\name{plot.mkinfit} \alias{plot.mkinfit} \title{ Plot the observed data and the fitted model of an mkinfit object } \description{ Solves the differential equations with the optimised and fixed parameters from a previous successful call to \code{\link{mkinfit}} and plots the observed data together with the solution of the fitted model. } \usage{ \method{plot}{mkinfit}(x, fit = x, obs_vars = names(fit$mkinmod$map), xlab = "Time", ylab = "Observed", xlim = range(fit$data$time), ylim = "default", col_obs = 1:length(fit$mkinmod$map), pch_obs = col_obs, lty_obs = rep(1, length(fit$mkinmod$map)), add = FALSE, legend = !add, show_residuals = FALSE, maxabs = "auto", lpos = "topright", inset = c(0.05, 0.05), \dots) } \arguments{ \item{x}{ Alias for fit introduced for compatibility with the generic S3 method. } \item{fit}{ an object of class \code{\link{mkinfit}}. } \item{obs_vars}{ A character vector of names of the observed variables for which the data and the model should be plotted. Defauls to all observed variables in the model. } \item{xlab}{ label for the x axis. } \item{ylab}{ label for the y axis. } \item{xlim}{ plot range in x direction. } \item{ylim}{ plot range in y direction. } \item{col_obs}{ colors used for plotting the observed data and the corresponding model prediction lines. } \item{pch_obs}{ symbols to be used for plotting the data. } \item{lty_obs}{ line types to be used for the model predictions. } \item{add}{ should the plot be added to an existing plot? } \item{legend}{ should a legend be added to the plot? } \item{show_residuals}{ should residuals be shown in the lower third of the plot? } \item{maxabs}{ Maximum absolute value of the residuals. This is used for the scaling of the y axis and defaults to "auto". } \item{lpos}{ position of the legend. Passed to \code{\link{legend}} as the first argument. } \item{inset}{ Passed to \code{\link{legend}} if applicable. } \item{\dots}{ further arguments passed to \code{\link{plot}}. } } \value{ The function is called for its side effect. } \examples{ # One parent compound, one metabolite, both single first order, path from # parent to sink included SFO_SFO <- mkinmod(parent = mkinsub("SFO", "m1", full = "Parent"), m1 = mkinsub("SFO", full = "Metabolite M1" )) fit <- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE) plot(fit) } \author{ Johannes Ranke } \keyword{ hplot }