| calculate_precision {PrInCE} | R Documentation |
Calculate the precision of a list of interactions at each point in the list, given a set of labels.
calculate_precision(labels)
labels |
a vector of zeroes (FPs) and ones (TPs) |
a vector of the same length giving the precision at each point in the input vector
## calculate features
data(scott)
data(scott_gaussians)
subset <- scott[seq_len(500), ] ## limit to first 500 proteins
gauss <- scott_gaussians[names(scott_gaussians) %in% rownames(subset)]
features <- calculate_features(subset, gauss)
## make training labels
data(gold_standard)
ref <- adjacency_matrix_from_list(gold_standard)
labels <- make_labels(ref, features)
## predict interactions with naive Bayes classifier
ppi <- predict_ensemble(features, labels, classifier = "NB", cv_folds = 3,
models = 1)
## tag precision of each interaction
ppi$precision <- calculate_precision(ppi$label)