mkinerrplot | R Documentation |
This function plots the squared residuals for the specified subset of the
observed variables from an mkinfit object. In addition, one or more dashed
line(s) show the fitted error model. A combined plot of the fitted model
and this error model plot can be obtained with plot.mkinfit
using the argument show_errplot = TRUE
.
mkinerrplot(
object,
obs_vars = names(object$mkinmod$map),
xlim = c(0, 1.1 * max(object$data$predicted)),
xlab = "Predicted",
ylab = "Squared residual",
maxy = "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. |
xlab |
Label for the x axis. |
ylab |
Label for the y axis. |
maxy |
Maximum 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.
Johannes Ranke
mkinplot
, for a way to plot the data and the fitted
lines of the mkinfit object.
## Not run:
model <- mkinmod(parent = mkinsub("SFO", "m1"), m1 = mkinsub("SFO"))
fit <- mkinfit(model, FOCUS_2006_D, error_model = "tc", quiet = TRUE)
mkinerrplot(fit)
## End(Not run)
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