Plot eda_rline model — plot.eda

A plot method for lists of eda_rline class.

Usage

# S3 method for class 'eda_rline'
plot(
  x,
  plot = "model",
  xlab = NULL,
  ylab = NULL,
  model = TRUE,
  pt3 = TRUE,
  seg = TRUE,
  fit = TRUE,
  fit.col = rgb(1, 0, 0),
  grey = 0.6,
  sd = FALSE,
  mean.l = FALSE,
  reg = FALSE,
  lm.col = rgb(0.7, 0.7, 1, 0.8),
  lm.lty = 2,
  loe = NULL,
  loe.col = rgb(0.7, 0.7, 1, 0.8),
  loe.lty = 2,
  ...
)

Arguments

x: Object of class eda_rline.
plot: Plot type. One of two: "model", "residuals".
xlab: Custom x-axis label. Defaults to column name.
ylab: Custom y-axis label. Defaults to column name.
model: Logical; whether to show the resulting model above plot. Only applies to type = "model".
pt3: Logical; whether to show the 3-pt summaries. Only applies to type = "model".
seg: Logical; whether line segments showing partitioning of x variables should be displayed.
fit: Logical; whether to show the resistant fitted line.
fit.col: Resistant line color.
grey: Numeric between 0–1; controls grayscale background elements (0 = black, 1 = white).
sd: Logical; whether to show ±1 SD lines.
mean.l: Logical; whether to show mean reference lines.
reg: Logical; whether to fit and display an OLS regression line.
lm.col: OLS regression line color (only applicable if reg = TRUE.
lm.lty: OLS regression line line type (only applicable if reg = TRUE.
loe: Logical; whether to plot loess smooth line.
loe.col: loess smooth line color (only applicable if loe = TRUE.
loe.lty: loess smooth line type (only applicable if loe = TRUE.
...: Arguments to be passed to .eda_plot_xy.

Value

Returns the margins (mar) used to generate the plot via the par() function. This parameter can be set with a subsequent call to par() if additional elements are to be added to the plot.

Details

The function generates a scatter plot with the fitted model from an eda_rline object.

Examples

r.lm <- eda_rline(age_height, Months, Height)

plot(r.lm)

plot(r.lm, pt3 = FALSE)


# And an OLS regression line for comparison (defaults to blue dashed line)
plot(r.lm, reg = TRUE)

#>        int   Months^1 
#> 79.6962314  0.5112868 

# Plot residuals vs dependence plot. A Loess smooth is fitted to the data.
plot(r.lm, plot = "residuals")