot2 plot with the cross-sectional output

Examples

data(mtcars)
crossplot(mtcars, x.var = "mpg", y.var = "hp", size.var = "wt",
          shapes.var = "cyl")
##Control for (partial out) qsec
p <- crossplot(mtcars, x.var = "hp", y.var = "mpg", size.var = "wt",
              shapes.var = "cyl", control.vars = "qsec")
print(p)
p$control.vars

ChandlerLutz/crossplotr documentation built on May 6, 2019, 9:56 a.m.