lsa: Linear Scatterplot Array

In davidaarmstrong/psre: Presenting Statistical Results Effectively

Linear Scatterplot Array

Description

Produces a linear scatterplot array with marginal histograms

Usage

lsa(
  formula,
  xlabels = NULL,
  ylab = NULL,
  data,
  ptsize = 1,
  ptshape = 1,
  ptcol = "gray65",
  linear = TRUE,
  loess = TRUE,
  lm_args = linear_args(),
  lo_args = loess_args(),
  ptalpha = 1,
  ...
)

Arguments

formula	Formula giving the variables to be plotted.
xlabels	Vector of character strings giving the labs of variables to be used in place of the variable names.
ylab	Character string giving y-variable label to be used instead of variable name.
data	A data frame that holds the variables to be plotted.
ptsize	Size of points.
ptshape	Shape of points.
ptcol	Color of points.
linear	Logical indicating whether linear regression line is included.
loess	Logical indicating whether loess smooth should be included.
lm_args	A list of arguments passed to 'geom_smooth()' for the linear regression line.
lo_args	A list or arguments passed to 'geom_smooth()' for the loess smooth.
ptalpha	Alpha of points.
...	Other arguments passed down, currently not implemented.

Value

A cowplot object.

Examples

data(wvs)
lsa(formula = as.formula(sacsecval ~ resemaval + moral + 
                           pct_univ_degree + pct_female + 
                           pct_low_income), 
  xlabels = c("Emancipative Vals", "Moral Perm", 
              "% Univ Degree", "% Female", "% Low Income"), 
  ylab = "Secular Values", 
  data=wvs)

davidaarmstrong/psre documentation built on Aug. 28, 2024, 6:35 a.m.