mmkin {mkin} | R Documentation |
This function calls mkinfit
on all combinations of models and
datasets specified in its first two arguments.
mmkin( models = c("SFO", "FOMC", "DFOP"), datasets, cores = round(detectCores()/2), cluster = NULL, ... )
models |
Either a character vector of shorthand names like
|
datasets |
An optionally named list of datasets suitable as observed
data for |
cores |
The number of cores to be used for multicore processing. This
is only used when the |
cluster |
A cluster as returned by |
... |
Further arguments that will be passed to |
A two-dimensional array
of mkinfit
objects that can be indexed using the model names for the first index (row index)
and the dataset names for the second index (column index).
Johannes Ranke
[.mmkin
for subsetting, plot.mmkin
for
plotting.
## Not run: m_synth_SFO_lin <- mkinmod(parent = mkinsub("SFO", "M1"), M1 = mkinsub("SFO", "M2"), M2 = mkinsub("SFO"), use_of_ff = "max") m_synth_FOMC_lin <- mkinmod(parent = mkinsub("FOMC", "M1"), M1 = mkinsub("SFO", "M2"), M2 = mkinsub("SFO"), use_of_ff = "max") models <- list(SFO_lin = m_synth_SFO_lin, FOMC_lin = m_synth_FOMC_lin) datasets <- lapply(synthetic_data_for_UBA_2014[1:3], function(x) x$data) names(datasets) <- paste("Dataset", 1:3) time_default <- system.time(fits.0 <- mmkin(models, datasets, quiet = TRUE)) time_1 <- system.time(fits.4 <- mmkin(models, datasets, cores = 1, quiet = TRUE)) time_default time_1 endpoints(fits.0[["SFO_lin", 2]]) # plot.mkinfit handles rows or columns of mmkin result objects plot(fits.0[1, ]) plot(fits.0[1, ], obs_var = c("M1", "M2")) plot(fits.0[, 1]) # Use double brackets to extract a single mkinfit object, which will be plotted # by plot.mkinfit and can be plotted using plot_sep plot(fits.0[[1, 1]], sep_obs = TRUE, show_residuals = TRUE, show_errmin = TRUE) plot_sep(fits.0[[1, 1]]) # Plotting with mmkin (single brackets, extracting an mmkin object) does not # allow to plot the observed variables separately plot(fits.0[1, 1]) ## End(Not run)