diff options
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/mkinplot.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/mkinplot.R')
-rw-r--r-- | R/mkinplot.R | 38 |
1 files changed, 2 insertions, 36 deletions
diff --git a/R/mkinplot.R b/R/mkinplot.R index 546c5061..b9becfdf 100644 --- a/R/mkinplot.R +++ b/R/mkinplot.R @@ -1,38 +1,4 @@ -mkinplot <- function(fit, xlab = "Time", ylab = "Observed", xlim = range(fit$data$time), ylim = range(fit$data$observed, na.rm = TRUE), legend = TRUE, ...) +mkinplot <- function(fit, ...) { - 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, ...) - - # Plot the data and model output - plot(0, type="n", - xlim = xlim, ylim = ylim, - xlab = xlab, ylab = ylab, ...) - col_obs <- pch_obs <- lty_obs <- 1:length(fit$mkinmod$map) - 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]) - 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) - } + plot(fit, ...) } |