dot-rcspline.plot: Internal function

In CalibrationCurves: Calibration Performance

Internal function

Description

Adjusted version of the rcspline.plot function where only the output is returned and no plot is made

Usage

.rcspline.plot(
  x,
  y,
  model = c("logistic", "cox", "ols"),
  xrange,
  event,
  nk = 5,
  knots = NULL,
  show = c("xbeta", "prob"),
  adj = NULL,
  xlab,
  ylab,
  ylim,
  plim = c(0, 1),
  plotcl = TRUE,
  showknots = TRUE,
  add = FALSE,
  plot = TRUE,
  subset,
  lty = 1,
  noprint = FALSE,
  m,
  smooth = FALSE,
  bass = 1,
  main = "auto",
  statloc
)

Arguments

x	a numeric predictor
y	a numeric response. For binary logistic regression, y should be either 0 or 1.
model	"logistic" or "cox". For "cox", uses the coxph.fit function with method="efron" argument set.
xrange	range for evaluating x, default is f and 1 - f quantiles of x, where f = \frac{10}{\max{(n, 200)}} and n the number of observations
event	event/censoring indicator if model="cox". If event is present, model is assumed to be "cox"
nk	number of knots
knots	knot locations, default based on quantiles of x (by rcspline.eval)
show	"xbeta" or "prob" - what is plotted on ⁠y⁠-axis
adj	optional matrix of adjustment variables
xlab	⁠x⁠-axis label, default is the “label” attribute of x
ylab	⁠y⁠-axis label, default is the “label” attribute of y
ylim	⁠y⁠-axis limits for logit or log hazard
plim	⁠y⁠-axis limits for probability scale
plotcl	plot confidence limits
showknots	show knot locations with arrows
add	add this plot to an already existing plot
plot	logical to indicate whether a plot has to be made. FALSE suppresses the plot.
subset	subset of observations to process, e.g. sex == "male"
lty	line type for plotting estimated spline function
noprint	suppress printing regression coefficients and standard errors
m	for model="logistic", plot grouped estimates with triangles. Each group contains m ordered observations on x.
smooth	plot nonparametric estimate if model="logistic" and adj is not specified
bass	smoothing parameter (see supsmu)
main	main title, default is "Estimated Spline Transformation"
statloc	location of summary statistics. Default positioning by clicking left mouse button where upper left corner of statistics should appear. Alternative is "ll" to place below the graph on the lower left, or the actual x and y coordinates. Use "none" to suppress statistics.

Value

list with components (‘⁠knots⁠’, ‘⁠x⁠’, ‘⁠xbeta⁠’, ‘⁠lower⁠’, ‘⁠upper⁠’) which are respectively the knot locations, design matrix, linear predictor, and lower and upper confidence limits

See Also

lrm, cph, rcspline.eval, plot, supsmu, coxph.fit, lrm.fit

CalibrationCurves documentation built on Aug. 8, 2025, 7:46 p.m.