umxPlot: Quickly plot y ~ x with a regression line and R^2, and nice...

In umx: Structural Equation Modeling and Twin Modeling in R

Quickly plot y ~ x with a regression line and R^2, and nice labels.

Description

Want a figure for your paper or presentation but not the work of combining ggplot2::ggplot(), ggplot2::geom_smooth() and method options, plus ggplot2::geom_point(). Organizing ggplot2::labs() and its x, y, and title components. Adding your preferred theme like ggplot2::theme_gray(), plus recalling for cowplot::draw_label(), and/or ggplot2::annotate() to draw math-enabled labels on the plot, as well as the required bquote(), and extracting the relevant fit statistics from lm() and the subsidiary tasks of reformulate() programmatic variables?

umxPlot just takes y ~ x (or "x" and "y" as strings), and gives you a nicely labelled plot, with a fitted line, the R² so readers can see how well this fitted. It knows how to put Greek symbols like beta into axes.

Usage

umxPlot(
  x,
  y = NULL,
  data,
  xlab = x,
  ylab = y,
  title = paste0(y, " as a function of ", x),
  fitx = NA,
  fity = NA,
  geom_point = TRUE,
  method = c("lm", "auto", "loess", "glm", "gam"),
  family = c("gaussian", "binomial", "Gamma", "inverse", "poisson", "quasi",
    "quasibinomial", "quasipoisson")
)

Arguments

x	formula or (alternatively) x as string
y	variable as string.
data	The data for the graph.
xlab	X-axis label (default y).
ylab	Y-axis label (default y).
title	Graph title. Default = paste0(y, " as a function of ", x)
fitx	x location for the fit summary (default 1).
fity	y location for the fit summary (default 2).
geom_point	show points? (TRUE)
method	Method for fitting curve (default = lm)
family	for glm default = "gaussian"

Value

• plot you can edit.

See Also

• ggplot2::qplot()

Other Plotting functions: ggAddR(), plot.MxLISRELModel(), plot.MxModelTwinMaker(), plot.MxModel(), umxPlotACEcov(), umxPlotACEv(), umxPlotACE(), umxPlotCP(), umxPlotDoC(), umxPlotFun(), umxPlotGxEbiv(), umxPlotGxE(), umxPlotIP(), umxPlotSexLim(), umxPlotSimplex(), umx

Examples

data(mtcars)
umxPlot(mpg ~ wt, data = mtcars, fitx = 2, fity = 10)
umxPlot(x = "wt", y = "mpg", mtcars, fitx = 2, fity = 10)

umx documentation built on Nov. 17, 2023, 1:07 a.m.