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author | jranke <jranke@edb9625f-4e0d-4859-8d74-9fd3b1da38cb> | 2012-11-26 23:03:19 +0000 |
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committer | jranke <jranke@edb9625f-4e0d-4859-8d74-9fd3b1da38cb> | 2012-11-26 23:03:19 +0000 |
commit | df916b91c90f80e2c68f3e136a7b6e07b8c6bae1 (patch) | |
tree | 4b54b46c68a0b5866aa6bf15131b55b34668af08 /R/plot.mkinfit.R | |
parent | d267b8c116f78ee9b7b4d76c9ddb7b8950a127b4 (diff) |
- Added an S3 plot method for mkinfit models
- Fixed a bug in the mkinfit summary method which crashed on missing covariance matrices
git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@58 edb9625f-4e0d-4859-8d74-9fd3b1da38cb
Diffstat (limited to 'R/plot.mkinfit.R')
-rw-r--r-- | R/plot.mkinfit.R | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/R/plot.mkinfit.R b/R/plot.mkinfit.R new file mode 100644 index 0000000..1858aa8 --- /dev/null +++ b/R/plot.mkinfit.R @@ -0,0 +1,45 @@ +plot.mkinfit <- function(x, fit = x, + xlab = "Time", ylab = "Observed", + xlim = range(fit$data$time), ylim = range(fit$data$observed, na.rm = TRUE), + col_obs = 1:length(fit$mkinmod$map), + pch_obs = col_obs, lty_obs = rep(1, length(fit$mkinmod$map)), + add = FALSE, legend = !add, ...) +{ + solution_type = fit$solution_type + fixed <- fit$fixed$value + names(fixed) <- rownames(fit$fixed) + parms.all <- c(fit$parms.all, fixed) + ininames <- c( + rownames(subset(fit$start, type == "state")), + rownames(subset(fit$fixed, type == "state"))) + odeini <- parms.all[ininames] + names(odeini) <- names(fit$mkinmod$diffs) + + outtimes <- seq(xlim[1], xlim[2], length.out=100) + + odenames <- c( + rownames(subset(fit$start, type == "deparm")), + rownames(subset(fit$fixed, type == "deparm"))) + odeparms <- parms.all[odenames] + + out <- mkinpredict(fit$mkinmod, odeparms, odeini, outtimes, + solution_type = solution_type, atol = fit$atol, rtol = fit$rtol, ...) + + # Set up the plot if not to be added to an existing plot + if (add == FALSE) { + plot(0, type="n", + xlim = xlim, ylim = ylim, + xlab = xlab, ylab = ylab, ...) + } + # Plot the data and model output + names(col_obs) <- names(pch_obs) <- names(lty_obs) <- names(fit$mkinmod$map) + for (obs_var in names(fit$mkinmod$map)) { + points(subset(fit$data, variable == obs_var, c(time, observed)), + pch = pch_obs[obs_var], col = col_obs[obs_var]) + } + matlines(out$time, out[-1], col = col_obs, lty = lty_obs) + if (legend == TRUE) { + legend("topright", inset=c(0.05, 0.05), legend=names(fit$mkinmod$map), + col=col_obs, pch=pch_obs, lty=lty_obs) + } +} |