mkinerrplot {mkin} | 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", ...)
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. |
... |
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)