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")
```