cmf_ecvr_plot_coverage_mean_error {conmolfields} | R Documentation |
Producing plot "coverage - mean error" for applicability domain studies
Prediction variance is taken as distance to model
Description
Producing plot "coverage - mean error" for applicability domain studies
Prediction variance is taken as distance to model
Usage
cmf_ecvr_plot_coverage_mean_error(ecvr_fname = "ligands-ecvr.RData", cmep_type = "in", smoothing = TRUE, ...)
Arguments
ecvr_fname |
|
cmep_type |
|
smoothing |
|
... |
|
Examples
##---- 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, ...)
}
[Package
conmolfields version 0.0-19
Index]