cmf_ecvr_plot_coverage_mean_error: Producing plot "coverage - mean error" for applicability...
In conmolfields: Continuous molecular fields

Description Usage Arguments Examples

Producing plot "coverage - mean error" for applicability domain studies Prediction variance is taken as distance to model

1	cmf_ecvr_plot_coverage_mean_error(ecvr_fname = "ligands-ecvr.RData", cmep_type = "in", smoothing = TRUE, ...)

`ecvr_fname`
`cmep_type`
`smoothing`
`...`

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (ecvr_fname = "ligands-ecvr.RData", cmep_type = "in", 
    smoothing = TRUE, ...) 
{
    load(ecvr_fname)
    y_err <- abs(ecvr$y_exp - ecvr$y_pred_mean)
    d2m <- ecvr$y_pred_sd
    cinf_plot_coverage_mean_error(y_err, d2m, cmep_type = cmep_type, 
        smoothing = smoothing, ...)
  }