Residual plots

Residual-based diagnostic plots for cumulative link and general regression models using ggplot2 graphics.

autoplot.resid(object, what = c("qq", "fitted", "covariate"), x = NULL,
  fit = NULL, distribution = qnorm, ncol = NULL, alpha = 1,
  xlab = NULL, color = "#444444", shape = 19, size = 2,
  qqpoint.color = "#444444", qqpoint.shape = 19, qqpoint.size = 2,
  qqline.color = "#888888", qqline.linetype = "dashed", qqline.size = 1,
  smooth = TRUE, smooth.color = "red", smooth.linetype = 1,
  smooth.size = 1, fill = NULL, ...)

autoplot.clm(object, what = c("qq", "fitted", "covariate"), x = NULL,
  fit = NULL, distribution = qnorm, ncol = NULL, alpha = 1,
  xlab = NULL, color = "#444444", shape = 19, size = 2,
  qqpoint.color = "#444444", qqpoint.shape = 19, qqpoint.size = 2,
  qqline.color = "#888888", qqline.linetype = "dashed", qqline.size = 1,
  smooth = TRUE, smooth.color = "red", smooth.linetype = 1,
  smooth.size = 1, fill = NULL, ...)

autoplot.glm(object, what = c("qq", "fitted", "covariate"), x = NULL,
  fit = NULL, distribution = qnorm, ncol = NULL, alpha = 1,
  xlab = NULL, color = "#444444", shape = 19, size = 2,
  qqpoint.color = "#444444", qqpoint.shape = 19, qqpoint.size = 2,
  qqline.color = "#888888", qqline.linetype = "dashed", qqline.size = 1,
  smooth = TRUE, smooth.color = "red", smooth.linetype = 1,
  smooth.size = 1, fill = NULL, ...)

autoplot.lrm(object, what = c("qq", "fitted", "covariate"), x = NULL,
  fit = NULL, distribution = qnorm, ncol = NULL, alpha = 1,
  xlab = NULL, color = "#444444", shape = 19, size = 2,
  qqpoint.color = "#444444", qqpoint.shape = 19, qqpoint.size = 2,
  qqline.color = "#888888", qqline.linetype = "dashed", qqline.size = 1,
  smooth = TRUE, smooth.color = "red", smooth.linetype = 1,
  smooth.size = 1, fill = NULL, ...)

autoplot.orm(object, what = c("qq", "fitted", "covariate"), x = NULL,
  fit = NULL, distribution = qnorm, ncol = NULL, alpha = 1,
  xlab = NULL, color = "#444444", shape = 19, size = 2,
  qqpoint.color = "#444444", qqpoint.shape = 19, qqpoint.size = 2,
  qqline.color = "#888888", qqline.linetype = "dashed", qqline.size = 1,
  smooth = TRUE, smooth.color = "red", smooth.linetype = 1,
  smooth.size = 1, fill = NULL, ...)

autoplot.polr(object, what = c("qq", "fitted", "covariate"), x = NULL,
  fit = NULL, distribution = qnorm, ncol = NULL, alpha = 1,
  xlab = NULL, color = "#444444", shape = 19, size = 2,
  qqpoint.color = "#444444", qqpoint.shape = 19, qqpoint.size = 2,
  qqline.color = "#888888", qqline.linetype = "dashed", qqline.size = 1,
  smooth = TRUE, smooth.color = "red", smooth.linetype = 1,
  smooth.size = 1, fill = NULL, ...)

autoplot.vglm(object, what = c("qq", "fitted", "covariate"), x = NULL,
  fit = NULL, distribution = qnorm, ncol = NULL, alpha = 1,
  xlab = NULL, color = "#444444", shape = 19, size = 2,
  qqpoint.color = "#444444", qqpoint.shape = 19, qqpoint.size = 2,
  qqline.color = "#888888", qqline.linetype = "dashed", qqline.size = 1,
  smooth = TRUE, smooth.color = "red", smooth.linetype = 1,
  smooth.size = 1, fill = NULL, ...)

Arguments

object	An object of class clm, glm, lrm, orm, polr, or vglm.
what	Character string specifying what to plot. Default is "qq" which produces a quantile-quantile plots of the residuals.
x	A vector giving the covariate values to use for residual-by- covariate plots (i.e., when what = "covariate").
fit	The fitted model from which the residuals were extracted. (Only required if what = "fitted" and object inherits from class "resid".)
distribution	Function that computes the quantiles for the reference distribution to use in the quantile-quantile plot. Default is qnorm which is only appropriate for models using a probit link function. When jitter.scale = "probability", the reference distribution is always U(-0.5, 0.5). (Only required if object inherits from class "resid".)
ncol	Integer specifying the number of columns to use for the plot layout (if requesting multiple plots). Default is NULL.
alpha	A single values in the interval [0, 1] controlling the opacity alpha of the plotted points. Only used when nsim > 1.
xlab	Character string giving the text to use for the x-axis label in residual-by-covariate plots. Default is NULL.
color	Character string or integer specifying what color to use for the points in the residual vs fitted value/covariate plot. Default is "black".
shape	Integer or single character specifying a symbol to be used for plotting the points in the residual vs fitted value/covariate plot.
size	Numeric value specifying the size to use for the points in the residual vs fitted value/covariate plot.
qqpoint.color	Character string or integer specifying what color to use for the points in the quantile-quantile plot.
qqpoint.shape	Integer or single character specifying a symbol to be used for plotting the points in the quantile-quantile plot.
qqpoint.size	Numeric value specifying the size to use for the points in the quantile-quantile plot.
qqline.color	Character string or integer specifying what color to use for the points in the quantile-quantile plot.
qqline.linetype	Integer or character string (e.g., "dashed") specifying the type of line to use in the quantile-quantile plot.
qqline.size	Numeric value specifying the thickness of the line in the quantile-quantile plot.
smooth	Logical indicating whether or not too add a nonparametric smooth to certain plots. Default is TRUE.
smooth.color	Character string or integer specifying what color to use for the nonparametric smooth.
smooth.linetype	Integer or character string (e.g., "dashed") specifying the type of line to use for the nonparametric smooth.
smooth.size	Numeric value specifying the thickness of the line for the nonparametric smooth.
fill	Character string or integer specifying the color to use to fill the boxplots for residual-by-covariate plots when x is of class "factor". Default is NULL which colors the boxplots according to the factor levels.
...	Additional optional arguments to be passed onto resids.

Value

A "ggplot" object.

Examples

# See ?resids for an example
?resids
#> Using development documentation for resids