Function to plot residuals stored in an mkin object

This function plots the residuals for the specified subset of the observed variables from an mkinfit object. A combined plot of the fitted model and the residuals can be obtained using plot.mkinfit using the argument show_residuals = TRUE.

mkinresplot(
  object,
  obs_vars = names(object$mkinmod$map),
  xlim = c(0, 1.1 * max(object$data$time)),
  standardized = FALSE,
  xlab = "Time",
  ylab = ifelse(standardized, "Standardized residual", "Residual"),
  maxabs = "auto",
  legend = TRUE,
  lpos = "topright",
  col_obs = "auto",
  pch_obs = "auto",
  frame = TRUE,
  ...
)

Arguments

object

A fit represented in an mkinfit object.

obs_vars

A character vector of names of the observed variables for which residuals should be plotted. Defaults to all observed variables in the model

xlim

plot range in x direction.

standardized

Should the residuals be standardized by dividing by the standard deviation given by the error model of the fit?

xlab

Label for the x axis.

ylab

Label for the y axis.

maxabs

Maximum absolute value of the residuals. This is used for the scaling of the y axis and defaults to "auto".

legend

Should a legend be plotted?

lpos

Where should the legend be placed? Default is "topright". Will be passed on to legend.

col_obs

Colors for the observed variables.

pch_obs

Symbols to be used for the observed variables.

frame

Should a frame be drawn around the plots?

...

further arguments passed to plot.

Value

Nothing is returned by this function, as it is called for its side effect, namely to produce a plot.

See also

mkinplot, for a way to plot the data and the fitted lines of the mkinfit object, and plot_res for a function combining the plot of the fit and the residual plot.

Author

Johannes Ranke and Katrin Lindenberger

Examples

model <- mkinmod(parent = mkinsub("SFO", "m1"), m1 = mkinsub("SFO"))
#> Temporary DLL for differentials generated and loaded
fit <- mkinfit(model, FOCUS_2006_D, quiet = TRUE)
#> Warning: Observations with value of zero were removed from the data
mkinresplot(fit, "m1")