plot_lm: Plotting several kinds of regression line

In phytomosaic/ecole: ecole: School of Ecology Package

Description

Plot a regression line for linear, orthogonal, local-polynomial, kernel, cubic smoothing spline, or GAM regressions.

Usage

plot_lm(
  x,
  y,
  col = "#00000040",
  lcol = "#FF0000BF",
  ci.col = "#ffd800",
  cex = 0.8,
  pch = 16,
  xlab = NULL,
  ylab = NULL,
  args.func = list(),
  interval = c("none", "confidence", "prediction"),
  ...
)

plot_ortho(
  x,
  y,
  col = "#00000040",
  lcol = "#FF0000BF",
  cex = 0.8,
  pch = 16,
  xlab = NULL,
  ylab = NULL,
  args.func = list(),
  ...
)

plot_loess(
  x,
  y,
  col = "#00000040",
  lcol = "#FF0000BF",
  cex = 0.8,
  pch = 16,
  xlab = NULL,
  ylab = NULL,
  args.func = list(),
  ...
)

plot_kernel(
  x,
  y,
  col = "#00000040",
  lcol = "#FF0000BF",
  cex = 0.8,
  pch = 16,
  xlab = NULL,
  ylab = NULL,
  args.func = list(),
  ...
)

plot_spline(
  x,
  y,
  col = "#00000040",
  lcol = "#FF0000BF",
  cex = 0.8,
  pch = 16,
  xlab = NULL,
  ylab = NULL,
  args.func = list(),
  ...
)

plot_gam(
  x,
  y,
  col = "#00000040",
  lcol = "#FF0000BF",
  cex = 0.8,
  pch = 16,
  xlab = NULL,
  ylab = NULL,
  args.func = list(),
  ...
)

Arguments

x, y	vectors of x- and y-axis values.
col	vector of point colors.
lcol	vector of line colors.
ci.col	confidence interval color.
cex	numeric vector for scaling point size.
pch	a vector of plotting characters or symbols: see points.
xlab, ylab	character strings for axis labels.
args.func	further arguments passed to the regression function.
interval	type of interval calculation, for linear model only.
...	further arguments passed to plot.

Details

Plots a scatterplot with a regression line, useful for quick exploratory analysis.

Value

A plot object.

See Also

lm, prcomp, loess, ksmooth, smooth.spline, and gam for the underlying functions.

Examples

set.seed(23)
n <- 55
x <- sin(1:n/pi)
y <- runif(n, 0, 0.75) + x
x[12] <- NA  # handles NA
set_par(6)
plot_lm(x, y, main='Linear', interval='confidence')
plot_ortho(x, y, main='Orthogonal') # not identical to linear!
plot_loess(x, y,  args.func=list(span=0.2), main='Loess')
plot_kernel(x, y, args.func=list(bandwidth=0.2), main='Kernel')
plot_spline(x, y, args.func=list(df=11), main='Spline')
plot_gam(x, y, args.func=list(gamma=0.5), main='GAM')

phytomosaic/ecole documentation built on Jan. 2, 2022, 11:24 p.m.