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, ... )
object | A fit represented in an |
---|---|
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 |
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 |
Nothing is returned by this function, as it is called for its side effect, namely to produce a plot.
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.
Johannes Ranke
#>#> Warning: Observations with value of zero were removed from the data#> Warning: Shapiro-Wilk test for standardized residuals: p = 0.0165mkinresplot(fit, "m1")